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Information Age
Information Age
from Wikipedia

Third Industrial Revolution
1947–present
Second Industrial Revolution Fourth Industrial Revolution class-skin-invert-image
A laptop connected to the Internet displaying information from Wikipedia; long-distance communication between computer systems is a hallmark of the Information Age
LocationWorldwide
Key eventsInvention of the transistor
Computer miniaturization
Invention of the Internet

The Information Age[a] is a historical period that began in the mid-20th century. It is characterized by a rapid shift from traditional industries, as established during the Industrial Revolution, to an economy centered on information technology. The onset of the Information Age has been linked to the development of the transistor in 1947.[2] This technological advance has had a significant impact on the way information is processed and transmitted.

According to the United Nations Public Administration Network, the Information Age was formed by capitalizing on computer miniaturization advances,[3] which led to modernized information systems and internet communications as the driving force of social evolution.[4]

There is ongoing debate concerning whether the Third Industrial Revolution has already ended, and if the Fourth Industrial Revolution has already begun due to the recent breakthroughs in areas such as artificial intelligence and biotechnology.[5] This next transition has been theorized to harken the advent of the Imagination Age, the Internet of things (IoT), and rapid advances in machine learning.

History

[edit]

The digital revolution converted technology from analog format to digital format. By doing this, it became possible to make copies that were identical to the original. In digital communications, for example, repeating hardware was able to amplify the digital signal and pass it on with no loss of information in the signal. Of equal importance to the revolution was the ability to easily move the digital information between media, and to access or distribute it remotely. One turning point of the revolution was the change from analog to digitally recorded music.[6] During the 1980s the digital format of optical compact discs gradually replaced analog formats, such as vinyl records and cassette tapes, as the popular medium of choice.[7]

Previous inventions

[edit]

Humans have manufactured tools for counting and calculating since ancient times, such as the abacus, astrolabe, equatorium, and mechanical timekeeping devices. More complicated devices started appearing in the 1600s, including the slide rule and mechanical calculators. By the early 1800s, the Industrial Revolution had produced mass-market calculators like the arithmometer and the enabling technology of the punch card. Charles Babbage proposed a mechanical general-purpose computer called the Analytical Engine, but it was never successfully built, and was largely forgotten by the 20th century and unknown to most of the inventors of modern computers.

The Second Industrial Revolution in the last quarter of the 19th century developed useful electrical circuits and the telegraph. In the 1880s, Herman Hollerith developed electromechanical tabulating and calculating devices using punch cards and unit record equipment, which became widespread in business and government.

Meanwhile, various analog computer systems used electrical, mechanical, or hydraulic systems to model problems and calculate answers. These included an 1872 tide-predicting machine, differential analysers, perpetual calendar machines, the Deltar for water management in the Netherlands, network analyzers for electrical systems, and various machines for aiming military guns and bombs. The construction of problem-specific analog computers continued in the late 1940s and beyond, with FERMIAC for neutron transport, Project Cyclone for various military applications, and the Phillips Machine for economic modeling.

Building on the complexity of the Z1 and Z2, German inventor Konrad Zuse used electromechanical systems to complete in 1941 the Z3, the world's first working programmable, fully automatic digital computer. Also during World War II, Allied engineers constructed electromechanical bombes to break German Enigma machine encoding. The base-10 electromechanical Harvard Mark I was completed in 1944, and was to some degree improved with inspiration from Charles Babbage's designs.

1947–1969: Origins

[edit]
A Pennsylvania state historical marker in Philadelphia cites the creation of ENIAC, the "first all-purpose digital computer", in 1946 as the beginning of the Information Age.

In 1947, the first working transistor, the germanium-based point-contact transistor, was invented by John Bardeen and Walter Houser Brattain while working under William Shockley at Bell Labs.[8] This led the way to more advanced digital computers. From the late 1940s, universities, military, and businesses developed computer systems to digitally replicate and automate previously manually performed mathematical calculations, with the LEO being the first commercially available general-purpose computer.

Digital communication became economical for widespread adoption after the invention of the personal computer in the 1970s. Claude Shannon, a Bell Labs mathematician, is credited for having laid out the foundations of digitalization in his pioneering 1948 article, A Mathematical Theory of Communication.[9]

In 1948, Bardeen and Brattain patented an insulated-gate transistor (IGFET) with an inversion layer. Their concept, forms the basis of CMOS and DRAM technology today.[10] In 1957 at Bell Labs, Frosch and Derick were able to manufacture planar silicon dioxide transistors,[11] later a team at Bell Labs demonstrated a working MOSFET.[12] The first integrated circuit milestone was achieved by Jack Kilby in 1958.[13]

Other important technological developments included the invention of the monolithic integrated circuit chip by Robert Noyce at Fairchild Semiconductor in 1959,[14] made possible by the planar process developed by Jean Hoerni.[15] In 1963, complementary MOS (CMOS) was developed by Chih-Tang Sah and Frank Wanlass at Fairchild Semiconductor.[16] The self-aligned gate transistor, which further facilitated mass production, was invented in 1966 by Robert Bower at Hughes Aircraft[17][18] and independently by Robert Kerwin, Donald Klein and John Sarace at Bell Labs.[19]

In 1962 AT&T deployed the T-carrier for long-haul pulse-code modulation (PCM) digital voice transmission. The T1 format carried 24 pulse-code modulated, time-division multiplexed speech signals each encoded in 64 kbit/s streams, leaving 8 kbit/s of framing information which facilitated the synchronization and demultiplexing at the receiver. Over the subsequent decades the digitisation of voice became the norm for all but the last mile (where analogue continued to be the norm right into the late 1990s).

Following the development of MOS integrated circuit chips in the early 1960s, MOS chips reached higher transistor density and lower manufacturing costs than bipolar integrated circuits by 1964. MOS chips further increased in complexity at a rate predicted by Moore's law, leading to large-scale integration (LSI) with hundreds of transistors on a single MOS chip by the late 1960s. The application of MOS LSI chips to computing was the basis for the first microprocessors, as engineers began recognizing that a complete computer processor could be contained on a single MOS LSI chip.[20] In 1968, Fairchild engineer Federico Faggin improved MOS technology with his development of the silicon-gate MOS chip, which he later used to develop the Intel 4004, the first single-chip microprocessor.[21] It was released by Intel in 1971, and laid the foundations for the microcomputer revolution that began in the 1970s.

MOS technology also led to the development of semiconductor image sensors suitable for digital cameras.[22] The first such image sensor was the charge-coupled device, developed by Willard S. Boyle and George E. Smith at Bell Labs in 1969,[23] based on MOS capacitor technology.[22]

1969–1989: Invention of the internet, rise of home computers

[edit]
A visualization of the various routes through a portion of the Internet (created via The Opte Project)

The public was first introduced to the concepts that led to the Internet when a message was sent over the ARPANET in 1969. Packet switched networks such as ARPANET, Mark I, CYCLADES, Merit Network, Tymnet, and Telenet, were developed in the late 1960s and early 1970s using a variety of protocols. The ARPANET in particular led to the development of protocols for internetworking, in which multiple separate networks could be joined into a network of networks.

The Whole Earth movement of the 1960s advocated the use of new technology.[24]

In the 1970s, the home computer was introduced,[25] time-sharing computers,[26] the video game console, the first coin-op video games,[27][28] and the golden age of arcade video games began with Space Invaders. As digital technology proliferated, and the switch from analog to digital record keeping became the new standard in business, a relatively new job description was popularized, the data entry clerk. Culled from the ranks of secretaries and typists from earlier decades, the data entry clerk's job was to convert analog data (customer records, invoices, etc.) into digital data.

In developed nations, computers achieved semi-ubiquity during the 1980s as they made their way into schools, homes, business, and industry. Automated teller machines, industrial robots, CGI in film and television, electronic music, bulletin board systems, and video games all fueled what became the zeitgeist of the 1980s. Millions of people purchased home computers, making household names of early personal computer manufacturers such as Apple, Commodore, and Tandy. To this day the Commodore 64 is often cited as the best selling computer of all time, having sold 17 million units (by some accounts)[29] between 1982 and 1994.

In 1984, the U.S. Census Bureau began collecting data on computer and Internet use in the United States; their first survey showed that 8.2% of all U.S. households owned a personal computer in 1984, and that households with children under the age of 18 were nearly twice as likely to own one at 15.3% (middle and upper middle class households were the most likely to own one, at 22.9%).[30] By 1989, 15% of all U.S. households owned a computer, and nearly 30% of households with children under the age of 18 owned one.[31] By the late 1980s, many businesses were dependent on computers and digital technology.

Motorola created the first mobile phone, Motorola DynaTac, in 1983. However, this device used analog communication – digital cell phones were not sold commercially until 1991 when the 2G network started to be opened in Finland to accommodate the unexpected demand for cell phones that was becoming apparent in the late 1980s.

Compute! magazine predicted that CD-ROM would be the centerpiece of the revolution, with multiple household devices reading the discs.[32]

The first true digital camera was created in 1988, and the first were marketed in December 1989 in Japan and in 1990 in the United States.[33] By the early 2000s, digital cameras had eclipsed traditional film in popularity.

Digital ink and paint was also invented in the late 1980s. Disney's CAPS system (created 1988) was used for a scene in 1989's The Little Mermaid and for all their animation films between 1990's The Rescuers Down Under and 2004's Home on the Range.

1989–2005: Invention of the World Wide Web, mainstreaming of the Internet, Web 1.0

[edit]

Tim Berners-Lee invented the World Wide Web in 1989.[34] The "Web 1.0 era" ended in 2005, coinciding with the development of further advanced technologies during the start of the 21st century.[35]

The first public digital HDTV broadcast was of the 1990 World Cup that June; it was played in 10 theaters in Spain and Italy. However, HDTV did not become a standard until the mid-2000s outside Japan.

The World Wide Web became publicly accessible in 1991, which had been available only to government and universities.[36] In 1993 Marc Andreessen and Eric Bina introduced Mosaic, the first web browser capable of displaying inline images[37] and the basis for later browsers such as Netscape Navigator and Internet Explorer. Stanford Federal Credit Union was the first financial institution to offer online internet banking services to all of its members in October 1994.[38] In 1996 OP Financial Group, also a cooperative bank, became the second online bank in the world and the first in Europe.[39] The Internet expanded quickly, and by 1996, it was part of mass culture and many businesses listed websites in their ads.[citation needed] By 1999, almost every country had a connection, and nearly half of Americans and people in several other countries used the Internet on a regular basis.[citation needed] However throughout the 1990s, "getting online" entailed complicated configuration, and dial-up was the only connection type affordable by individual users; the present day mass Internet culture was not possible.

In 1989, about 15% of all households in the United States owned a personal computer.[40] For households with children, nearly 30% owned a computer in 1989, and in 2000, 65% owned one.

Cell phones became as ubiquitous as computers by the early 2000s, with movie theaters beginning to show ads telling people to silence their phones. They also became much more advanced than phones of the 1990s, most of which only took calls or at most allowed for the playing of simple games.

Text messaging became widely used in the late 1990s worldwide, except for in the United States of America where text messaging didn't become commonplace till the early 2000s.[citation needed]

The digital revolution became truly global in this time as well – after revolutionizing society in the developed world in the 1990s, the digital revolution spread to the masses in the developing world in the 2000s.

