Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope?

TL;DR

This paper examines how generative AI could influence productivity, comparing it to historical innovations like the light bulb, dynamo, and microscope, and suggests it may act as both a general-purpose technology and a method of invention.

Contribution

It characterizes generative AI as both a general-purpose technology and a method of invention, highlighting its potential to elevate productivity levels and influence long-term growth.

Findings

GenAI has characteristics of both GPTs and IMIs.

The impact on productivity depends on adoption speed.

Historical integration of revolutionary tech is slow.

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 the \textit{level} of productivity. Even so, genAI's contribution to productivity \textit{growth} will depend on the speed with which that level is attained and, historically, integrating revolutionary technologies into the economy is a protracted process.