Hey everyone,

Over the weekend, Anthropic's CEO wrote a 3,800-word essay with one blunt message: the AI industry needs to slow down.

Then OpenAI's CEO agreed with him. Publicly.

Two companies that have spent the last few years racing each other just said, in writing, that the race itself might be the problem. Markets did not take it well. Let's get into what actually happened, and what it means if your career plan is "get into AI."

Anthropic CEO Dario Amodei published a 3,800-word essay this weekend arguing that fully addressing AI safety risk means more than just funding safety research on the side. It means deliberately pacing how fast model capabilities improve, so safety work has time to catch up. OpenAI's Sam Altman agreed publicly, saying pacing has been a major internal discussion at OpenAI too, and committing to give independent evaluators employee-level access to check their work.

This didn't come out of nowhere. Last week, an Anthropic researcher resigned and said publicly that advanced AI "could kill us all by the end of the decade," and that neither Anthropic nor OpenAI were treating that risk seriously enough. That's the spark. This essay is the response.

Every customer signal is captured in one shared context layer, always current and compounding. Agents and workflows build pipeline, chase every buying signal, and move deals forward, an always-on revenue engine running alongside your team.

With Attio, you’ll get:

Teams like Parallel, Turbopuffer, and Wordsmith build on Attio. Are you one of them?

Get started now

Markets reacted fast on Monday. Nasdaq-100 futures fell about 1.6%, led by chip stocks. Nvidia dropped roughly 3%. Micron fell more than 5% on the same safety warnings. Meanwhile, cybersecurity name CrowdStrike jumped 15% as investors rotated into "AI safety" adjacent bets instead of pure capability bets. Meta actually climbed on a Goldman Sachs note about its Muse AI agent, so this wasn't blanket panic. It was a repricing of who benefits from AI moving slower versus faster.

There's a political layer too, worth knowing about without picking a side here: this slowdown call puts Anthropic and OpenAI somewhat at odds with the current administration's stance that the US can't afford to fall behind China in AI. That tension is real and ongoing, and it's part of why this story is bigger than a stock dip.

What most CS students assume: the safest career move is racing toward whatever the frontier AI labs are building, as fast as possible, because speed is the whole game.

What the people running those labs are now saying, in writing: the pace itself might be the actual risk, and they're asking regulators, each other, and their own investors to slow it down.

Your move: this doesn't mean skip AI. It means the "move fast" story you've been sold is being publicly questioned by the two companies most associated with it. When you're picking a team or a company, ask about their actual eval and safety process, not just their shipping speed. That question used to be a nice-to-have. It's now a real signal of how a team thinks, and it's a great thing to bring up in an interview.

One more practical thread if you're weighing offers: OpenAI just pushed its IPO to 2027 over these same concerns, while Anthropic is reportedly still planning to list this fall. If you're comparing pre-IPO equity at either company, that timeline gap actually matters.

That's the story. AI is probably still the safest bet for a CS career. Just go in with eyes open about what "safest" actually means right now. Check what's open on the job board while you're at it.

Talk it out with people who get it. Drop your take in r/joblessCSMajors: does this change how you'd rank an AI-safety-focused team against a pure capabilities team?