By 2000, a majority of U.S. households had at least one personal computer and internet access the following year.[41] In 2002, a majority of U.S. survey respondents reported having a mobile phone.[42]

2005–present: Web 2.0, social media, smartphones, digital TV

[edit]

In late 2005 the population of the Internet reached 1 billion,[43] and 3 billion people worldwide used cell phones by the end of the decade. HDTV became the standard television broadcasting format in many countries by the end of the decade. In September and December 2006 respectively, Luxembourg and the Netherlands became the first countries to completely transition from analog to digital television. In September 2007, a majority of U.S. survey respondents reported having broadband internet at home.[44] According to estimates from the Nielsen Media Research, approximately 45.7 million U.S. households in 2006 (or approximately 40 percent of approximately 114.4 million) owned a dedicated home video game console,[45][46] and by 2015, 51 percent of U.S. households owned a dedicated home video game console according to an Entertainment Software Association annual industry report.[47][48] By 2012, over 2 billion people used the Internet, twice the number using it in 2007. Cloud computing had entered the mainstream by the early 2010s. In January 2013, a majority of U.S. survey respondents reported owning a smartphone.[49] By 2016, half of the world's population was connected[50] and as of 2020, that number has risen to 67%.[51]

Rise in digital technology use of computers

[edit]

In the late 1980s, less than 1% of the world's technologically stored information was in digital format, while it was 94% in 2007, with more than 99% by 2014.[52]

It is estimated that the world's capacity to store information has increased from 2.6 (optimally compressed) exabytes in 1986, to some 5,000 exabytes in 2014 (5 zettabytes).[52][53]

Number of cell phone subscribers and internet users
Year Cell phone subscribers (% of world pop.) Internet users (% of world pop.)
1990 12.5 million (0.25%)[54] 2.8 million (0.05%)[55]
2002 1.5 billion (19%)[55] 631 million (11%)[55]
2010 4 billion (68%)[56] 1.8 billion (26.6%)[50]
2020 4.78 billion (62%)[57] 4.54 billion (59%)[58]
2023 6.31 billion (78%)[59] 5.4 billion (67%)[60]


Overview of early developments

[edit]
A timeline of major milestones of the Information Age, from the first message sent by the Internet protocol suite to global Internet access

Library expansion and Moore's law

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A university computer lab containing many desktop PCs

Library expansion was calculated in 1945 by Fremont Rider to double in capacity every 16 years where sufficient space made available.[61] He advocated replacing bulky, decaying printed works with miniaturized microform analog photographs, which could be duplicated on-demand for library patrons and other institutions.

Rider did not foresee, however, the digital technology that would follow decades later to replace analog microform with digital imaging, storage, and transmission media, whereby vast increases in the rapidity of information growth would be made possible through automated, potentially-lossless digital technologies. Accordingly, Moore's law, formulated around 1965, would calculate that the number of transistors in a dense integrated circuit doubles approximately every two years.[62][63]

By the early 1980s, along with improvements in computing power, the proliferation of the smaller and less expensive personal computers allowed for immediate access to information and the ability to share and store it. Connectivity between computers within organizations enabled access to greater amounts of information.[citation needed]

Information storage and Kryder's law

[edit]
Hilbert & López (2011). The World's Technological Capacity to Store, Communicate, and Compute Information. Science, 332(6025), 60–65.[64]

The world's technological capacity to store information grew from 2.6 (optimally compressed) exabytes (EB) in 1986 to 15.8 EB in 1993; over 54.5 EB in 2000; and to 295 (optimally compressed) EB in 2007.[52][65] This is the informational equivalent to less than one 730-megabyte (MB) CD-ROM per person in 1986 (539 MB per person); roughly four CD-ROM per person in 1993; twelve CD-ROM per person in the year 2000; and almost sixty-one CD-ROM per person in 2007.[52] It is estimated that the world's capacity to store information has reached 5 zettabytes in 2014,[53] the informational equivalent of 4,500 stacks of printed books from the earth to the sun.[citation needed]

The amount of digital data stored appears to be growing approximately exponentially, reminiscent of Moore's law. As such, Kryder's law prescribes that the amount of storage space available appears to be growing approximately exponentially.[66][67][68][63]

Information transmission

[edit]

The world's technological capacity to receive information through one-way broadcast networks was 432 exabytes of (optimally compressed) information in 1986; 715 (optimally compressed) exabytes in 1993; 1.2 (optimally compressed) zettabytes in 2000; and 1.9 zettabytes in 2007, the information equivalent of 174 newspapers per person per day.[52]

The world's effective capacity to exchange information through two-way Telecommunications networks was 281 petabytes of (optimally compressed) information in 1986; 471 petabytes in 1993; 2.2 (optimally compressed) exabytes in 2000; and 65 (optimally compressed) exabytes in 2007, the information equivalent of six newspapers per person per day.[52] In the 1990s, the spread of the Internet caused a sudden leap in access to and ability to share information in businesses and homes globally. A computer that cost $3000 in 1997 would cost $2000 two years later and $1000 the following year, due to the rapid advancement of technology.[citation needed]

Computation

[edit]

The world's technological capacity to compute information with human-guided general-purpose computers grew from 3.0 × 108 MIPS in 1986, to 4.4 × 109 MIPS in 1993; to 2.9 × 1011 MIPS in 2000; to 6.4 × 1012 MIPS in 2007.[52] An article featured in the journal Trends in Ecology and Evolution in 2016 reported that:[53]

Digital technology has vastly exceeded the cognitive capacity of any single human being and has done so a decade earlier than predicted. In terms of capacity, there are two measures of importance: the number of operations a system can perform and the amount of information that can be stored. The number of synaptic operations per second in a human brain has been estimated to lie between 1015 and 1017. While this number is impressive, even in 2007 humanity's general-purpose computers were capable of performing well over 1018 instructions per second. Estimates suggest that the storage capacity of an individual human brain is about 1012 bytes. On a per capita basis, this is matched by current digital storage (5×1021 bytes per 7.2×109 people).

Genetic information

[edit]

Genetic code may also be considered part of the information revolution. Now that sequencing has been computerized, genome can be rendered and manipulated as data. This started with DNA sequencing, invented by Walter Gilbert and Allan Maxam[69] in 1976–1977 and Frederick Sanger in 1977, grew steadily with the Human Genome Project, initially conceived by Gilbert and finally, the practical applications of sequencing, such as gene testing, after the discovery by Myriad Genetics of the BRCA1 breast cancer gene mutation. Sequence data in GenBank has grown from the 606 genome sequences registered in December 1982 to the 231 million genomes in August 2021. An additional 13 trillion incomplete sequences are registered in the Whole Genome Shotgun submission database as of August 2021. The information contained in these registered sequences has doubled every 18 months.[70][original research?]

Different stage conceptualizations

[edit]

During rare times in human history, there have been periods of innovation that have transformed human life. The Neolithic Age, the Scientific Age and the Industrial Age all, ultimately, induced discontinuous and irreversible changes in the economic, social and cultural elements of the daily life of most people. Traditionally, these epochs have taken place over hundreds, or in the case of the Neolithic Revolution, thousands of years, whereas the Information Age swept to all parts of the globe in just a few years, as a result of the rapidly advancing speed of information exchange.

Between 7,000 and 10,000 years ago during the Neolithic period, humans began to domesticate animals, began to farm grains and to replace stone tools with ones made of metal. These innovations allowed nomadic hunter-gatherers to settle down. Villages formed along the Yangtze River in China in 6,500 B.C., the Nile River region of Africa and in Mesopotamia (Iraq) in 6,000 B.C. Cities emerged between 6,000 B.C. and 3,500 B.C. The development of written communication (cuneiform in Sumeria and hieroglyphs in Egypt in 3,500 B.C. and writing in Egypt in 2,560 B.C. and in Minoa and China around 1,450 B.C.) enabled ideas to be preserved for extended periods to spread extensively. In all, Neolithic developments, augmented by writing as an information tool, laid the groundwork for the advent of civilization.

The Scientific Age began in the period between Galileo's 1543 proof that the planets orbit the Sun and Newton's publication of the laws of motion and gravity in Principia in 1697. This age of discovery continued through the 18th century, accelerated by widespread use of the moveable type printing press by Johannes Gutenberg.

The Industrial Age began in Great Britain in 1760 and continued into the mid-19th century. The invention of machines such as the mechanical textile weaver by Edmund Cartwrite, the rotating shaft steam engine by James Watt and the cotton gin by Eli Whitney, along with processes for mass manufacturing, came to serve the needs of a growing global population. The Industrial Age harnessed steam and waterpower to reduce the dependence on animal and human physical labor as the primary means of production. Thus, the core of the Industrial Revolution was the generation and distribution of energy from coal and water to produce steam and, later in the 20th century, electricity.

The Information Age also requires electricity to power the global networks of computers that process and store data. However, what dramatically accelerated the pace of The Information Age's adoption, as compared to previous ones, was the speed by which knowledge could be transferred and pervaded the entire human family in a few short decades. This acceleration came about with the adoptions of a new form of power. Beginning in 1972, engineers devised ways to harness light to convey data through fiber optic cable. Today, light-based optical networking systems at the heart of telecom networks and the Internet span the globe and carry most of the information traffic to and from users and data storage systems.

Three stages of the Information Age

There are different conceptualizations of the Information Age. Some focus on the evolution of information over the ages, distinguishing between the Primary Information Age and the Secondary Information Age. Information in the Primary Information Age was handled by newspapers, radio and television. The Secondary Information Age was developed by the Internet, satellite televisions and mobile phones. The Tertiary Information Age was emerged by media of the Primary Information Age interconnected with media of the Secondary Information Age as presently experienced.[71][72][73][74][75]

Stages of development expressed as Kondratiev waves

Others classify it in terms of the well-established Schumpeterian long waves or Kondratiev waves. Here authors distinguish three different long-term metaparadigms, each with different long waves. The first focused on the transformation of material, including stone, bronze, and iron. The second, often referred to as Industrial Revolution, was dedicated to the transformation of energy, including water, steam, electric, and combustion power. Finally, the most recent metaparadigm aims at transforming information. It started out with the proliferation of communication and stored data and has now entered the age of algorithms, which aims at creating automated processes to convert the existing information into actionable knowledge.[76]

Information in social and economic activities

[edit]

The main feature of the information revolution is the growing economic, social and technological role of information.[77] Information-related activities did not come up with the Information Revolution. They existed, in one form or the other, in all human societies, and eventually developed into institutions, such as the Platonic Academy, Aristotle's Peripatetic school in the Lyceum, the Musaeum and the Library of Alexandria, or the schools of Babylonian astronomy. The Agricultural Revolution and the Industrial Revolution came up when new informational inputs were produced by individual innovators, or by scientific and technical institutions. During the Information Revolution all these activities are experiencing continuous growth, while other information-oriented activities are emerging.

