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Well, that escalated quickly.
Over the weekend, some of the biggest names in artificial intelligence suddenly started talking about hitting the brakes.
Anthropic CEO Dario Amodei published a roughly 3,800-word essay calling for the industry to slow the pace of frontier AI development so safety measures can catch up. OpenAI’s Sam Altman and Elon Musk voiced support for at least parts of that argument, and by Monday morning investors were doing what investors often do when uncertainty suddenly hits a crowded trade…
They sold first and asked questions later.
AI stocks were hammered around the world.
Nvidia (NVDA) fell more than 3%, while AMD (AMD), Marvell (MRVL) and several other semiconductor names dropped around 5%–6%. The Philadelphia Semiconductor Index (SOX) was down nearly 6% at one point, and SoftBank (SFTBY) plunged more than 10% in Japan.
Suddenly, the narrative went from “AI is changing everything” to “maybe the entire AI boom needs to slow down.”
I think that’s getting way ahead of reality.
Let me be clear: I believe AI safety deserves to be taken seriously.
These models are becoming enormously powerful, and companies developing them should absolutely be thinking about cybersecurity, human control, and what happens as AI agents become increasingly autonomous.
OpenAI itself temporarily slowed parts of its frontier training this summer while strengthening security and containment systems. That’s responsible engineering. It doesn’t mean the AI revolution has suddenly stopped.
But there’s a big difference between saying we need safeguards and saying the AI investment boom is over.
The market appears to be confusing the two.
And I hate to say it, but I found myself agreeing with something the Chinese government said Monday.
Responding to the weekend’s warnings, Chinese Foreign Ministry spokesperson Guo Jiakun said that “fear-mongering, confrontation, and vicious competition” would hurt global AI development and governance.
I wouldn’t normally look to Beijing for my investment philosophy. But on the fear-mongering part, I think they have a point.
Here’s what hasn’t changed.
Microsoft (MSFT), Meta (META), Amazon (AMZN), Alphabet (GOOG) and the rest of the hyperscalers aren’t suddenly cancelling their data centers. Companies aren’t returning their Nvidia chips. Businesses aren’t abandoning AI because Dario Amodei wrote an essay over the weekend.
In fact, analysts at JPMorgan and Jefferies said Monday that there is no clear evidence of an AI spending slowdown.
The bigger long-term shift may simply be from training enormous models toward inference – actually using those models in the real world – which itself requires massive computing infrastructure.
That’s the part investors shouldn’t lose sight of.
AI has already moved beyond an experiment. It’s being integrated into software, healthcare, manufacturing, defense, robotics, finance, and practically every other industry we follow here.
You don’t reverse that because of a bad weekend of headlines.
There’s another element worth considering.
We’re now roughly seven weeks away from the November 3 midterm elections, and AI is rapidly becoming a political issue. Concerns about jobs, data centers, electricity demand, regulation, and AI safety are coming from both sides of the political spectrum.
President Trump pushed back strongly against the calls to slow development, arguing that doing so could hand America’s AI advantage to China. Meanwhile, other politicians and advocacy groups are calling for much tougher safeguards.
Do I know that the sudden wave of warnings is politically motivated?
No.
But when an issue this powerful collides with an election season, I think investors should expect the rhetoric to get louder before it gets quieter.
We’ve seen this movie before.
Every transformative technology produces periods when investors suddenly become convinced that the story has changed. The internet had them. Cloud computing had them. Electric vehicles had them.
AI will have plenty more.
This particular fear could last a few days. It could last several weeks. And given how far many AI-related stocks have run, I wouldn’t be surprised to see more volatility before things settle down.
But unless we begin seeing actual evidence that hyperscalers are cancelling projects, slashing capital spending, and abandoning their AI roadmaps, I’m not changing my long-term thesis.
The AI revolution isn’t ending.
If anything, this episode may eventually give investors something we’ve been waiting for: Better entry points into some of the companies powering it.
P.S. If this weekend taught us anything, it’s that fear moves faster than facts. Nvidia, the SOX, SoftBank… all of them got hit hard before anyone had time to check whether the hyperscalers had actually changed a single plan. They hadn’t.
That’s the exact pattern my colleague Bryan Bottarelli has spent years studying. He calls it a Flash Rally: a sharp reversal that follows a stretch of panicked selling, once the fear has run further than the facts justify. If this week’s AI scare ends up producing the better entry points I mentioned above, Bryan’s system is built to tell you when the bounce is close instead of leaving you to guess.
He’s going live tomorrow at 2 p.m. EST to walk through the whole setup. The signal he watches, the moment he pulls the trigger, and a live Q&A after. Worth your time, especially with this much fear already priced into the tape.
