# AI Impacts Labor Markets: 300M Global Jobs Exposed, 93% of US Jobs Partially Automatable

> S&P Global's latest labor analysis puts hard numbers on a fear that has been mostly vibes until now. It estimates that around 300 million jobs worldwide are exposed to AI automation, that AI could handle tasks making up roughly 25 percent of all US work, and that 93 percent of US jobs are at least partially performable by AI. The nuance is in the word tasks. Most jobs are bundles of tasks, and the report suggests the near-term effect is roles being reshaped rather than wholesale eliminated, with software developers, lawyers, and financial specialists among those projected to see meaningful employment declines over the next decade. At the same time, new categories are appearing, from AI trainers to human-AI collaboration specialists. Notably, when companies describe why they adopt AI, the top answers are process efficiency and productivity, not headcount cuts, which came in far lower. That gap between what executives say and what analysts project is the real story to watch. Whether 2026 becomes the year of net job loss or net redeployment depends less on the models and more on how firms choose to use them.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: S&P Global · Published Sunday, September 6, 2026_

## Wortins' read

S&P Global's latest labor analysis puts hard numbers on a fear that has been mostly vibes until now. It estimates that around 300 million jobs worldwide are exposed to AI automation, that AI could handle tasks making up roughly 25 percent of all US work, and that 93 percent of US jobs are at least partially performable by AI. The nuance is in the word tasks. Most jobs are bundles of tasks, and the report suggests the near-term effect is roles being reshaped rather than wholesale eliminated, with software developers, lawyers, and financial specialists among those projected to see meaningful employment declines over the next decade. At the same time, new categories are appearing, from AI trainers to human-AI collaboration specialists. Notably, when companies describe why they adopt AI, the top answers are process efficiency and productivity, not headcount cuts, which came in far lower. That gap between what executives say and what analysts project is the real story to watch. Whether 2026 becomes the year of net job loss or net redeployment depends less on the models and more on how firms choose to use them.

## Source

[Read the full story at S&P Global](https://www.spglobal.com/en/research-insights/special-reports/ai-impact-on-employment-2026)

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