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Autor: AI is a skill-disequalizer, not equalizer, for junior lawyers

Autor: AI is a skill-disequalizer, not equalizer, for junior lawyers

In David Autor's three-month study of 133 lawyers at 11 IP firms, AI access raised drafting scores by 0.38 standard deviations, but on a no-AI test only senior lawyers (7+ years) beat controls by 0.45 standard deviations; juniors showed no average gain.

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Context & Analysis

Autor is best known for the 'China shock,' research showing that Chinese import competition caused lasting damage to American manufacturing communities — wages and labor-force participation stayed depressed for at least a decade. Some economists, including Apollo Global Management's Torsten Slok and Tufts' Bhaskar Chakravorti, have drawn parallels between that experience and a potential 'AI shock' on the U.S. labor force. But Autor has pushed back, arguing on the Possible podcast that AI 'will not be, in any sense, a repeat of the China trade shock' because that was experienced by U.S. firms as a 'pure negative competitive shock,' whereas AI will have a 'very different texture.' His worry, he says, is not mass job loss but that AI 'eliminates some areas of specialty while creating new ones simultaneously' — and the workers losing old careers are generally not the ones able to take advantage of the new roles. The patent-law experiment narrows in on whether workers using a powerful new tool are actually building the expertise they need to advance. The study was conducted by Google, which paid its direct costs and whose employees made up six of seven co-authors; MIT's human-subjects committee determined MIT was not engaged in the research. Google representatives described the paper as independent research Autor did as part of his fellowship.

FAQ
What was the experiment?
David Autor and co-authors enrolled 133 lawyers at 11 U.S. intellectual-property firms. Two-thirds got access to a custom Google Labs AI patent-drafting assistant; the rest went without. Lawyers drafted patents after 10 days and again after 90 days, then took a final test without AI.
Who improved and who didn't?
After 90 days, AI access raised drafting scores by 0.38 standard deviations across the board. But on the final no-AI test, senior lawyers (7+ years in practice) who had used AI beat their control-group peers by 0.45 standard deviations. Junior lawyers showed no average gain.
What does Autor recommend for young professionals?
He says novices should work like seniors: frame the argument unassisted first, then use AI as a critic to pressure-test the logic. He also advises employers not to cut junior hiring and to pair AI rollouts with regular unassisted skill checks.
What are the study's main limitations?
The sample was small (133 lawyers from firms working for a single client), the paper has not been peer-reviewed, only 91 lawyers finished the final test, and the authors note newer models might change results if the trial were run today.

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