The Economics of Intelligence: How and when does AGI transform the economy?

Alex Imas, Andrew Koh, Shane Legg · DeepMind Institute · 29 Oct 2026

Where this sits in the debate

Will AI destroy more jobs than it creates?
Will AI widen inequality?
How fast will the impact arrive? · its finding: it depends (why studies differ)

Direction of the finding as read from the abstract by an AI model (AI-written).

Key takeaway AI-written

A DeepMind Institute essay arguing that AI's economic impact depends on two separate capability thresholds: individual competence, which shifts wages and prices gradually, and agent coordination, which past a tipping point could abruptly concentrate markets and cut wages. It sketches four regimes (minimal AGI, supercompetent, supercooperative, superintelligence) and argues that wages and job roles, not GDP or employment totals, will move first.

The paper in three steps AI-written

Written by an AI agent from the paper's abstract, which is the primary source and is quoted below.

The question

When does improving AI capability actually transform market structure, employment and wages, rather than just individual task performance?

The approach

A conceptual essay drawing on a formal economic model (the companion paper Organizing Intelligence) in which firms combine humans and AI agents; capability is split into competence and coordination, plus a 100-person quiz on how complementary pairings perform.

The findings

Competence gains shift wages and prices smoothly while firms stay small; coordination past a threshold makes larger firms more productive and causes abrupt jumps in concentration and wage drops in scalable markets. Complementary human pairs outperformed random pairs by 32%. Wage effects arrive before restructuring.

How to read it: theory. A theoretical model — its value is the mechanism it isolates; ask whether the assumptions fit the real economy.

Limitations and counterpoints AI-written

Essay-length summary of a theoretical model; the scenarios are not estimated from economic data, and the regimes depend on capability thresholds that current benchmarks do not measure.

Source excerpt

How do capability improvements transform the economy, and when? In this essay, we define thresholds of economic capabilities, e.g., minimal AGI, as a function of how they transform the economy. We then track how the economy (market structure, employment, and wages) changes during the transition across capability regimes. By examining how intelligence functions inside organizations, the answer to when the economy transforms depends on when two key capability thresholds are crossed. Competence: gains in individual skills like math, writing, or coding will smoothly shift wages, prices and the mix of humans and AI agents in a firm while leaving industry structure largely intact. Coordination: gains in the ability of agents to work together within a firm alter how organizations scale. Once coordination reaches a critical threshold, it triggers large, abrupt jumps in market concentration, employment, and wages. We term these regimes minimal AGI, supercompetent AI, supercooperative AI, and Artificial Super Intelligence (ASI). When participants are paired to complement each other to solve a specific task, they outperform random pairs by 32%. Because wage effects arrive before organizational restructuring, macro statistics of employment rates provide poor evidence that AI is not having an effect on the economy. Wages and job roles, not headline GDP or industry concentration, remain the earliest signals of change. The essay draws on the paper Organizing Intelligence, which presents the full economic model and derives the results formally.

About this publication

Industry report. An industry or consultancy report — produced outside academic peer review.

Published: 2026 (recently)
Citations: Not recorded for this source