1 hour ago
29
The S&P 500 has added roughly $33 trillion in market value since ChatGPT launched in late 2022. Now Bloomberg is flagging a scenario investors have mostly been trying not to think about: what happens if the fuel stops flowing.
The trigger this time came from Anthropic CEO Dario Amodei, who on September 14 publicly called for a slowdown in AI development, citing safety risks. Elon Musk and Sam Altman have echoed similar sentiments at various points. Markets responded immediately. Nvidia fell 3.4% that day. SoftBank dropped 10.7%.
The numbers behind the AI dependency
According to Bloomberg Economics, AI-related investments contributed to roughly half of US GDP growth over the past year, with the economy expanding at around 2%.
US VC funding topped $400 billion in the first half of 2026 alone, with AI startups capturing the lion’s share.
Investor flows into IT-focused ETFs have surged to $52 billion since late March 2026. The rest of the market? A comparatively modest $4 billion. That’s a 13-to-1 ratio in favor of tech.
Why safety concerns are spooking Wall Street
When the CEO of one of the three leading frontier AI labs tells the world to slow down, it carries weight that a random op-ed does not.
The market reaction on September 14 offered a preview. Nvidia, whose chips power essentially every major AI training run, saw its stock slide immediately. SoftBank, which has positioned itself as a massive AI infrastructure investor through its Stargate partnership, took an even harder hit.
The ripple effects beyond tech
The $33 trillion figure represents gains across the entire S&P 500, because the AI narrative has lifted sectors far beyond pure tech. Bloomberg Economics’ estimate that AI contributed to roughly half of recent GDP growth means this isn’t just a stock market story. It’s a macroeconomic one.
When $400 billion flows into startups in six months and most of it targets a single technology, any disruption to that technology’s trajectory creates a cascading problem.
The $52 billion in IT ETF inflows since late March represents a level of concentration that historically precedes painful rotations.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
English (US) ·