Information is the central theme of several new sciences, which emerged in the 1940s, including Shannon's (1949) Information Theory[78] and Wiener's (1948) Cybernetics. Wiener stated: "information is information not matter or energy". This aphorism suggests that information should be considered along with matter and energy as the third constituent part of the Universe; information is carried by matter or by energy.[79] By the 1990s some writers believed that changes implied by the Information revolution will lead to not only a fiscal crisis for governments but also the disintegration of all "large structures".[80]

The theory of information revolution

[edit]

The term information revolution may relate to, or contrast with, such widely used terms as Industrial Revolution and Agricultural Revolution. Note, however, that you may prefer mentalist to materialist paradigm. The following fundamental aspects of the theory of information revolution can be given:[81][82]

  1. The object of economic activities can be conceptualized according to the fundamental distinction between matter, energy, and information. These apply both to the object of each economic activity, as well as within each economic activity or enterprise. For instance, an industry may process matter (e.g. iron) using energy and information (production and process technologies, management, etc.).
  2. Information is a factor of production (along with capital, labor, land (economics)), as well as a product sold in the market, that is, a commercial good by itself. As such, it acquires use value and exchange value, and therefore a price.
  3. All products have use value, exchange value, and informational value. The latter can be measured by the information content of the product, in terms of innovation, design, etc.
  4. Industries develop information-generating activities, the so-called Research and Development (R&D) functions.
  5. Enterprises, and society at large, develop the information control and processing functions, in the form of management structures; these are also called "white-collar workers", "bureaucracy", "managerial functions", etc.
  6. Labor can be classified according to the object of labor, into information labor and non-information labor.
  7. Information activities constitute a large, new economic sector, the information sector along with the traditional primary sector, secondary sector, and tertiary sector, according to the three-sector hypothesis. These should be restated because they are based on the ambiguous definitions made by Colin Clark (1940), who included in the tertiary sector all activities that have not been included in the primary (agriculture, forestry, etc.) and secondary (manufacturing) sectors.[83] The quaternary sector and the quinary sector of the economy attempt to classify these new activities, but their definitions are not based on a clear conceptual scheme, although the latter is considered by some as equivalent with the information sector.
  8. From a strategic point of view, sectors can be defined as information sector, means of production, means of consumption, thus extending the classical Ricardo-Marx model of the Capitalist mode of production (see Influences on Karl Marx). Marx stressed in many occasions the role of the "intellectual element" in production, but failed to find a place for it into his model.[84][85]
  9. Innovations are the result of the production of new information, as new products, new methods of production, patents, etc. Diffusion of innovations manifests saturation effects (related term: market saturation), following certain cyclical patterns and creating "economic waves", also referred to as "business cycles". There are various types of waves, such as Kondratiev wave (54 years), Kuznets swing (18 years), Juglar cycle (9 years) and Kitchin (about 4 years, see also Joseph Schumpeter) distinguished by their nature, duration, and, thus, economic impact.
  10. Diffusion of innovations causes structural-sectoral shifts in the economy, which can be smooth or can create crisis and renewal, a process which Joseph Schumpeter called vividly "creative destruction".

From a different perspective, Irving E. Fang (1997) identified six 'Information Revolutions': writing, printing, mass media, entertainment, the 'tool shed' (which we call 'home' now), and the information highway. In this work the term 'information revolution' is used in a narrow sense, to describe trends in communication media.[86]

Measuring and modeling the information revolution

[edit]

Porat (1976) measured the information sector in the US using the input-output analysis; OECD has included statistics on the information sector in the economic reports of its member countries.[87] Veneris (1984, 1990) explored the theoretical, economic and regional aspects of the informational revolution and developed a systems dynamics simulation computer model.[81][82]

These works can be seen as following the path originated with the work of Fritz Machlup who in his (1962) book "The Production and Distribution of Knowledge in the United States", claimed that the "knowledge industry represented 29% of the US gross national product", which he saw as evidence that the Information Age had begun. He defines knowledge as a commodity and attempts to measure the magnitude of the production and distribution of this commodity within a modern economy. Machlup divided information use into three classes: instrumental, intellectual, and pastime knowledge. He identified also five types of knowledge: practical knowledge; intellectual knowledge, that is, general culture and the satisfying of intellectual curiosity; pastime knowledge, that is, knowledge satisfying non-intellectual curiosity or the desire for light entertainment and emotional stimulation; spiritual or religious knowledge; unwanted knowledge, accidentally acquired and aimlessly retained.[88]

More recent estimates have reached the following results:[52]

  • the world's technological capacity to receive information through one-way broadcast networks grew at a sustained compound annual growth rate of 7% between 1986 and 2007;
  • the world's technological capacity to store information grew at a sustained compound annual growth rate of 25% between 1986 and 2007;
  • the world's effective capacity to exchange information through two-way telecommunications networks grew at a sustained compound annual growth rate of 30% during the same two decades;
  • the world's technological capacity to compute information with the help of humanly guided general-purpose computers grew at a sustained compound annual growth rate of 61% during the same period.[89]

Economics

[edit]

Eventually, Information and communication technology (ICT)—i.e. computers, computerized machinery, fiber optics, communication satellites, the Internet, and other ICT tools—became a significant part of the world economy, as the development of optical networking and microcomputers greatly changed many businesses and industries.[90][91] Nicholas Negroponte captured the essence of these changes in his 1995 book, Being Digital, in which he discusses the similarities and differences between products made of atoms and products made of bits.[92]

Jobs and income distribution

[edit]

The Information Age has affected the workforce in several ways, such as compelling workers to compete in a global job market. One of the most evident concerns is the replacement of human labor by computers that can do their jobs faster and more effectively, thus creating a situation in which individuals who perform tasks that can easily be automated are forced to find employment where their labor is not as disposable.[93] This especially creates issue for those in industrial cities, where solutions typically involve lowering working time, which is often highly resisted. Thus, individuals who lose their jobs may be pressed to move up into more indispensable professions (e.g. engineers, doctors, lawyers, teachers, professors, scientists, executives, journalists, consultants), who are able to compete successfully in the world market and receive (relatively) high wages.[citation needed]

Along with automation, jobs traditionally associated with the middle class (e.g. assembly line, data processing, management, and supervision) have also begun to disappear as result of outsourcing.[94] Unable to compete with those in developing countries, production and service workers in post-industrial (i.e. developed) societies either lose their jobs through outsourcing, accept wage cuts, or settle for low-skill, low-wage service jobs.[94] In the past, the economic fate of individuals would be tied to that of their nation's. For example, workers in the United States were once well paid in comparison to those in other countries. With the advent of the Information Age and improvements in communication, this is no longer the case, as workers must now compete in a global job market, whereby wages are less dependent on the success or failure of individual economies.[94]

In effectuating a globalized workforce, the internet has just as well allowed for increased opportunity in developing countries, making it possible for workers in such places to provide in-person services, therefore competing directly with their counterparts in other nations. This competitive advantage translates into increased opportunities and higher wages.[95]

Automation, productivity, and job gain

[edit]

The Information Age has affected the workforce in that automation and computerization have resulted in higher productivity coupled with net job loss in manufacturing. In the United States, for example, from January 1972 to August 2010, the number of people employed in manufacturing jobs fell from 17,500,000 to 11,500,000 while manufacturing value rose 270%.[96] Although it initially appeared that job loss in the industrial sector might be partially offset by the rapid growth of jobs in information technology, the recession of March 2001 foreshadowed a sharp drop in the number of jobs in the sector. This pattern of decrease in jobs would continue until 2003,[97] and data has shown that, overall, technology creates more jobs than it destroys even in the short run.[98]

Information-intensive industry

[edit]

Industry has become more information-intensive while less labor- and capital-intensive. This has left important implications for the workforce, as workers have become increasingly productive as the value of their labor decreases. For the system of capitalism itself, the value of labor decreases, the value of capital increases.

In the classical model, investments in human and financial capital are important predictors of the performance of a new venture.[99] However, as demonstrated by Mark Zuckerberg and Facebook, it now seems possible for a group of relatively inexperienced people with limited capital to succeed on a large scale.[100]

Innovations

[edit]
A visualization of the various routes through a portion of the Internet

Revolutions in digital technology created the Information Age. These revolutions built on the developments of the Technological Revolution.

Transistors

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The onset of the Information Age can be associated with the development of transistor technology.[2] The concept of a field-effect transistor was first theorized by Julius Edgar Lilienfeld in 1925.[101] The first practical transistor was the point-contact transistor, invented by the engineers Walter Houser Brattain and John Bardeen while working for William Shockley at Bell Labs in 1947. This was a breakthrough that laid the foundations for modern technology.[2] Shockley's research team also invented the bipolar junction transistor in 1952.[102][101] The most widely used type of transistor is the metal–oxide–semiconductor field-effect transistor (MOSFET), invented by Mohamed M. Atalla and Dawon Kahng at Bell Labs in 1960.[103] The complementary MOS (CMOS) fabrication process was developed by Frank Wanlass and Chih-Tang Sah in 1963.[104]

Computers

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Before the advent of electronics, mechanical computers, like the Analytical Engine in 1837, were designed to provide routine mathematical calculation and simple decision-making capabilities. Military needs during World War II drove development of the first electronic computers, based on vacuum tubes, including the Z3, the Atanasoff–Berry Computer, Colossus computer, and ENIAC.

The invention of the transistor enabled the era of mainframe computers (1950s–1970s), typified by the IBM 360. These large, room-sized computers provided data calculation and manipulation that was much faster than humanly possible, but were expensive to buy and maintain, so were initially limited to a few scientific institutions, large corporations, and government agencies.

The germanium integrated circuit (IC) was invented by Jack Kilby at Texas Instruments in 1958.[105] The silicon integrated circuit was then invented in 1959 by Robert Noyce at Fairchild Semiconductor, using the planar process developed by Jean Hoerni, who was in turn building on Mohamed Atalla's silicon surface passivation method developed at Bell Labs in 1957.[106][107] Following the invention of the MOS transistor by Mohamed Atalla and Dawon Kahng at Bell Labs in 1959,[103] the MOS integrated circuit was developed by Fred Heiman and Steven Hofstein at RCA in 1962.[108] The silicon-gate MOS IC was later developed by Federico Faggin at Fairchild Semiconductor in 1968.[109] With the advent of the MOS transistor and the MOS IC, transistor technology rapidly improved, and the ratio of computing power to size increased dramatically, giving direct access to computers to ever smaller groups of people.

The first commercial single-chip microprocessor launched in 1971, the Intel 4004, which was developed by Federico Faggin using his silicon-gate MOS IC technology, along with Marcian Hoff, Masatoshi Shima and Stan Mazor.[110][111]

Along with electronic arcade machines and home video game consoles pioneered by Nolan Bushnell in the 1970s, the development of personal computers like the Commodore PET and Apple II (both in 1977) gave individuals access to computers. However, data sharing between individual computers was either non-existent or largely manual, at first using punched cards and magnetic tape, and later floppy disks.

Data

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The first developments for storing data were initially based on photographs, starting with microphotography in 1851 and then microform in the 1920s, with the ability to store documents on film, making them much more compact. Early information theory and Hamming codes were developed about 1950, but awaited technical innovations in data transmission and storage to be put to full use.

