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Technologies that can affect an entire economy at large scale From Wikipedia, the free encyclopedia
General-purpose technologies (GPTs) are technologies that can affect an entire economy (usually at a national or global level).[1][2][3] GPTs have the potential to drastically alter societies through their impact on pre-existing economic and social structures. The archetypal examples of GPTs are the steam engine, electricity, and information technology. Other examples include the railroad, interchangeable parts, electronics, material handling, mechanization, control theory (automation), the automobile, the computer, the Internet, medicine, and artificial intelligence, in particular generative pre-trained transformers.
This article includes a list of general references, but it lacks sufficient corresponding inline citations. (March 2012) |
In economics, it is theorized that initial adoption of a new GPT within an economy may, before improving productivity, actually decrease it,[4] due to: time required for development of new infrastructure; learning costs; and, obsolescence of old technologies and skills. This can lead to a "productivity J-curve" as unmeasured intangible assets are built up and then harvested. [5] Impending timeframe to utilize the latent benefits of the new technology is deemed a trade-off. Spin-out firms/inventors from organizations that had developed GPTs play an important role in developing applications for GPTs. However, it has been observed that the level of cumulative innovation in GPTs diminishes as more spin-outs into application development occur.[6]
Economists Richard Lipsey and Kenneth Carlaw suggest that there have only been 24 technologies in history that can be classified as true GPTs.[7] They define a transforming GPT according to the four criteria listed below:
Since their book, more GPTs have been added for the 21st century.[by whom?]
A GPT can be a product, a process or an organisational system.
The earliest technologies mentioned by Lipsey and Carlaw occur before the Neolithic period and have not been cast as GPTs, however, they are innovations that the other 24 rely upon.
Classification | Date | |
---|---|---|
Spoken Language | process | Pre-10,000 BC |
Clothing | product | Pre-10,000 BC |
Mastery of fire | process | Pre-10,000 BC |
Coil pottery | product | Pre-10,000 BC |
Weapons (sharp-edged tools) | product | Pre-10,000 BC |
Steam engine increased labor productivity annually by 0.34%; IT by 0.6% (1995–2005); robotics by 0.36% (1993–2007).[8]
In his book, Is War Necessary for Economic Growth?: Military Procurement and Technology Development, Vernon W. Ruttan, Regents Professor Emeritus in the Department of Applied Economics at the University of Minnesota, examines the impact of military and defense-related procurement on U.S. technology development.[9] Ruttan identifies the development of six general-purpose technologies:
Based on his reading of the histories of these technologies, Ruttan finds that military and defense-related procurement has been a major source of technology development. He believes that the current technological landscape would look very different in the absence of military and defense-related contributions to commercial technology development. However, from his research, Ruttan determines that commercial technology development would have occurred in the absence of military procurement but more slowly, e.g., the aircraft, computer, and Internet industries. He cites nuclear power as an example of a general-purpose technology that would not have developed in the absence of military and defense-related procurement.
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