AI Isn't Taking Jobs. It's Tilting the Ladder

Companies that adopted generative AI did not shrink their workforces. They changed who was on them. That is the central finding of a new working paper from the Stanford Digital Economy Lab, which tracked companies across 41 countries from before ChatGPT’s launch through March 2026.

What the study found

Economists Bharat Chandar (Stanford University) and Bouke Klein Teeselink (King’s College London) analyzed 1.25 billion job postings and 154 million employment records. They treated a company as an AI adopter if it posted job ads involving generative AI, then compared the foreign affiliates of adopting companies with comparable affiliates of companies that did not adopt, in the same country and sector.

By March 2026, compared with those control affiliates:

• Senior employment was 6.7% higher. It barely moved for the first year and a half after ChatGPT’s release in November 2022, then climbed steadily.
• Junior employment was about 2.5% lower, but the authors stress that this estimate is not statistically significant.
• Total employment was about 3.3% higher, a result the paper calls only marginally significant.
• The junior share of the workforce fell by 1.9 percentage points. That is the paper’s clearest result.

In other words, the shift toward seniority came mostly from companies adding experienced staff, not from cutting junior roles. The authors put it in human terms: the average matched affiliate, with roughly 255 positions in October 2022, ended up with about 8 more seniors and about 4 fewer juniors than it would have had without adopting AI.

A pattern across countries

The researchers repeated the analysis separately for the 31 countries with enough data to support a country-level estimate. The junior share dropped in 23 of those 31 countries, with statistically significant declines in seven, including the United States, Brazil, and Saudi Arabia. No country showed a significant decline in total employment.

The effect was sharpest in the most AI-exposed work. In computer and mathematical occupations, the employment share grew by 0.8 percentage points while the junior share within that group fell by 3.3 points. Across most other occupation groups, the shifts were small.

What the viral version got wrong

Versions of this study circulating on social media rounded the junior decline up to 3% and described the period as five years. The paper’s figure is about 2.5%, it is not statistically significant, and the AI-adoption window it measures runs from November 2022 to March 2026, about three years and four months. The study also does not show AI eliminating jobs overall. It shows AI-adopting firms tilting their mix toward experienced workers relative to similar firms that did not adopt.

Caveats

This is a working paper and has not yet been peer reviewed. AI adoption is inferred from job advertisements, which is a proxy rather than a direct measure of how much a company uses AI. The authors also note that firm-level effects do not automatically translate into economy-wide employment changes.

Why it matters

For people early in their careers, the takeaway is not that AI is erasing entry-level jobs. It is that employers adopting AI appear to be leaning harder on experience, especially in the most AI-exposed roles. That changes what the first rung of the ladder looks like.