Economists on the AI Economy: A Survey Snapshot

By NewSunSEO | July 13, 2026

A recent survey of several hundred economists reports broad uncertainty about how artificial intelligence will shape productivity, growth, and the labor market over the next ten years. Responses on AI-driven productivity gains and job displacement were widely dispersed, with no clear consensus on either outcome. The findings, summarized by Yahoo Finance, paint a picture of a profession working with incomplete signals and conflicting intuitions.

What the survey asked

Economists were asked to estimate the probability that generative AI and related tools would produce a set of outcomes, ranging from faster productivity growth to large-scale labor displacement, over horizons stretching out to a decade or more.

Where economists disagree

• Estimates from respondents on AI’s aggregate productivity growth varied widely and produced no consensus figure.
• Views diverged on whether AI would meaningfully raise the long-run trend rate of growth or leave it largely unchanged.
• Forecasts for both job losses and new roles varied widely.

Why uncertainty is high

Several factors help explain the dispersion. The technology itself is moving quickly, historical analogies (electrification, personal computing, the early internet) point in different directions, and the diffusion of AI tools across firms and tasks is still in its early stages. Survey respondents also flagged measurement issues: standard productivity statistics may not capture AI’s effects until they show up in output and earnings data, which typically lags adoption by months or years.

What the median respondent expects

The central tendency of the responses provided some useful information. Most respondents gave AI a meaningful but not overwhelming probability of producing a noticeable productivity uplift over the next ten years, and a non-trivial probability of significant labor market disruption. Respondents gave lower probabilities to scenarios such as a sustained jump in trend growth than to more modest effects, and treated neither outcome as certain.

What does the survey mean for policy and business?

For policymakers, the survey supports monitoring a broad set of indicators, including adoption rates, task-level employment shifts, and firm-level productivity, rather than relying on a single headline number. For companies deploying AI tools, the dispersion in expert opinion is itself a useful prompt to plan for multiple scenarios rather than betting on any one forecast.

What are the limits of the survey?

The poll captures perceptions at a single point in time, from a self-selected sample of respondents. As with any expert survey, the results reflect beliefs about the future rather than measured outcomes, and beliefs can shift as new evidence arrives. Readers should treat the numbers as a map of informed opinion, not as a prediction.

FAQ

What did the survey of economists find about AI and productivity?

Respondents disagreed on whether AI would raise the long-run growth rate, and no single estimate drew broad agreement. Some respondents said AI would raise the long-run trend rate of growth, while others said it would leave the rate unchanged.

What do economists expect AI to do to jobs?

Respondents reported a wide range of estimates for both job displacement and new role creation. Respondents generally gave meaningful odds to major labor market disruption but did not consider large-scale displacement a sure thing.

Why are economists so uncertain about AI’s economic impact?

Survey respondents cited a fast-moving technology, conflicting historical analogies such as electrification and the early internet, the early stage of AI diffusion across firms and tasks, and measurement issues that can delay the appearance of AI’s effects in standard productivity statistics.

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• Economists on the AI Economy: A Survey Snapshot