You’re probably panicking about which AI model to bet your company on. GPT-4o? Claude 3.5 Sonnet? Stop it. You’re obsessing over the wrong battlefield.
While everyone is drooling over benchmark scores and parameter counts, the top players are quietly executing a completely different strategy. OpenAI, Anthropic, and Tencent aren’t fighting for the smartest model anymore. They are fighting to own your daily workflow.
Right in the heat of the AI Agent war, these three giants did something completely counterintuitive: they cracked open their core engines and gave them away. OpenAI turned Codex’s backend into a managed service. Anthropic pushed out the Claude Agent SDK. Tencent flung open the doors to its WorkBuddy ecosystem.
Why would you hand your rivals your secret sauce? Because they know something you don’t.
Model superiority is a temporary illusion. The true endgame isn’t building a smarter brain—it’s owning the operating system where the work actually happens.
To understand this shift, look at where Agents actually learned to work: writing code. The terminal is a perfect playground. The rules are clear, errors are obvious, and feedback is instant. But Agents didn’t stay in the codebase.
Anthropic noticed that non-engineers were using Claude Code to analyze data and prep sales pitches. Tencent saw the exact same thing with CodeBuddy—employees who couldn’t write a line of code were using it to draft reports and search documents. The Agent had left the repository and sat down at the office desk.
But the office is a messy place. Writing a financial analysis requires access to historical company data, specific business logic, and strict permissions. A new hire might be a genius, but if they don’t know where the files are or who has access to what, they are useless.
A genius with no context is just an expensive bystander. The AI war isn’t about intelligence anymore; it’s about ecosystem integration.
No single AI lab holds this context. It is scattered across enterprise software, hardware, and industry databases. You can’t build a model smart enough to bypass the need for context. You have to build a system that connects to it.
That’s why opening up isn’t generosity. It’s a calculated trap.
OpenAI and Anthropic are playing the “Product Overhang” game. They push a model, it spills over into a product, they open the SDK, and suddenly developers are building on their infrastructure. It’s the AWS moment for Agents: you just define the task, and they handle the execution. But there’s a catch. Today’s innovative feature is tomorrow’s default model capability. If you build on their engine, you are one update away from being commoditized.
Tencent is playing a different, arguably more durable game. With WorkBuddy, they aren’t just opening the engine; they are opening the whole machine. They provide the chassis, the cockpit, and the hardware integrations. They want partners to take the base, build their own branded Agents for law or finance, and plug those tools back into the central network.
Opening your core engine isn’t charity. It’s a calculated trap to make developers so dependent on your ecosystem that leaving becomes corporate suicide.
So, where do users actually stay?
If you’re a developer, you’ll probably stick to Claude Code or Codex because your workflow is deeply baked into their tools. But for the everyday office worker, the loyalty shifts. They will stick to the entry point that holds their context. As VC Zhu Xiaohu noted, the underlying model in WorkBuddy is completely replaceable. The real moat is whether users are willing to put their enterprise knowledge base into your platform.
The model layer is commoditizing. The real land grab is the Workflow OS.
In the Agent era, you don’t win by having the smartest AI. You win by becoming the only place your users’ data feels safe.
If you are building a startup right now, stop obsessing over API pricing and model parameters. If your entire product relies on OpenAI’s infrastructure, you are just renting your moat from a landlord who can evict you tomorrow. Build the context. Own the workflow. Everything else is just noise.
FAQ
Q: Won't the smartest AI model just win eventually?
A: No. As models converge on baseline intelligence, the differentiator becomes context. A genius AI that can't access your company's specific data, permissions, and history is useless for real work.
Q: Should I build my startup on OpenAI's or Anthropic's new Agent SDKs?
A: Only if you want to risk being commoditized. If your entire product relies on their infrastructure, a single model update can wipe out your features. Own your context and workflow, don't just rent their engine.
Q: Is Tencent's ecosystem play actually better than OpenAI's?
A: For long-term survival, yes. Tencent's 'whole machine' approach locks in the user's workflow and context, making the underlying model entirely replaceable. That is a much more durable moat than pure model superiority.