Magnetic-core memory was developed from the research of Frederick W. Viehe in 1947 and An Wang at Harvard University in 1949.[112][113] With the advent of the MOS transistor, MOS semiconductor memory was developed by John Schmidt at Fairchild Semiconductor in 1964.[114][115] In 1967, Dawon Kahng and Simon Sze at Bell Labs described in 1967 how the floating gate of an MOS semiconductor device could be used for the cell of a reprogrammable ROM.[116] Following the invention of flash memory by Fujio Masuoka at Toshiba in 1980,[117][118] Toshiba commercialized NAND flash memory in 1987.[119][116]

Copper wire cables transmitting digital data connected computer terminals and peripherals to mainframes, and special message-sharing systems leading to email, were first developed in the 1960s. Independent computer-to-computer networking began with ARPANET in 1969. This expanded to become the Internet (coined in 1974). Access to the Internet improved with the invention of the World Wide Web in 1991. The capacity expansion from dense wave division multiplexing, optical amplification and optical networking in the mid-1990s led to record data transfer rates. By 2018, optical networks routinely delivered 30.4 terabits/s over a fiber optic pair, the data equivalent of 1.2 million simultaneous 4K HD video streams.[120]

MOSFET scaling, the rapid miniaturization of MOSFETs at a rate predicted by Moore's law,[121] led to computers becoming smaller and more powerful, to the point where they could be carried. During the 1980s–1990s, laptops were developed as a form of portable computer, and personal digital assistants (PDAs) could be used while standing or walking. Pagers, widely used by the 1980s, were largely replaced by mobile phones beginning in the late 1990s, providing mobile networking features to some computers. Now commonplace, this technology is extended to digital cameras and other wearable devices. Starting in the late 1990s, tablets and then smartphones combined and extended these abilities of computing, mobility, and information sharing. Metal–oxide–semiconductor (MOS) image sensors, which first began appearing in the late 1960s, led to the transition from analog to digital imaging, and from analog to digital cameras, during the 1980s–1990s. The most common image sensors are the charge-coupled device (CCD) sensor and the CMOS (complementary MOS) active-pixel sensor (CMOS sensor).

Electronic paper, which has origins in the 1970s, allows digital information to appear as paper documents.

Personal computers

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By 1976, there were several firms racing to introduce the first truly successful commercial personal computers. Three machines, the Apple II, Commodore PET 2001 and TRS-80 were all released in 1977,[122] becoming the most popular by late 1978.[123] Byte magazine later referred to Commodore, Apple, and Tandy as the "1977 Trinity".[124] Also in 1977, Sord Computer Corporation released the Sord M200 Smart Home Computer in Japan.[125]

Apple II

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April 1977: Apple II.

Steve Wozniak (known as "Woz"), a regular visitor to Homebrew Computer Club meetings, designed the single-board Apple I computer and first demonstrated it there. With specifications in hand and an order for 100 machines at US$500 each from the Byte Shop, Woz and his friend Steve Jobs founded Apple Computer.

About 200 of the machines sold before the company announced the Apple II as a complete computer. It had color graphics, a full QWERTY keyboard, and internal slots for expansion, which were mounted in a high quality streamlined plastic case. The monitor and I/O devices were sold separately. The original Apple II operating system was only the built-in BASIC interpreter contained in ROM. Apple DOS was added to support the diskette drive; the last version was "Apple DOS 3.3".

Its higher price and lack of floating point BASIC, along with a lack of retail distribution sites, caused it to lag in sales behind the other Trinity machines until 1979, when it surpassed the PET. It was again pushed into 4th place when Atari, Inc. introduced its Atari 8-bit computers.[126]

Despite slow initial sales, the lifetime of the Apple II was about eight years longer than other machines, and so accumulated the highest total sales. By 1985, 2.1 million had sold and more than 4 million Apple II's were shipped by the end of its production in 1993.[127]

Optical networking

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Optical communication plays a crucial role in communication networks. Optical communication provides the transmission backbone for the telecommunications and computer networks that underlie the Internet, the foundation for the Digital Revolution and Information Age.

The two core technologies are the optical fiber and light amplification (the optical amplifier). In 1953, Bram van Heel demonstrated image transmission through bundles of optical fibers with a transparent cladding. The same year, Harold Hopkins and Narinder Singh Kapany at Imperial College succeeded in making image-transmitting bundles with over 10,000 optical fibers, and subsequently achieved image transmission through a 75 cm long bundle which combined several thousand fibers.

Gordon Gould invented the optical amplifier and the laser, and also established the first optical telecommunications company, Optelecom, to design communication systems. The firm was a co-founder in Ciena Corp., the venture that popularized the optical amplifier with the introduction of the first dense wave division multiplexing system.[128] This massive scale communication technology has emerged as the common basis of all telecommunications networks.[129][failed verification] and, thus, a foundation of the Information Age.[130][131]

Economy, society, and culture

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Manuel Castells authored The Information Age: Economy, Society and Culture. He writes of our global interdependence and the new relationships between economy, state and society, what he calls "a new society-in-the-making." He writes:

It is in fact, quite the opposite: history is just beginning, if by history we understand the moment when, after millennia of a prehistoric battle with Nature, first to survive, then to conquer it, our species has reached the level of knowledge and social organization that will allow us to live in a predominantly social world. It is the beginning of a new existence, and indeed the beginning of a new age, The Information Age, marked by the autonomy of culture vis-à-vis the material basis of our existence.[132]

Thomas Chatterton Williams wrote about the dangers of anti-intellectualism in the Information Age in a piece for The Atlantic. Although access to information has never been greater, most information is irrelevant or insubstantial. The Information Age's emphasis on speed over expertise contributes to "superficial culture in which even the elite will openly disparage as pointless our main repositories for the very best that has been thought."[133]

See also

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Footnotes

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The Information Age, also known as the Digital Age or Third Industrial Revolution, is a historical period that began in the mid-20th century and continues into the present, defined by the exponential growth and pervasive integration of information and communication technologies (ICTs) that have shifted societies from industrial manufacturing to knowledge-based economies driven by , digital networks, and instantaneous global connectivity. This era traces its roots to early 19th-century innovations in communication, such as Samuel Morse's telegraph in the 1830s and 1840s, which laid the groundwork for faster information exchange, but it accelerated dramatically after World War II with the invention of the transistor in 1947, enabling the development of compact electronic devices. Key milestones include the U.S. Department of Defense's ARPANET project in the late 1960s, which evolved into the modern internet, and Tim Berners-Lee's proposal of the World Wide Web at CERN in 1990, followed by the release of the Mosaic web browser in 1993 that popularized graphical browsing and spurred the growth to over 50,000 web servers by 1995. By the late 1980s and 1990s, the proliferation of personal computers—reaching 50% household penetration in the United States by 1999—and advancements in software and telecommunications marked the transition to a fully networked society. At its core, the Information Age is characterized by rapid , including silicon-based semiconductors that increased memory capacity from 10,000 bits in 1978 to 10 million bits by 1993, fiber-optic cables capable of transmitting over 1 billion bits per second, and satellite systems like Syncom III in 1964 that enabled real-time global communication. Computational power has grown by nine orders of magnitude since 1950, with storage density doubling approximately every 12 months, drastically reducing costs and enabling widespread access to vast amounts of through devices like cellular phones, whose U.S. subscribers surged from 7.5 million in 1991 to 33.8 million by 1995. These developments have fostered a knowledge-intensive global where surpasses traditional factors like labor and capital as the primary driver of production, abundance, and , while also introducing challenges such as , digital divides, and the need for constant adaptation to complexity and change. The societal and economic impacts of the Information Age are profound, transforming industries through , , and networked models that in the mid-1990s contributed 5-15% to U.S. and accounted for 40% of industrial capital spending. It has revolutionized communication via inventions like the , radio, television, and , enabling instantaneous global interactions that reshape institutions, , and , while promoting through multinational networks and regional blocs like the and NAFTA. Post-2000 developments, such as smartphones, , and , have further accelerated these transformations into the 2020s. However, these advances have also exacerbated inequalities, with uneven adoption marginalizing developing regions and creating spatial disparities in access to technology, alongside emerging concerns over , , and the ethical use of information in areas like military operations and democratic processes.

Definition and Characteristics

Defining the Information Age

The Information Age, also known as the Digital Age or Knowledge Age, refers to the historical period that began in the mid-20th century, roughly from the late , and continues into the present, characterized by the rapid creation, distribution, and manipulation of information through electronic technologies as the dominant force in economic and . This era marks a profound shift where information and knowledge become the primary drivers of productivity and innovation, surpassing traditional physical resources in economic value. Unlike earlier periods, it emphasizes the processing and leveraging of via computers and networks, transforming how societies function and compete globally. A key timeline marker of the Information Age is the transition from industrial production—centered on tangible goods—to knowledge-based economies, where emerges as the core for generation and . This evolution gained momentum in the with the advent of foundational technologies and accelerated through the 1970s as personal and became widespread, reorienting economies toward intellectual and informational assets. The period reflects a broader societal pivot, with knowledge-intensive activities technical and rapid cycles. In contrast to preceding eras, the Agricultural Age was defined by agrarian dominance, where economies revolved around farming, manual labor, and land-based production as the main sources of sustenance and wealth. The subsequent shifted focus to machine-based , of physical goods, and mechanized labor, powering economic expansion through tangible outputs and systems. The Information Age distinguishes itself by prioritizing intangible assets like data, software, and , fostering a paradigm where value derives from the efficient handling and application of information rather than material transformation. Central to this era is the digital revolution, which has enabled unprecedented global information flows by facilitating instantaneous, scalable, and borderless exchange of through interconnected digital networks. This revolution, rooted in electronic innovations, has democratized access to , accelerating and cultural exchange on a worldwide scale.

Core Features and Distinctions from Prior Eras

The Information Age is marked by the ubiquity of digital devices, which have proliferated to provide constant access to information. By , over half of the global population owned smartphones, enabling mobile use that surpasses traditional desktop computing in reach, with median ownership rates of 76% in advanced economies and 45% in emerging ones. This trend extends to the (IoT), with connected devices reaching 21.1 billion globally in 2025, reflecting a 14% year-over-year growth and embedding computing into everyday objects like wearables and smart appliances. Such proliferation has transformed information access from episodic to always-on, integrating digital interfaces into personal, professional, and environmental contexts. Central to this era is the commodification of information, where data supplants physical resources as the primary driver of economic value, ushering in the "." Coined by in his 1969 book The Age of Discontinuity, this concept describes a shift toward economies reliant on , innovation, and information processing rather than manual labor or raw materials. In practice, this manifests in sectors like and data analytics, where intangible assets—such as algorithms and datasets—generate wealth through and low marginal costs, contrasting with earlier eras' focus on tangible production. Global connectivity further defines the period, facilitating real-time information exchange across borders via networks and digital platforms. Digital technologies now connect nearly half the world's population through social media and broadband, enabling instantaneous sharing of knowledge and resources that accelerates globalization. This interconnectedness supports phenomena like collaborative research and e-commerce, where data flows in real time, fostering a borderless exchange of ideas and reducing traditional barriers to information dissemination. Exponential growth patterns underpin these features, exemplified by , which observes that the number of transistors on integrated circuits doubles approximately every two years, exponentially increasing computing power while reducing costs. Originally articulated by in 1965, this trend predicted sustained complexity in chip design, leading to dramatic declines in hardware prices—such as storage costs dropping by factors of millions since the mid-20th century—and enabling the scalability of digital technologies. In distinction from prior eras like the Industrial Age, the Information Age prioritizes immaterial innovation over mechanization, emphasizing software, data, and network effects rather than physical machinery and mass production. While the Industrial Age (circa 1760–1914) centered on tangible mechanization—such as steam engines and assembly lines that standardized output for efficiency—the current era drives progress through intangible assets like algorithms and digital platforms, which enable rapid iteration and global dissemination without physical constraints. This shift results in accelerated obsolescence, where innovations like cloud computing supplant hardware-centric models, fostering a dynamic economy of ideas over enduring physical infrastructure. Unlike the Industrial Age's predictable, uniform factories, the Information Age thrives on fluidity, with knowledge as a public good that evolves through networked collaboration.

