It's Not About Anthropic vs. OpenAI Anymore — Here's What Actually Changed

I used to track AI news like it was a competitive sport — Anthropic drops a model, OpenAI responds, Google jumps in. But something shifted in the last few weeks that made me realize the game itself has changed. It’s not about which company ships the best model anymore. It’s about which models the government will let you use at all.

If you’ve been following the AI regulation story, you know the U.S. government pulled Anthropic’s Fable and Mythos models a few weeks ago. Now OpenAI’s GPT 5.6 is headed for the same treatment — limited preview only, with the government approving releases “customer by customer” until a general release gets the green light. Both companies, which spend most of their time competing with each other, are now dealing with the exact same problem.

What actually happened

The timeline moves fast, so here’s the short version. Anthropic’s Mythos model has been stuck in government preview for months with no clear path to general release. Then the Information reported that OpenAI’s GPT 5.6 would face a similar bottleneck. If that preview only lasts a couple of weeks, it might not be a huge deal — Sam Altman reportedly projected that timeline. But given that Mythos is still stuck, nobody’s holding their breath.

The core issue isn’t that the government is testing AI models before release. That’s reasonable — we do it for lots of consumer products. The problem is that nobody can articulate what the testing is actually for. As Dean Ball from GMU detailed, the U.S. government doesn’t have the expertise or capacity for the kind of safety testing that would be needed here. It’s not even clear what regulators are trying to protect against.

Why this matters if you use AI tools

Here’s where it gets personal. If you’re running a business with AI tools — whether that’s building automations, using AI for client work, or exploring what AI can actually do — model access matters. When a company spends hundreds of millions training a new frontier model and then can’t release it for months, that’s not just their problem. It’s yours.

Every month a better model sits in regulatory limbo is a month you’re running on older tech while the bills keep coming. And if the pace of model development slows as a result, it puts a chill on the entire ecosystem — including the tools and integrations you’ve already built your workflow around.

The AI labs are trying to improve their bottom lines. They need revenue from new models to justify the massive data center buildouts. If government approval processes slow everything down, the economic math stops working — and that affects what gets built, what gets maintained, and what gets abandoned.

The real shift: collaboration over competition

What’s interesting is how this pressure is forcing the industry to act collectively instead of competitively. The usual narrative — Anthropic running a regulatory capture scheme, OpenAI cozying up to Trump to ice out a rival — still gets clicks. But it misses the bigger picture.

Both companies now face identical constraints. There’s no regulatory fix that helps one without helping the other. The cost of a haphazard government approval process falls on everyone. And the best ideas for addressing legitimate concerns — cybersecurity implications, biorisk, alignment — will require the industry to work together.

As Ball laid out, that means trusting independent groups to guide the process, lining up behind the least-bad regulatory options, and fighting for AI as an industry instead of seeing safety regulation as a competitive weapon. For companies that have spent years trying to one-up each other, that’s a fundamental mindset shift.

What you should actually do

Don’t bet on one model. If your entire workflow depends on a single AI provider’s latest model, you’re exposed. The events of the last few weeks prove that even the biggest players can have their best models stuck in regulatory review for months. Build your automations with fallbacks. Use tools that support multiple model providers.

Watch the timeline, not the headlines. The real signal isn’t which model gets announced — it’s how fast approved models actually reach general availability. If GPT 5.6’s “couple of weeks” stretches into months like Mythos, that tells you the regulatory environment is a real bottleneck, not a speed bump.

Build on stable ground. The tools you use today — Zapier, Make, ChatGPT, Claude — aren’t going anywhere. But the next generation of tools depends on next-generation models getting to market. If you’re planning to adopt new AI capabilities this year, factor regulatory uncertainty into your timeline.

The bottom line

The AI industry just got a shared problem that no amount of competition can solve individually. For solopreneurs and small business owners who rely on AI tools, the message is clear: the landscape is shifting from “which company wins” to “which models can you actually access.” Stay flexible, diversify your tool stack, and don’t assume the next big model drop will land on schedule.

If you want to stay current on AI changes that actually affect your workflow, start here — we break down what matters without the hype.