Stop Betting Your Company on One AI Vendor.

DeepSeek V4 hit general availability on Thursday. It's open-weight, it runs a million-token context, and it trails the best closed models by three to six months while costing a fraction of what they do. V4-Pro runs $1.74 per million input tokens against $5 for GPT-5.5 and Claude Opus 4.7. That's the fourth frontier-class model to land in about a year.

If your entire company runs on one AI vendor, that news should make you nervous, not excited.

Not because DeepSeek is the answer. Because the pace of it is the warning. Whatever model you built your product on this year will not be the best or the cheapest option six months from now. And if you welded yourself to a single provider, you can't move when that day comes.

Lock-In Is a Risk, Not a Relationship

Betting everything on one AI vendor feels like focus. It's actually exposure, and most teams don't price it until it's too late.

When one company sits between you and the intelligence your product depends on, they control more of your business than you do. They set the price, and they can raise it. They decide when your model gets deprecated, which means you migrate on their schedule, not yours. Their outage is your outage. Their rate limit is your ceiling. Their terms of service decide whether your use case is still allowed next quarter.

None of that is hypothetical. Models get retired on a regular cadence now. Prices move. Providers kill products their own customers built on, the way OpenAI shut down Sora and stranded everyone who bet on it. When you have one supplier for the most critical input in your stack, every one of those decisions is made for you.

And the lock-in usually isn't a decision you made on purpose. It sneaks in. You fine-tune on one vendor's format, you build against their specific function-calling syntax, you store embeddings from their model that a different model can't read. None of those felt like a commitment at the time. Together they become a wall, and you only notice it the day you try to leave and find out what it costs.

The Model Is an Input, Not a Foundation

Here's the mental shift that fixes this. Stop treating the model like the foundation of your business. Treat it like electricity: a commodity input you buy from whoever delivers the best value this quarter, and swap without rewiring the building.

That means putting a thin layer between your application and whatever model sits behind it, so changing providers is a config change, not a rebuild. It means keeping your prompts, your evaluation sets, and your business logic in your own hands, written to be portable rather than tuned to one vendor's quirks. It means owning your data and your retrieval layer outright, because that is the part that's actually yours, and no model provider should ever hold it hostage.

Do that, and DeepSeek going GA is good news. You run your evals against it on Friday and either switch or you don't, on your timeline, for your reasons. Skip it, and every launch from a competing lab is a threat instead of an option.

What This Doesn't Mean

This isn't a case for paranoia or for rebuilding everything twice. Swappability has a cost, and over-engineering an abstraction you'll never use is its own kind of waste.

Some proprietary features earn their lock-in. If a vendor's specific capability drives real value you can't get elsewhere, use it, with your eyes open about what it costs you in flexibility. The point isn't to never commit. It's to commit deliberately and keep an exit, instead of backing into dependence because switching got too painful to consider.

That's Simple and Secure applied to your AI stack. A system with one irreplaceable supplier isn't simple, it's fragile. The discipline is to build so that no single vendor's bad day, price hike, or policy change can take you down.

The Move

Pick the one place your business is most dependent on a single model provider today. Put an abstraction layer there. Write down a small set of evals that measure what good actually looks like for your use case. Then, every time a new model ships, run it and let the results decide.

The models will keep leapfrogging each other. That's not a problem to fear. It's a buyer's market, and the only companies that can shop in it are the ones who didn't marry the first vendor they met.

Rent the intelligence. Own the architecture.