Historical Development

Foundations in Early Computing

The foundations of the Information Age trace back to 19th-century mechanical innovations that mechanized calculation and , paving the way for automated . Charles Babbage's design of the in the 1830s represented a seminal step, envisioning a programmable machine capable of performing complex arithmetic operations through s for input and control, though it was never fully built due to technological limitations of the era. This concept built on earlier mechanical calculators, such as those by and in the , but Babbage's engine introduced conditional branching and looping, foreshadowing modern programming. Similarly, Herman Hollerith's system in the 1890s automated data tabulation for the U.S. Census, enabling efficient sorting and counting of large datasets and forming the basis for early in business and government. In the late 19th and early 20th centuries, advancements in communication technologies complemented these computational precursors by facilitating the rapid transmission of information across distances, shifting societies toward interconnected information flows. The telegraph, invented by in 1837, allowed near-instantaneous electrical signaling over wires, revolutionizing global news dissemination and commerce by the 1860s. , patented by in 1876, further extended this by enabling voice-based information exchange, which by the early 1900s supported vast networks for personal and organizational coordination, underscoring the growing reliance on electrical systems for non-local communication. These inventions highlighted the potential of to manipulate and convey symbolic , bridging analog signaling with emerging computational ideas. Theoretical underpinnings for digital computation emerged in the , providing the abstract framework for machines that could process information algorithmically. Alan Turing's 1936 paper "On Computable Numbers" introduced the , a hypothetical device that formalized the concept of by simulating any through a read-write head on an infinite tape, establishing the limits of what machines could solve and influencing all subsequent computer design. This work, alongside contributions from and , resolved key questions in and set the stage for programmable systems. World War II accelerated practical implementations, with electronic machines developed for and driving the transition from mechanical and analog to digital computation in the 1940s. The Colossus, built by in 1943 at , was the world's first programmable electronic computer, using 1,500 vacuum tubes to break German Enigma codes by processing encrypted teleprinter signals at high speeds. Following this, the ENIAC (Electronic Numerical Integrator and Computer), completed in 1945 by John Presper Eckert and John Mauchly at the , became the first general-purpose electronic digital computer, programmable via switches and cables for artillery calculations and employing 18,000 vacuum tubes to perform 5,000 additions per second. These WWII-era machines marked a pivotal shift, as vacuum tubes enabled reliable electronic switching for binary logic, replacing slower mechanical relays and analog devices, though their fragility and power demands limited scalability until later innovations like the in 1947.

Mid-20th Century Origins

The mid-20th century origins of the Information Age are rooted in the post-World War II era, particularly from 1947 to 1969, when breakthroughs in electronic computing transitioned from vacuum tube-based systems to more reliable and scalable technologies. A pivotal invention occurred on December 23, 1947, at Bell Laboratories, where physicists and Walter Brattain, under William Shockley's direction, demonstrated the first using as a material. This device amplified electrical signals without the heat and size limitations of vacuum tubes, enabling the development of smaller, more efficient electronic systems essential for modern computing. The transistor's commercialization began in 1948, laying the groundwork for the of computers and the broader . The mainframe era emerged in the early , driven by the need for high-speed data processing in government and business applications. The , developed by , with a contract signed by the U.S. Census Bureau on March 31, 1951, became the first commercially available electronic digital computer and was delivered and dedicated on June 14, 1951. Weighing 16,000 pounds and using over 5,000 vacuum tubes, it processed census data at speeds up to 1,000 calculations per second, marking a shift from mechanical tabulators to programmable electronic systems. quickly established dominance in business during the and , introducing transistor-based systems like the in 1959, which by the mid-1960s accounted for over half of the world's installed computers due to its punched-card compatibility and cost-effectiveness for data processing tasks. 's System/360 family, announced in 1964, further solidified this position by offering compatible architectures across a range of models, standardizing business computing hardware. Advancements in programming languages paralleled hardware progress, facilitating broader adoption of computing for specialized domains. In 1957, IBM's team led by released the first compiler for the , designed to simplify scientific and engineering calculations through English-like syntax for formulas and loops. This high-level language reduced programming time for complex numerical simulations, becoming a staple for scientific computing. For business applications, emerged in 1959 through the Conference on Data Systems Languages (), influenced by Grace Hopper's , to create a standardized, readable language for manipulation and reporting across diverse hardware. Networking foundations took shape in the amid U.S. Department of Defense initiatives to build resilient communication systems. Paul Baran's 1964 RAND Corporation report, "On Distributed Communications Networks," proposed packet-switching, where data is divided into small, independently routed blocks to survive network disruptions like nuclear attacks. This concept, funded by the , influenced early efforts toward what would become . Key geopolitical events accelerated these developments; the Soviet Union's launch of on October 4, 1957, prompted the U.S. to boost technology investments via the of 1958, funneling resources into for the space race's demands in guidance systems and simulations. The ensuing drove institutional growth in computing research and infrastructure.

Expansion of Personal Computing and Networking

The expansion of personal computing and networking from 1969 to 1989 marked a pivotal shift toward democratizing access to computational power and connectivity, moving beyond institutional mainframes to individual users and broader academic networks. This era began with the launch of , the precursor to the modern , which established the first packet-switched network connection on October 29, 1969, between the (UCLA) and the Stanford Research Institute, enabling remote data exchange over telephone lines. ARPANET's architecture evolved significantly in 1974 when Vinton Cerf and Robert Kahn developed the Transmission Control Protocol/ (TCP/IP), a foundational suite that standardized data transmission across diverse networks, allowing for reliable, end-to-end communication without centralized control. These advancements laid the groundwork for scalable internet infrastructure, emphasizing and resilience in data routing. The rise of personal computers accelerated this democratization, starting with the in 1975, the first commercially successful microcomputer kit powered by the microprocessor, which sold over 10,000 units and inspired hobbyists to build their own systems for under $400. Building on this momentum, and co-founded Apple Computer in 1976 and released the , a fully assembled circuit board that users could connect to a keyboard and monitor, followed by the in 1977, which featured color graphics, expandability, and a user-friendly that sold hundreds of thousands of units and brought into homes and small businesses. Concurrently, software ecosystems emerged to make these machines practical; and founded in 1975 to develop , an interpreter that simplified programming for non-experts and became a cornerstone of personal by enabling easy software creation and distribution. A landmark application was , released in 1979 by and Bob Frankston, the first electronic spreadsheet that automated calculations and data analysis, often credited as the "killer app" that justified personal computer purchases for business users. Networking milestones further connected these isolated devices into collaborative systems. In 1983, invented the (DNS) at the University of Southern California's Information Sciences Institute, replacing numeric IP addresses with human-readable names like "," which streamlined resource location and supported the internet's growth to thousands of hosts. By 1985, the (NSF) launched NSFNET, a high-speed backbone initially operating at 56 kilobits per second to link centers and academic institutions across the , expanding ARPANET's reach and fostering nationwide . Key figures like Jobs, who envisioned intuitive interfaces for mass adoption; Gates, who prioritized accessible software; and , whose early 1980s ideas at on hypertext-linked information systems presaged global data sharing, drove these innovations toward a more interconnected digital landscape.

Web Era and Digital Mainstreaming

The invention of the World Wide Web (WWW) marked a pivotal shift in the Information Age, enabling the seamless sharing of hypertext-linked information across the internet. In March 1989, British computer scientist Tim Berners-Lee, while working at CERN, proposed a system for managing scientific information through interconnected documents, formalized in a document titled "Information Management: A Proposal." This evolved into a second proposal in May 1990, which outlined the core architecture including Hypertext Markup Language (HTML) for structuring content, Hypertext Transfer Protocol (HTTP) for data transfer, and Uniform Resource Locators (URLs) for identifying resources. The first website, info.cern.ch, went live on August 6, 1991, providing an overview of the WWW project and instructions for its use, initially accessible only within CERN's network. The era of Web 1.0, roughly spanning the mid-1990s to early 2000s, characterized the web as a static, read-only medium dominated by informational pages and early commercial applications. Websites primarily delivered fixed content without user interaction, fostering the growth of platforms that revolutionized retail. Amazon, founded by on July 5, 1994, as an online bookstore, began selling books over the internet in 1995, capitalizing on the web's potential for sales. Similarly, , launched in September 1995 by as AuctionWeb, introduced online auctions, enabling trading of goods. This boom fueled the from 1995 to 2000, where internet startup valuations soared amid speculative investments, peaking with the NASDAQ Composite Index reaching 5,048.62 on March 10, 2000, before crashing sharply in 2001, wiping out trillions in market value and leading to widespread bankruptcies. Broadband internet's adoption in the late accelerated the web's integration into everyday life, transitioning from the limitations of dial-up connections to faster, always-on access. Dial-up, reliant on telephone lines and offering speeds up to 56 kbps, dominated until (DSL) and services emerged commercially around 1996-1997, providing download speeds of 256 kbps to several Mbps by the early . In the U.S., household penetration rose from negligible levels in 1998 to about 50% by 2005, enabling richer web experiences like streaming and downloads. Precursors to mobile also appeared, with the (WAP), released in 1999 by the WAP Forum, allowing basic web access on cell phones through simplified markup for low-bandwidth devices. The shift toward during this period transformed content consumption and discovery, with innovations in and search challenging traditional distribution models. , launched in June 1999 by , pioneered (P2P) , allowing users to exchange music files directly, which peaked at over 80 million registered users by 2001 and disrupted the music industry despite legal shutdown in 2001. Complementing this, , founded in September 1998 by and , introduced an advanced using the algorithm to index and rank web pages by relevance, rapidly becoming the dominant tool for navigating the expanding web with billions of queries processed annually by the early . Global internet access grew exponentially from approximately 16 million users in 1995 to over 1 billion by 2005, driven by falling costs, infrastructure expansions, and the web's accessibility. This surge, representing a exceeding 40%, reflected the web's mainstreaming in developed nations and initial penetration in emerging markets, laying the groundwork for broader digital inclusion.

Post-2005 Advancements

The advent of marked a shift toward interactive and user-driven experiences, with the term popularized at the first Web 2.0 Conference in 2004 by and Dale Dougherty. Although platforms like emerged in 2001, the surge in user-generated content accelerated post-2005, enabling widespread collaboration and sharing. Key examples include , officially launched on December 15, 2005, which quickly became a hub for video uploads and views, reaching 25 million daily video views by January 2006. Similarly, , founded in 2004 but initially limited to college networks, expanded rapidly after opening to high school students in 2005 and the general public in 2006, growing from one million to over 12 million users by year's end. The rise of smartphones further propelled mobile internet accessibility and the app ecosystem. Apple's , unveiled on January 9, 2007, integrated web browsing, multimedia, and touch interfaces, redefining by emphasizing software sophistication and user interaction. This paved the way for the app economy, as the iPhone launched in 2008, fostering developer innovation and generating billions in revenue. Google's Android platform, introduced in 2008 with the open-source release and the first device () on October 22, democratized smartphone development through its permissive licensing, leading to diverse hardware and over 3 billion active devices by the . The app economy subsequently exploded, with global revenues surpassing $400 billion annually by 2023, driven by , gaming, and services. Cloud computing emerged as a foundational infrastructure shift, enabling scalable data processing. Amazon Web Services (AWS) launched in 2006 with Amazon S3 for storage and EC2 for computing, allowing on-demand resources without physical hardware ownership. Concurrently, the Hadoop framework, initiated in January 2006 as an Apache subproject by Doug Cutting at Yahoo, provided open-source tools for distributed big data storage and processing via HDFS and MapReduce, influencing modern analytics. From 2019 onward, advancements accelerated with networks, AI integration, and emerging paradigms. Commercial rollouts began in 2019, starting with South Korea's nationwide launch in April, enhancing speeds up to 20 Gbps and low latency for IoT and streaming. OpenAI's , released on November 30, 2022, exemplified generative AI's mainstream adoption, powering conversational interfaces and reaching 100 million users within two months. Metaverse concepts gained prominence in 2021 when rebranded to Meta, announcing investments in interconnected virtual spaces for social and economic activities. Quantum computing prototypes advanced steadily, with achieving 433-qubit systems by 2022 and error-corrected logical qubits demonstrated in 2023, with further advancements including 's Nighthawk processor in 2025 featuring enhanced qubit connectivity, though scalable fault-tolerant machines remain in development toward 2029. These innovations contributed to narrowing the , with penetration reaching approximately 73% of the world's population—over 6 billion users—as of October 2025, up from 60% in 2020, reflecting improved access in developing regions.

