Tech boss U-turn: Altman, Amodei and Huang walk back dire AI job predictions - study shows AI-heavy companies actually hire more
What it really says
Several of the most influential voices in the AI industry have significantly walked back their warnings about massive AI-driven job losses. OpenAI CEO Sam Altman declared in May 2026 that he had been 'pretty wrong' about his economic predictions - after warning in June 2025 that entry-level positions were at serious risk. He told CNBC: 'Our industry underestimated how much we are going to be able to keep people at the center of everything.' Anthropic CEO Dario Amodei, who once claimed AI could eliminate 50 percent of white-collar jobs, now emphasizes that automation may actually expand the work people do. Nvidia CEO Jensen Huang went further, directly criticizing fellow CEOs: 'The narrative that connects AI to job loss, for many of the CEOs that are doing it - it is just too lazy.' An EY-Parthenon survey supports this shift in sentiment: the share of CEOs expecting significant workforce reductions from AI fell from 46 percent in January 2025 to just 20 percent in May 2026. Particularly noteworthy is a new study by financial technology company Ramp and workforce analytics firm Revelio Labs: analyzing 21,559 US companies, they found that firms with the highest AI spending grew employment by approximately 10 percent and entry-level hiring by 12 percent. MIT economist David Autor offered two explanations for the CEO about-face: either they noticed the labor market is genuinely not changing as rapidly as expected, or they realized it was bad business to claim their product would destroy the economy. Fortune notes the timing of the reversal conspicuously coincides with planned IPOs by OpenAI and Anthropic.
Our assessment
This story merits a green rating because it puts into perspective one of the biggest fears around AI - mass job loss - with current data. The Ramp/Revelio study is methodologically sound: it is the first to link actual corporate AI spending to employment data across 21,559 companies - finding that AI leaders hire more, not less. The dramatic drop in the EY-Parthenon survey (from 46 to 20 percent) also suggests apocalyptic narratives are not holding up against reality. However, caution is warranted: the Ramp study shows correlation, not causation - AI-adopting firms were already larger and faster-growing. And the fact that CEOs are changing their message just before planned IPOs should be critically evaluated. Moreover, approximately 101,743 job cuts in the first half of 2026 were attributed to AI globally. The truth lies between panic and all-clear: AI is fundamentally changing work, but not as a sudden purge - rather as a gradual transformation requiring proactive adaptation.
Relevance for Germany
This development is particularly relevant for Germany. First, the debate about AI and jobs is especially intense in Germany - according to a recent survey, 32 percent of workers fear negative impacts on their job prospects while only 6 percent expect positive ones. The CEO sentiment shift could influence this perception. Second, German sources like Wallstreet Online and IT-Boltwise covered the story under headlines like 'AI job shock called off?' showing the reassessment is gaining attention domestically. Third, the Ramp/Revelio study is relevant for German economic policy as it suggests AI investment promotes rather than destroys employment - an argument for stronger AI adoption over defensive hesitation. Fourth, IG Metall and ver.di, which closely monitor large tech companies, can use this data for their own positioning in the AI transformation process. Fifth, for Germany's dual vocational training system, the higher hiring rate for entry-level workers (+12 percent) signals that AI-competent junior talent remains in demand.
Fact check
The CEO reversal on AI job predictions is documented by numerous independent sources. Forbes (July 7, 2026) and Fortune (May 26, 2026) consistently report the changed statements from Altman, Amodei, and Huang. Altman's quote about being 'pretty wrong' is verified through CNBC. Huang's criticism of fellow CEOs comes from a public appearance. The EY-Parthenon survey (46 to 20 percent) is cited by multiple sources. The Ramp/Revelio Labs study of 21,559 US companies is available as a primary source at ramp.com/data/ai-jobs-impact and confirmed by Coindesk, TechCrunch, and an official press release. The researchers themselves note the limitation that correlation does not prove causation. Fortune's observation about the IPO connection is journalistic analysis, not proven causation. German sources (Wallstreet Online, IT-Boltwise) confirm the international reporting.
Source
- • https://www.forbes.com/sites/carolinecastrillon/2026/07/07/why-tech-ceos-are-changing-their-message-on-ai-job-losses/
- • https://fortune.com/2026/05/26/sam-altman-dario-amodei-walking-back-ai-jobs-apocalypse-prophecies-ipo/
- • https://ramp.com/data/ai-jobs-impact
- • https://www.wallstreet-online.de/nachricht/21075117-ki-jobschock-abgesagt-jobkiller-jobmotor-ceo-optimismus-steckt