Skip to main content
BTC / USDTCRYPTO107,400+2.19%ETH / USDTCRYPTO3,840+2.13%SOL / USDTCRYPTO182.40−1.99%BNB / USDTCRYPTO652.30+0.66%XRP / USDTCRYPTO2.2150+1.61%DOGE / USDTCRYPTO0.3850−1.79%TON / USDTCRYPTO5.240+2.34%AVAX / USDTCRYPTO42.60−2.07%LINK / USDTCRYPTO22.40+2.28%ADA / USDTCRYPTO1.0520−1.68%TRX / USDTCRYPTO0.3300+0.92%DOT / USDTCRYPTO8.420+2.93%BTC / USDTCRYPTO107,400+2.19%ETH / USDTCRYPTO3,840+2.13%SOL / USDTCRYPTO182.40−1.99%BNB / USDTCRYPTO652.30+0.66%XRP / USDTCRYPTO2.2150+1.61%DOGE / USDTCRYPTO0.3850−1.79%TON / USDTCRYPTO5.240+2.34%AVAX / USDTCRYPTO42.60−2.07%LINK / USDTCRYPTO22.40+2.28%ADA / USDTCRYPTO1.0520−1.68%TRX / USDTCRYPTO0.3300+0.92%DOT / USDTCRYPTO8.420+2.93%
定价
macroJul 3, 2026, 9:11 PM

High AI-Spending Firms See 10% Headcount Rise, Study Finds

A study of ~22,000 US companies shows that firms with the highest AI investment experienced a 10.2% increase in headcount over two years, while low-AI firms saw no net hiring.

A study covering approximately 22,000 US companies found that businesses with the highest AI spending posted a 10.2% increase in headcount over the past two years. Entry-level jobs at these firms rose an average of 12.0%.

Job gains typically accelerate 6–12 months after a surge in AI investment. In contrast, companies with low AI adoption saw headcount remain roughly unchanged over the same period.

The data suggests that meaningful AI investment often unlocks productivity gains, which in turn drives hiring — reshaping where and how employment grows.

Source: The Kobeissi Letter