Technological Innovations

Hardware Advancements

The development of hardware in the Information Age began with the invention of the at in 1947 by John Bardeen, Walter Brattain, and , which replaced bulky vacuum tubes and enabled more compact, reliable electronic devices. This breakthrough laid the groundwork for miniaturization in computing. In 1958, at demonstrated the first (IC), a monolithic device containing multiple s, resistors, and capacitors on a single chip, while at independently developed a similar planar IC shortly thereafter. By the 1970s, very-large-scale integration (VLSI) emerged, allowing millions of s on a single chip through advances in and design methodologies pioneered by researchers like at Caltech. Gordon Moore's 1965 observation, known as , predicted that the number of transistors on an IC would double approximately every year (later revised to every two years), driving exponential improvements in performance while reducing costs. This law, articulated in Moore's article "Cramming More Components onto Integrated Circuits" in Electronics magazine, profoundly impacted the Information Age by making computing accessible; for instance, mainframe computers costing around $1 million in the 1960s evolved into personal systems under $1,000 by the 2000s due to these density gains. Microprocessors represented a pivotal hardware milestone, with Intel introducing the 4004 in 1971 as the first commercially available single-chip CPU, containing 2,300 transistors and designed initially for calculators but adaptable for general computing. This innovation centralized processing power, enabling the rise of personal computers. By the 2000s, processors evolved to multi-core architectures to sustain performance gains amid physical limits on clock speeds; Intel's Pentium D in 2005 introduced dual-core processing for desktops, allowing parallel execution of tasks and improving efficiency for multitasking applications. Storage hardware advanced alongside processing, with IBM's 305 RAMAC system in 1956 introducing the first commercial , offering 5 MB of capacity using 50 spinning platters. Solid-state drives (SSDs) emerged commercially in the , with SanDisk releasing the first flash-based SSD in 1991, providing faster access and greater durability than mechanical drives. These developments followed Kryder's Law, formulated by Mark Kryder, which posits that areal storage density doubles roughly every 13 months, dramatically increasing data capacity and affordability. Mobile hardware progressed from portable computers in the 1980s, exemplified by the Osborne 1 in 1981—the first mass-produced weighing 24 pounds and including bundled software for $1,795—to advanced wearables in the . Apple's Watch, launched in April 2015, integrated processors, sensors, and displays into a wrist-worn device, enabling health monitoring and notifications while building on decades of .

Networking and Communication Technologies

The evolution of networking and communication technologies in the Information Age has been marked by innovations that enable efficient, scalable information transmission across global distances. A foundational concept was , introduced by in his 1964 RAND Corporation report "On Distributed Communications Networks," which proposed breaking into small packets for independent through distributed networks to enhance reliability and survivability against failures. This idea laid the groundwork for modern data networks by shifting from circuit-switched systems to more flexible, resource-efficient alternatives. Building on , the , developed by Vinton Cerf and Robert Kahn, emerged as the core of communication. Their 1974 paper, "A Protocol for Packet Network Intercommunication," described Transmission Control Protocol (TCP) for reliable end-to-end delivery and for addressing and routing, enabling the interconnection of diverse packet-switched networks into a unified system. Adopted widely from the late , standardized reliable data transmission, powering the growth of the from experimental connections to a global infrastructure. Optical networking revolutionized high-capacity transmission through optic cables, which use light signals to carry data over long distances with minimal loss. In 1970, scientists at Corning Glass Works—Robert Maurer, Donald Keck, and Peter Schultz—developed the first low-loss , achieving attenuation below 20 dB/km at 630 nm wavelength, making practical feasible. By the 1990s, Dense Wavelength Division Multiplexing (DWDM) advanced this further, allowing multiple wavelengths of light to traverse a single simultaneously; early systems in the mid-1990s supported 4 to 8 channels with 100-200 GHz spacing, scaling bandwidth from gigabits to terabits per second and fueling the internet's explosive data growth. Wireless advancements complemented wired networks by enabling mobility and ubiquitous access. The standard, ratified in 1997, defined the physical and media access layers for local area networks (WLANs), operating in the 2.4 GHz band at speeds up to 2 Mbps and establishing the basis for as a short-range, high-speed alternative to Ethernet. In cellular technology, third-generation () systems under ITU's IMT-2000 framework launched commercially in 2001, with NTT DoCoMo's W-CDMA service in providing data rates up to 2 Mbps for mobile internet and . This progressed to fifth-generation () networks, standardized by in 2018 and rolled out globally from 2019, incorporating millimeter-wave (mmWave) above 24 GHz to achieve peak speeds exceeding 10 Gbps, low latency under 1 ms, and support for massive device connectivity in dense environments; by Q1 2025, global connections reached 2.4 billion. The internet's underlying infrastructure relies on backbone networks and Internet Exchange Points (IXPs) to manage global traffic flow. Tier-1 backbone providers, such as and Level 3 (now part of ), operate high-capacity fiber routes spanning continents, handling the majority of long-haul data transit since the commercial privatization of NSFNET in 1995. IXPs, evolving from the 1990s Network Access Points (NAPs), facilitate direct between autonomous systems, reducing latency and costs; by the early , major IXPs like AMS-IX and exchanged terabits of traffic daily, promoting efficient interconnection without centralized bottlenecks. Addressing , was standardized in RFC 2460 in 1998, expanding the address space to 128 bits for approximately 3.4 × 10^38 unique addresses; adoption accelerated post-2010, reaching over 40% global traffic by 2023 and approximately 45% as of October 2025, driven by mobile and IoT demands. Satellite and edge computing extensions have extended coverage to remote areas, enhancing global inclusivity. SpaceX's Starlink constellation, with its first 60 satellites launched in May 2019, deploys low-Earth orbit (LEO) satellites at around 550 km altitude to deliver broadband internet with latencies under 100 ms and speeds up to 220 Mbps, targeting underserved regions and complementing terrestrial networks; as of May 2025, the constellation includes over 7,600 satellites. By integrating edge processing at ground stations, Starlink reduces data round-trip times, supporting real-time applications in the expanding Information Age ecosystem.

Data Management and Storage

The evolution of data storage technologies has enabled the handling of exponentially increasing volumes of information during the Information Age. In the 1950s, magnetic tape emerged as a foundational medium for mass storage, with IBM's 726 tape drive, introduced in 1952, providing up to 2 million characters of capacity on a 1,200-foot reel, revolutionizing archival and backup processes for early computers. By the 1980s, the advent of Redundant Arrays of Inexpensive Disks (RAID), proposed in a seminal 1988 paper by David A. Patterson, Garth Gibson, and Randy H. Katz at UC Berkeley, introduced fault-tolerant configurations using multiple low-cost disks to improve performance and reliability over single large drives. The shift to solid-state drives (SSDs) based on flash memory accelerated in the 2000s, with capacities exceeding 1 TB becoming standard by the early 2010s, as exemplified by Samsung's 2013 release of the first 1 TB mSATA SSD using 3D V-NAND technology, offering faster access times and greater durability than mechanical hard drives. This progression in storage density is encapsulated by Kryder's Law, formulated by Seagate executive Mark Kryder in 2005, which observes that the areal density of —bits per square inch—doubles approximately every 13 months, outpacing for transistors. Initially demonstrated from the 1956 drive's 2,000 bits per square inch to over 100 billion bits per square inch by 2005, this law has driven storage capacities from megabytes in early systems to petabytes in modern data centers, though growth has slowed since the mid-2010s due to physical limits in magnetic recording. Database systems have paralleled these storage advances by providing structured mechanisms for data organization and retrieval. The , introduced by E. F. Codd in his 1970 IBM paper "A Relational Model of Data for Large Shared Data Banks," formalized data as tables with rows and columns linked by keys, enabling declarative queries independent of physical storage details and reducing redundancy. Building on this, Structured (SQL) was developed in 1974 by and at as part of the System R prototype, offering a standardized syntax for querying relational databases that became the industry norm. In the , NoSQL databases arose to address the limitations of relational systems for unstructured or semi-structured , with document-oriented systems like , launched in 2009, allowing flexible schemas and horizontal scaling for applications such as . The explosion of necessitated distributed storage frameworks, exemplified by , released in 2006 by based on and Mike Cafarella's earlier work, which uses the Hadoop Distributed File System (HDFS) to store petabyte-scale across commodity clusters with via replication. Complementary paradigms include data lakes, which store raw, diverse in its native format for later processing, contrasting with traditional data warehouses that hold cleaned, structured optimized for analytics and reporting, as defined in industry analyses emphasizing scalability for exploratory versus prescriptive use cases. Emerging frontiers in storage explore biological media, with DNA data storage prototypes demonstrating ultra-high density in the 2010s. and the encoded over 200 MB of digital files—including videos and documents—into synthetic DNA strands in 2016, achieving 1.2 petabytes per gram of DNA through error-correcting codes and enzymatic synthesis, far surpassing in longevity and compactness for archival purposes.

Software and Computational Paradigms

The Information Age has been profoundly shaped by advancements in software that enable efficient information processing, from foundational operating systems supporting multitasking to sophisticated algorithms and paradigms that underpin modern . These developments have transitioned from rigid, single-task environments to dynamic, scalable systems capable of handling vast data flows, fostering innovations in and distributed architectures. Key paradigms emphasize , portability, and collaboration, allowing software to adapt to evolving hardware and user needs while respecting fundamental limits of . Operating systems emerged as critical software layers for managing resources and enabling multitasking, which allows multiple processes to run concurrently, improving efficiency in information handling. UNIX, developed in 1969 at by and , introduced a modular, multi-user written primarily in , facilitating portability across hardware and supporting multitasking through mechanisms. This system influenced subsequent OS designs by prioritizing simplicity and extensibility, enabling developers to build tools for data processing and networking. Microsoft Windows 1.0, released in 1985, built on to provide a with basic multitasking capabilities, allowing users to switch between applications like and , thus democratizing access to personal computing for information tasks. Linux, initiated in 1991 by as a free, open kernel inspired by UNIX, further advanced multitasking with its monolithic yet modular structure, supporting and real-time extensions for high-throughput data operations. Algorithms and paradigms have revolutionized how software processes and retrieves information, with search algorithms and models at the forefront. The algorithm, introduced in 1998 by and , models web pages as a graph where link structures determine importance via iterative eigenvector computation, enabling efficient ranking of vast information repositories and powering early search engines. In the 2010s, the revival of neural networks marked a in , driven by architectures that layer multiple hidden units to learn hierarchical representations from data, achieving breakthroughs in and through and large-scale training. Cloud computing and virtualization paradigms have decoupled software execution from physical hardware, promoting scalability and on-demand information services. , launched in 1999, pioneered by emulating multiple operating environments on a single host via hardware-assisted techniques, allowing isolated execution of tasks for testing and resource optimization. Concurrently, (SaaS) models emerged with in 1999, delivering tools over the without local installation, shifting paradigms toward subscription-based, multi-tenant architectures that process user data in real-time across distributed servers. The open-source movement has underpinned collaborative software development, accelerating innovation in computational paradigms. The GNU Project, announced in 1983 by , aimed to create a complete Unix-compatible operating system composed of components under the GNU General Public License, fostering community-driven contributions that emphasize user freedoms and reusability in information tools. Despite these advances, computational paradigms are bounded by theoretical limits, as articulated in the Church-Turing thesis, formulated independently by in 1936 and in 1936, which posits that any effectively computable function can be computed by a , establishing the equivalence of major computational models. In the Information Age, this thesis informs applications like , where undecidability results—such as the —demonstrate that no general algorithm can determine whether arbitrary programs terminate, complicating automated testing and reliability checks in complex systems.

