Economic Scenarios for Transformative AI
By Anton Korinek, Charles I. Jones, Szymon Sacher, Tess Cotter, and Peter McCrory, a strong line-up from Anthropic. They are sober, reasoned, scientific, and (for the most part) dynamically consistent. Here is the paper, here is the abstract: This paper presents a framework for assessing the economic consequences of AI between 2026 and 2030. In […] The post Economic Scenarios for Transformative…
In the paper "Economic Scenarios for Transformative AI," a team led by Anthropic economists Anton Korinek, Charles I. Jones, Szymon Sacher, Tess Cotter, and Peter McCrory outlines a framework to evaluate the economic implications of AI from 2026 to 2030. The model predicts AI will automate an increasing portion of cognitive work, leading to productivity growth and job displacement. Three scenarios are examined: modest, substantial, and extreme.
Under the modest scenario, AI contributes less than a half percentage point to GDP growth by 2030, while unemployment increases by a tenth of a percentage point. However, in the extreme scenario, AI's impact is transformative. By 2030, AI could perform nearly half of today's cognitive work, resulting in a dramatic increase in GDP growth to 15 percent annually.
This scenario also leads to a significant shift in labor share, with income becoming increasingly dominated by non-cognitive work. The labor share falls from 60 to 45 percent, and nearly one in five cognitive workers becomes unemployed.
Written by urgent.news from Marginal Revolution's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
