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title: Apollo finds AI is hitting paychecks rather than payrolls
description: An Apollo Global Management analysis by chief economist Torsten Slok found that wages in the 321 occupations most exposed to AI grew 6.7% more slowly after...
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og:description: An Apollo Global Management analysis by chief economist Torsten Slok found that wages in the 321 occupations most exposed to AI grew 6.7% more slowly after...
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# Apollo finds AI is hitting paychecks rather than payrolls

**[The Next Web](https://daily.dev/sources/tnw)** · 3 min read · 0 upvotes · 0 comments

## Summary

An Apollo Global Management analysis by chief economist Torsten Slok found that wages in the 321 occupations most exposed to AI grew 6.7% more slowly after 2023 than in low-exposure jobs, with no statistically significant employment change overall. The wage hit concentrated on the lowest-paid quartile (10.7% gap) and vanished at the top quartile. The study used the Anthropic Economic Index to measure real AI usage rather than theoretical exposure, and the authors flag its limits, including a small, uncertain 24.3% gap for service workers. Other data, including US labour statistics and Goldman Sachs reporting, points to job losses in AI-exposed fields, and former IBM HR chief Diane Gherson argues layoffs are being masked by quietly reduced hiring and accounting choices that favor severance over retraining. Europe currently lacks an equivalent wage-based study.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/apollo-ai-wage-growth-not-job-losses-study>

## Questions this post answers

### Does AI exposure reduce employment or just slow wage growth?

Apollo's analysis of 321 occupations found no statistically significant employment effect from AI exposure, but wages in highly exposed jobs grew 6.7% more slowly after 2023 than in low-exposure occupations. The wage gap was largest in the lowest-paid quartile at 10.7% and disappeared entirely in the highest-paid quartile.

_Track how AI's labor market impact evolves with daily.dev's ongoing coverage of AI and work._

### What data source did Torsten Slok use to measure AI exposure across occupations?

Torsten Slok and Sania Edlich matched 321 of roughly 800 occupations to labor statistics from 2015 to 2025 using the Anthropic Economic Index, which tracks observed AI usage from actual model interactions rather than theoretical exposure estimates. They caution that exposure data comes from a single company and some subsamples, like a 24.3% wage gap for service workers, are small and uncertain.

_Developers weighing AI's real-world economic effects can follow research methodology debates on daily.dev._

### Why might AI-driven job losses be hard to detect in official employment statistics?

Former IBM HR chief Diane Gherson argues companies are quietly hiring fewer people into high-attrition, lower-wage roles instead of announcing layoffs, making the effect invisible in headline employment numbers. She also notes accounting distortions: severance gets booked as a one-off charge investors discount, while retraining costs hit operating expenses every quarter, making cuts look better than reskilling on paper.

_daily.dev readers tracking AI's workforce impact can follow how companies quietly reshape hiring._

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---

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