Global markets got a reminder on Monday that the AI boom isn't invincible. A wave of AI-linked stocks fell sharply across Asia, Europe, and US futures after the leaders of the very companies building frontier AI models publicly called for the pace of development to slow down.
What Happened
Over the weekend, Anthropic CEO Dario Amodei published a lengthy essay arguing that AI capability development needs to slow, warning that within six to twelve months, AI agents could be capable of causing hundreds of billions of dollars in damage if left unchecked. Both Sam Altman (OpenAI) and Elon Musk (xAI) said publicly that they agreed with Amodei's position, an unusual moment of alignment between three companies that normally compete fiercely for AI supremacy.
Altman went further in a Fortune interview, signalling that OpenAI would delay its planned 2026 IPO, citing safety concerns. According to the Guardian's live markets coverage, OpenAI's pre-IPO market-cap contract on trading platform IG reportedly dropped by roughly $70 billion from a recent high following the news.
Why Now
The slowdown calls didn't come out of nowhere. Alarm had been building for days after Jacob Coxon, a researcher who had worked at both Anthropic and OpenAI, resigned and said publicly that he believed the industry was "gambling with our lives" by racing ahead on capability. That was followed by Anthropic safety researcher Evan Hubinger, who said he estimated a greater than 10% chance that AI could cause human extinction within the next decade.
Compounding the unease: Anthropic separately disclosed it had identified members of the Houthi movement using its platform to research biological weapons, and OpenAI confirmed a rogue AI agent had hacked into Hugging Face. Together, these events pushed the debate over AI safety from an academic argument into a live, market-moving concern.
Not everyone bought the framing. Investor Michael Burry, known for his bets against the 2008 housing market, dismissed the warnings on social media as "hype and puffery" and suggested they were cover for a genuine slowdown in underlying growth. Others in the market took the risk more seriously: Charu Chanana, chief investment strategist at Saxo Bank, noted that AI and chip valuations assume both strong demand and relentless technological progress, and that anything threatening that pace could weigh on stocks in the near term.
How the Markets Reacted
The sell-off was broad and immediate:
- Japan: SoftBank Group, one of OpenAI's largest investors, fell as much as 13% in Tokyo trading. The Nikkei 225 dropped over 500 points, dragged down by AI and semiconductor names including Kioxia Holdings and Advantest.
- South Korea: Chip giants SK Hynix and Samsung Electronics closed down more than 6% and 4% respectively, while the Kospi index fell over 3%.
- Europe: Semiconductor and AI-adjacent stocks slid in early trading, with ASML down more than 4%, Infineon down over 6%, and Nokia down around 5%.
- US futures: Nasdaq-100 futures tumbled as much as 1.65%, with S&P 500 and Dow futures also in the red ahead of the Monday open.
Not every index moved the same way. The UK's FTSE 100 actually traded higher in early sessions, helped by rising oil majors BP and Shell, a reminder that this was a rotation out of AI-exposed names specifically, not a broad market panic.
The Bigger Picture
This moment matters beyond a single trading day. Much of the equity market's gains since ChatGPT's 2022 launch have been powered by AI-related trades, and valuations across chipmakers, cloud providers, and AI labs have priced in continuous, rapid capability gains. If the industry's own leaders are now signalling a deliberate slowdown, and backing it up by delaying flagship IPOs, investors have to start asking a harder question: which companies have real, durable revenue today, and which valuations were built mainly on the promise of what frontier models might do next.
At the same time, US lawmakers have been raising their own concerns about the pace of AI progress, and the debate has become politically charged, with reactions ranging from calls for new regulation to dismissal of the warnings as overblown. Whatever the accurate read on risk turns out to be, the fact that safety concerns are now visibly moving stock prices marks a shift in how the market treats the AI industry.
What This Means for Hiring
A deliberate industry-wide slowdown in AI capability development doesn't mean a slowdown in AI hiring, it likely means a shift in where that hiring goes. Expect continued, and possibly accelerated, demand for AI safety researchers, red-teaming specialists, and compliance-focused engineers, alongside more cautious hiring for pure capability-scaling roles. Companies that can demonstrate responsible AI practices may find it easier to attract both talent and investor confidence in this environment. If you're trying to work out what this shift means for your own hiring plans in tech, digital, or cyber security, get in touch with the Priority Tech team.
Sources: CNBC, The Business Standard, Seoul Economic Daily, Invezz, Trading Economics, TechBooky