Economic Transformations

Productivity Gains and Automation

The advent of in the Information Age has fundamentally enhanced economic productivity by streamlining processes and reducing human error across industries. The trajectory began with hardware innovations, such as the , the first patented by and deployed at a in 1961 to handle die-casting tasks, thereby increasing manufacturing output and safety. This marked the shift from manual labor to programmable machinery, laying the groundwork for broader . By the 2010s, extended into software domains with (RPA), which uses bots to mimic human interactions with digital systems for repetitive tasks like data entry and compliance checks, enabling enterprises to process transactions 24/7 and achieve efficiency gains of 25-50% in back-office operations. These developments resolved the "" highlighted by economist in 1987, who observed that despite widespread computer adoption, productivity metrics showed little improvement. Following 1995, as internet infrastructure and software matured, (IT) investments began delivering substantial returns; in countries, ICT capital contributed 0.3 to 0.8 percentage points to annual GDP growth from 1995 to 2001, with similar patterns in developed economies reflecting accelerated of digital tools. In the United States, IT advancements drove (TFP) growth, accounting for roughly 0.5 to 1 percent annually between 1995 and 2005, primarily through innovations in computing hardware and software that amplified output per unit of input. Illustrative examples underscore these gains. (ERP) systems, pioneered by in 1972 with its initial financial software and achieving widespread adoption in the 1990s via the client-server-based R/3 platform, integrated supply chains, inventory, and finance, resulting in operational efficiency improvements of 15 to 30 percent for implementing firms by reducing process redundancies. In manufacturing, AI-enabled collaborative robots (cobots), first commercialized by Universal Robots in 2008 and surging in deployment during the 2010s, allow safe human-robot teamwork on assembly lines, enhancing throughput by up to 20 percent in tasks like welding and picking while minimizing downtime. Such technologies have also generated new employment in IT services, including roles in and AI maintenance, which have expanded to support enhancements and contribute to overall economic expansion. Recent advancements in generative AI have further boosted , with estimates suggesting contributions of 0.1-0.6% to annual GDP growth in major economies as of 2024.

Shifts in Employment and Income

The advent of information technologies has significantly displaced routine-based employment, particularly in and clerical sectors, as tools replaced predictable tasks. Studies indicate that in countries, the share of routine occupations declined between 1980 and 2020, with middle-skill jobs in these areas experiencing the most substantial reductions due to computerization and software advancements. For instance, in , routine roles such as clerks and machine operators declined between 1993 and 2010 due to . This displacement has been compounded by the rise of the , exemplified by platforms like , founded in 2009, which created flexible but often precarious work opportunities for millions, reaching over 6 million active earners globally as of 2024. Skill-biased technological change has simultaneously boosted demand for high-skill roles, widening the labor market divide. This phenomenon, driven by the proliferation of and networking technologies, increased the relative demand for workers with advanced digital skills, such as programmers and software engineers. , median salaries for software engineers roughly doubled from around $50,000 in 1990 to over $100,000 by 2010, adjusted for , reflecting heightened competition for specialized talent. This shift has favored educated professionals in IT, while low-skill routine workers faced wage stagnation or decline. These dynamics have exacerbated income inequality, particularly in technology-driven economies. The U.S. for income inequality rose from 0.37 in 1980 to 0.41 in 2020, with sharper increases in tech hubs like due to concentrated high earnings among a small elite. Winner-take-all markets in the have amplified this trend, where dominant firms and top performers capture disproportionate rewards, leading to greater wealth concentration and inter-firm wage disparities. To mitigate these shifts, reskilling initiatives have gained prominence, emphasizing in the digital era. Massive Open Online Courses (MOOCs), which surged in the , have enabled millions to acquire IT-relevant skills, with over 220 million global enrollments by 2021 supporting career transitions and upskilling. The further accelerated , surging from about 5% of full workdays pre-2020 to 20% post-pandemic across countries, creating new opportunities for flexible employment but also highlighting the need for . Globally, of IT services to countries like and has reshaped employment patterns, fueling (BPO) growth in the 2000s. In , BPO employment expanded rapidly from 42,000 jobs in 1999-2000 to approximately 300,000 by 2003-04, driven by cost advantages and skilled labor pools, which displaced some domestic roles in developed nations while generating millions of new positions abroad. Similar trends in contributed to the global redistribution of IT and clerical work, underscoring the uneven benefits of information age .

Emergence of Information-Driven Industries

The emergence of information-driven industries marked a pivotal shift in the global economy, with the tech sector's growth epitomized by the model. Originating in the 1950s through foundational innovations like the establishment of in 1956, which spurred the industry and attracted talent to the region, Silicon Valley evolved into a hub for electronics and computing by the 1970s. The model's explosive boom arrived in the 1990s during the dot-com era, fueled by and internet startups, transforming it into a blueprint for innovation ecosystems worldwide. This growth propelled the rise of FAANG companies—Meta, Apple, Amazon, , and ()—which dominated the tech landscape; for instance, Alphabet achieved a exceeding $1 trillion in January 2020, underscoring their economic influence. Digital services further defined these industries, with and streaming platforms reshaping consumer access to goods and entertainment. Global retail sales reached approximately $6.3 trillion in 2024, driven by platforms that leveraged infrastructure for seamless transactions. , founded in 1997 as a DVD rental service, pivoted to streaming in 2007 and achieved dominance in the as subscriber numbers surged past DVD rentals by 2010, establishing on-demand video as a core pillar. Platform economies emerged as a cornerstone, characterized by two-sided markets that connect distinct user groups and amplify value through network effects. , launched in 2008, exemplifies this by linking hosts and travelers in a where the platform's utility grows exponentially with participant numbers on both sides. Such models, including those in social platforms, rely on these effects to scale rapidly, creating self-reinforcing ecosystems that underpin the information-driven economy. Intellectual property and became key assets, fueling industry expansion. The 1980s saw a surge in software patents following USPTO policy shifts and court decisions like Diamond v. Diehr (1981), which expanded eligibility for software-related inventions, increasing their share from about 2% of total patents in the early 1980s to nearly 15% by the early 2000s. , particularly through , generated substantial revenue, with global digital ad spending reaching approximately $740 billion in 2024, much of it derived from personalized ads powered by user data analytics. Global shifts highlighted the information economy's internationalization, notably China's tech ascent. Alibaba, founded in 1999 by , pioneered in and expanded into a multifaceted digital conglomerate, mirroring Silicon Valley's innovation dynamics on a massive scale. Huawei's rise in technology positioned it as a global leader by the , with extensive investments enabling to deploy more 5G base stations than the rest of the world combined by 2020 and driving national digital infrastructure advancements.

Social and Cultural Impacts

Changes in Communication and Media

The Information Age has profoundly reshaped communication and media landscapes by enabling instantaneous, global, and interactive exchanges that bypass traditional gatekeepers. shifted from analog letters and calls to digital platforms fostering real-time connectivity, while evolved from one-way to participatory ecosystems where users co-create content. These changes accelerated with the proliferation of broadband and mobile devices, democratizing but also introducing new dynamics in content consumption and . Early forms of online social interaction emerged in the 1990s through bulletin board systems (BBS) and newsgroups, which allowed users to post messages and engage in threaded discussions on shared servers, laying the groundwork for community-based networking. By the mid-2000s, these evolved into dedicated platforms; , launched in 2006, introduced with 140-character posts, enabling rapid information sharing and real-time public discourse. , founded in 2004, expanded this model by connecting users through profiles, friends lists, and news feeds, reaching a milestone of 1 billion monthly active users in 2012 and transforming personal networking into a scalable digital social fabric. Digital technologies disrupted traditional media industries, particularly print , as advertising revenue migrated to online channels. U.S. advertising revenue, which stood at approximately $48.7 billion in 2000, plummeted to about $9.6 billion by 2020, reflecting an over 80% decline driven by the shift to digital ads and classifieds on platforms like and . Concurrently, over-the-top (OTT) video services rose prominently; , launched in 2005, grew to over 2.5 billion monthly active users by 2023, offering on-demand video content that supplanted linear television and cable models. Instant messaging and voice-over-IP (VoIP) technologies further revolutionized personal communication by providing low-cost, text- and voice-based alternatives to traditional . The first short message service () text was sent on December 3, 1992, by engineer Neil Papworth via Vodafone's network, marking the birth of mobile texting which became ubiquitous in the following decades. , founded in 2009, exemplified this evolution by combining encrypted messaging, multimedia sharing, and group chats, amassing over 2 billion monthly active users by 2020. The in 2020 amplified VoIP adoption, with Zoom's daily meeting participants surging from 10 million in December 2019 to 300 million by April 2020, as and virtual socializing became essential. User-generated content (UGC) empowered individuals to produce and distribute media, eroding the monopoly of professional creators. Blogs proliferated in the 1990s, with the first recognized example being Justin Hall's Links.net in 1994, an online journal that inspired the weblog format for personal storytelling and commentary. This extended to video with vlogs, pioneered by Adam Kontras's upload in 2000, which gained traction on platforms like for authentic, narrative-driven content. The influencer economy, built on UGC, monetized these efforts through sponsorships and ads, reaching a global market value of $21.1 billion in 2023 and enabling creators to rival traditional media stars in reach and revenue. Amid these advancements, posed significant challenges, amplified by algorithms prioritizing engagement over veracity. Following the 2016 U.S. presidential election, studies revealed that stories spread via platforms like and reached up to 25% of users exposed to political content, often through algorithmic recommendations that favored and echo chambers. This proliferation, including coordinated bot networks and biased amplification, undermined and highlighted the need for platform in .

