If AI lifts off, will living standards follow?
https://www.ft.com/content/887531bf-646a-46b5-a821-649d3948a574
https://www.ft.com/content/887531bf-646a-46b5-a821-649d3948a574
Automation, AI, and the Intergenerational Transmission of Knowledge
https://arxiv.org/pdf/2507.16078
https://arxiv.org/pdf/2507.16078
Federal Reserve economists aren’t sold that AI will actually make workers more productive, saying it could be a one-off invention like the light bulb
https://fortune.com/2025/08/01/federal-reserve-economists-generative-ai-labor-market-productivity-light-bulb
Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope?
https://www.federalreserve.gov/econres/feds/files/2025053pap.pdf
Abstract
With the advent of generative AI (genAI), the potential scope of artificial intelligence has increased dramatically, but the future effect of genAI on productivity remains uncertain. The effect of the technology on the innovation process is a crucial open question. Some inventions, such as the light bulb, temporarily raise productivity growth as adoption spreads, but the effect fades when the market is saturated; that is, the level of output per hour is permanently higher but the growth rate is not. In contrast, two types of technologies stand out as having longer-lived effects on productivity growth. First, there are technologies known as general-purpose technologies (GPTs). GPTs (1) are widely adopted, (2) spur abundant knock-on innovations (new goods and services, process efficiencies, and business reorganization), and (3) show continual improvement, refreshing this innovation cycle; the electric dynamo is an example. Second, there are inventions of methods of invention (IMIs). IMIs increase the efficiency of the research and development process via improvements to observation, analysis, communication, or organization; the compound microscope is an example. We show that GenAI has the characteristics of both a GPT and an IMI—an encouraging sign that genAI will raise thelevel of productivity. Even so, genAI’s contribution to productivity growth will depend on the speed with which that level is attained and, historically, the process for integrating revolutionary technologies into the economy is a protracted one.
https://fortune.com/2025/08/01/federal-reserve-economists-generative-ai-labor-market-productivity-light-bulb
Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope?
https://www.federalreserve.gov/econres/feds/files/2025053pap.pdf
Abstract
With the advent of generative AI (genAI), the potential scope of artificial intelligence has increased dramatically, but the future effect of genAI on productivity remains uncertain. The effect of the technology on the innovation process is a crucial open question. Some inventions, such as the light bulb, temporarily raise productivity growth as adoption spreads, but the effect fades when the market is saturated; that is, the level of output per hour is permanently higher but the growth rate is not. In contrast, two types of technologies stand out as having longer-lived effects on productivity growth. First, there are technologies known as general-purpose technologies (GPTs). GPTs (1) are widely adopted, (2) spur abundant knock-on innovations (new goods and services, process efficiencies, and business reorganization), and (3) show continual improvement, refreshing this innovation cycle; the electric dynamo is an example. Second, there are inventions of methods of invention (IMIs). IMIs increase the efficiency of the research and development process via improvements to observation, analysis, communication, or organization; the compound microscope is an example. We show that GenAI has the characteristics of both a GPT and an IMI—an encouraging sign that genAI will raise thelevel of productivity. Even so, genAI’s contribution to productivity growth will depend on the speed with which that level is attained and, historically, the process for integrating revolutionary technologies into the economy is a protracted one.