Frontier AI won't slow down.
Nobody slows down unilaterally… and coordinating is illegal without an antitrust waiver.
However, let's say it did. What are the implications? 💭👇
*1) Does it reduce demand for AI?*
In the short to medium term: no.
Most companies are still wrestling to figure out how to implement it, with a great ROI. The frontier has run much faster than the use cases so far.
You can solve extremely complex math problems with the best models - yet we are only just starting to have useful AI assistants.
Beyond consumer search, coding and perhaps law, penetration is still low.
Models are good enough to process insurance claims, customer service calls, and dozens of other use cases.
These do not need a better model. However, they need cheaper tokens and someone to build the workflow.
If anything a pause is great for the app layer. There would be less talk of "the next model eats my startup" - and the labs would need to start competing on price and distribution instead of capability.
And of course, truly useful consumer AI will be a massive source of demand too (muse, instinct, town etc…)
*2) Do we need any less compute?*
I spoke to a team trying to secure 1k GB200s on Friday… well even with tens of millions in hand, it's not easy. Demand vastly outpaces supply already.
Pacing, in Dario's own words, does not mean stopping training. It means slowing capability gains.
The compute keeps running. But it will move: more inference, more reinforcement learning, more world models and robotics.
Great occasion for adjacent labs to catch-up / overtake too. And given 1), inference demand compounds regardless.
So no.
*3) Will open source overtake the frontier?*
Well, that is the most interesting one. If open source truly innovates (instead of distilling and copying), then it should.
But open source today mostly means Chinese labs. And every big open leap has landed months after the equivalent frontier leap. Never before.
DeepSeek has real innovation on the training side (MLA, FP8). But a post-training gap closing so fast is hard to explain without distillation, and Dario clearly agrees (and spoke about this many times): his essay pairs pacing with a crackdown on distillation and weight theft.
So: open weights become the floor in terms of speed. The frontier can only pace as much as China lets it: the stakes are too high to fall behind.
*Conclusion: if it did, I would remain bullish apps and inference, but turn more bearish lab pricing power. Which is probably why it won't happen.*