Effects on Education and Knowledge Dissemination

The advent of the Information Age has profoundly transformed by leveraging digital technologies to enhance , interactivity, and scalability of learning resources. Online learning platforms have democratized education, allowing learners worldwide to access high-quality content at minimal cost, often asynchronously and at their own pace. This shift has been driven by the proliferation of connectivity and affordable devices, enabling institutions and individuals to deliver courses that rival traditional experiences. Pioneering platforms such as , founded in 2008, provide free instructional videos and interactive exercises covering subjects from to history, reaching over 120 million learners annually and supplementing formal education in underserved areas. Similarly, , launched in 2012 by professors, partners with universities to offer massive open online courses (MOOCs), enrolling more than 100 million users by 2023 and granting verifiable certificates that boost employability. The edtech sector, encompassing these platforms, is projected to reach approximately $187 billion in market value by 2025, reflecting rapid adoption fueled by AI integration and post-pandemic demand. Open access initiatives have revolutionized knowledge dissemination by removing financial and geographical barriers to scholarly information. , established in 1991 by physicist at , serves as a repository for , , and related fields, hosting nearly 2.4 million articles and accelerating research sharing by allowing immediate public access before . , initiated in 2001 as a collaborative , exemplifies crowdsourced knowledge production, amassing over 6 million articles in English alone by 2023 through volunteer contributions, fostering global information equity despite ongoing debates on accuracy. These platforms have shifted toward immediacy and inclusivity, with arXiv influencing over 80% of citations in certain physics subfields. Digital libraries have further amplified this transformation by digitizing vast collections, making rare and historical texts searchable and preservable. Google Books, introduced in 2004, has scanned over 40 million volumes through partnerships with libraries, enabling full-text searches and previews that support research and casual discovery without physical access. JSTOR, originating in 1995 and expanding digitization efforts in the early 2000s, provides archived academic journals and books to over 10,000 institutions, with its corpus exceeding 12 million items by 2023, significantly reducing reliance on print while enhancing cross-disciplinary scholarship. These efforts have preserved cultural heritage and lowered costs, with studies showing a 20-30% increase in citation rates for digitized works. Personalized learning has emerged as a hallmark of Information Age , utilizing AI and data analytics to tailor content to individual needs and paces. , founded in 2011, employs algorithms to adapt language lessons based on user performance, serving over 500 million users and achieving retention rates comparable to university courses through gamified, bite-sized modules. Adaptive platforms, such as those integrating , analyze learner data to recommend resources, with research demonstrating 15-25% improvements in outcomes for diverse student groups by adjusting difficulty in real-time. This approach contrasts with one-size-fits-all models, empowering self-directed . In developing regions, these innovations promote global knowledge equity by extending via mobile devices, bridging urban-rural divides. Mobile learning initiatives have enabled over 1.5 billion students to access online resources during disruptions like the 2020 , as reported by , with apps and low-data platforms reaching and where traditional infrastructure lags. Programs leveraging and offline-capable tools have boosted literacy rates by up to 20% in low-income areas, underscoring the Information Age's role in inclusive dissemination.

Privacy, Ethics, and Societal Challenges

The proliferation of information technologies in the Information Age has intensified privacy concerns, particularly through widespread collection and breaches that expose personal information on a massive scale. A prominent example is the , which compromised the sensitive of approximately 147 million individuals, including Social Security numbers and credit histories, highlighting vulnerabilities in centralized systems. This incident underscored the risks of inadequate cybersecurity measures in consumer credit reporting agencies. Furthermore, the concept of surveillance capitalism, as articulated by , describes how digital platforms extract and monetize behavioral without explicit , transforming personal experiences into tradable commodities and eroding individual . In response to these privacy erosions, governments have enacted regulatory frameworks to protect user data and enforce accountability. The General Data Protection Regulation (GDPR), implemented by the in 2018, establishes stringent rules on data processing, requiring explicit consent and granting individuals rights to access, rectify, and delete their personal information, with fines up to 4% of global annual turnover for non-compliance. Similarly, the (CCPA), effective from 2018 and expanded by the 2020 , empowers California residents with rights to know what personal data companies collect and to of its sale, influencing privacy laws in other U.S. states. More recently, the European Union's AI Act, adopted in 2024 and entering into force in August 2024, introduces ethics guidelines for systems with phased implementation—general obligations apply immediately, while high-risk systems must comply by 2027—classifying AI applications by risk levels and mandating transparency, bias mitigation, and human oversight to address ethical concerns in automated decision-making. The remains a significant societal challenge, exacerbating inequalities as access to information technologies remains uneven globally. As of 2025, approximately 2.2 billion people—about 27% of the world's population—lacked , limiting their participation in the and access to like and healthcare. This divide is particularly pronounced in urban-rural gaps, where rural areas often suffer from inadequate , higher costs, and lower , perpetuating socioeconomic disparities between regions and demographics. Cyber threats have escalated alongside the expansion of networked systems, posing risks to individuals, organizations, and societies. Ransomware attacks, which encrypt data and demand payment for decryption, inflicted global damages estimated at $20 billion in 2021, with incidents targeting like hospitals and pipelines, demonstrating the disruptive potential of such threats. Additionally, the spread of through digital platforms has profound societal impacts, as evidenced by foreign interference in the 2020 U.S. presidential election, where campaigns on amplified divisions and undermined trust in democratic processes. Cultural shifts induced by constant connectivity have introduced ethical dilemmas related to and social cohesion. Device addiction, characterized by excessive , affects billions, with adults averaging about 7 hours per day in 2023, correlating with increased anxiety, disturbances, and reduced interpersonal interactions. Algorithmic echo chambers, where recommendation systems prioritize content aligning with users' existing views, further polarize societies by reinforcing biases and limiting exposure to diverse perspectives, as analyzed in studies on platform design. These challenges call for interdisciplinary approaches to balance technological benefits with safeguards for human well-being.

Theoretical and Analytical Frameworks

Conceptual Stages of the Information Revolution

The conceptual stages of the Information Revolution have been framed through various theoretical models that delineate the transition from industrial to information-based societies. One influential framework is Alvin Toffler's "Third Wave" theory, outlined in his book, which posits three successive waves of civilization: the First Wave as , the Second Wave as the industrial era characterized by and , and the Third Wave as the post-industrial information age driven by , , and customization. Toffler argued that the Third Wave, emerging in the late , would fundamentally restructure economies, , and social relations around information processing and rapid , marking a shift from mechanical to electronic and informational paradigms. Parallel to Toffler's model, the evolution of the provides a technological lens on these stages. Web 1.0, dominant in the , represented a static, read-only era of interconnected hypertext documents focused on information dissemination through simple websites and portals. This progressed to in the , an interactive phase emphasizing , social networking, and participatory platforms that fostered collaboration and multimedia sharing. By the , Web 3.0 emerged as a semantic and AI-driven stage, enabling intelligent , , and machine-readable content to create more interconnected and context-aware digital experiences. Manuel Castells' network society theory, introduced in his 1996 work The Rise of the Network Society, offers a sociological perspective on the Information Age, describing it as a mode of production called "informationalism" where networks of information flows dominate economic and social organization. Castells contrasts the "space of flows"—the dynamic, real-time circulation of information across global networks—with the "space of places," the localized, physical geographies of traditional societies, arguing that this shift reconfigures power relations and in a borderless, instantaneous world. Earlier conceptualizations include Daniel Bell's model from his 1973 book The Coming of Post-Industrial Society, which identifies theoretical knowledge as the axial principle organizing society, supplanting energy and goods production with services, innovation, and intellectual labor as central drivers. Bell envisioned a society where professionals and technicians form a new elite class, and policy decisions hinge on scientific and codifiable knowledge rather than manual skills or . Complementing this, Nicholas Negroponte's 1995 book Being Digital distinguishes between atoms (physical matter) and bits (digital information), predicting that the Information Age would prioritize the lightweight, borderless transmission of bits over the cumbersome movement of atoms, revolutionizing media, commerce, and daily interactions. These stage models have faced criticisms for oversimplifying historical transitions and assuming a universal, linear progression. Scholars note significant overlap between industrial and eras, where persists alongside digital economies, challenging the notion of a clean break from Second Wave structures as Toffler described. Additionally, the theories often neglect non-linear development paths in developing regions, where access to technologies lags due to infrastructural and economic barriers, leading to uneven global adoption rather than a synchronized . Recent extensions build on these foundations, with Web 3.0 conceptualized in the as a decentralized phase leveraging for user-owned data and interactions, shifting control from centralized platforms to distributed networks. In the 2020s, the has been theorized as an immersive extension, integrating and persistent digital worlds to blend physical and online experiences, potentially representing the next evolutionary layer of networked societies.

Measurement Models and Indicators

The measurement of progress in the Information Age relies on a combination of economic indicators, metrics, and specialized indices that capture the expansion of digital infrastructure, technology , and knowledge-based activities. These tools provide empirical grounding for assessing how information technologies contribute to societal and economic transformations, often adapting traditional frameworks to account for the unique characteristics of digital assets and data flows. Key indicators include the Digital Economy and Society Index (DESI), developed by the European Commission to evaluate the digital performance of EU member states across connectivity, human capital, digital public services, integration of digital technology, and digital skills. In its 2023 edition, DESI highlighted Finland as the top performer with a score of 70.0 out of 100, while the EU average stood at 52.3; as of the 2025 edition (using 2024 data), Finland scored 72.0 and the EU average reached 54.0, underscoring ongoing disparities in digital advancement within the region. Globally, internet penetration rates serve as a foundational metric, with the International Telecommunication Union (ITU) reporting that 67% of the world's population—approximately 5.4 billion people—were online by the end of 2023, up from 53% in 2019; by mid-2025, this rose to 69% or about 5.6 billion users, reflecting accelerated access in developing regions. Additionally, information technology (IT) spending as a percentage of gross domestic product (GDP) quantifies investment intensity; in the United States, this hovered between 4% and 5% during the early 2020s, driven by cloud computing and cybersecurity expenditures. Modeling approaches extend classical economic theories to incorporate information technologies. The Solow-Swan growth model, originally formulated in 1956, has been adapted to include IT capital as a distinct factor in production functions, where the share of IT assets in total capital stock is estimated to contribute 20-30% to output growth in advanced economies, as analyzed in studies by Dale Jorgenson and colleagues. Diffusion models, such as the S-curve framework popularized by Everett Rogers in his 1962 work on the , describe technology adoption patterns as logistic growth, starting slow, accelerating through network effects, and plateauing at maturity; this has been applied to predict the uptake of and mobile internet, with empirical fits showing inflection points around 20-30% . Information intensity is gauged through metrics like the proportion of knowledge-intensive jobs in the workforce, which reached approximately 42% in countries by 2020, encompassing roles in , , and R&D that rely heavily on information processing. filings in information and communication technologies (ICT) further indicate innovation vitality, with the (WIPO) recording approximately 120,000 international (PCT) applications in computer technology—a key ICT field—by 2023, representing about 33% of all filings under the (PCT) system. Measuring the Information Age faces significant challenges, particularly with intangibles such as software value, which often evade traditional balance sheets due to their non-rivalrous nature and rapid obsolescence, leading to underestimation of contributions estimated at 10-20% of GDP in knowledge economies according to analyses by the McKinsey Global Institute. The shadow economy of data—encompassing unregulated exchanges and informal digital markets—poses another hurdle, as it generates value outside formal accounting, with estimates suggesting trillions in unmeasured economic activity globally, as discussed in reports by the . Recent models address emerging dimensions of the Information Age. The Government AI Readiness Index, published by Oxford Insights in 2023, assesses 193 countries on their capacity to leverage through pillars like , skills, and , ranking the first with a score of 84.8 out of 100; the 2024 edition maintained this ranking with a score of 85.2. Sustainability metrics for the digital quantify environmental impacts, with the (IEA) estimating that data centers and networks accounted for 1-1.3% of global electricity use and 2-3% of in 2022, prompting frameworks like the Green Software Foundation's Software Carbon Intensity (SCI) specification to measure and mitigate per-transaction emissions.

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