Why AI giants got scared of OpenClaw — and what it means for business
Context is the new moat. Let me explain.
A lot of business processes are being replaced by AI. This makes sense. AI is generally smarter, faster, and cheaper than what we built before.
But this turns all of us into wrappers. If every company is just a thin layer on top of the same AI models, what is actually valuable? Where does the moat go?
AI will not make all businesses obsolete. But the source of value is changing. And I think I figured out what it is changing to.
One word: context.
The moment it clicked
I was forced to switch my Claude account to a brand new one.
The new account was completely empty. No previous conversations. No knowledge of who I am. It did not know what I do, what I like, how I think. Nothing.
This was surprisingly painful. Not because Claude is better than the alternatives. But because Claude knew me.
We could start conversations halfway. I could say “remember when we talked about that” and it would. I did not have to explain from zero — what company I work for, what we are building, how I make decisions.
That pain was the clue.
Context makes products sticky
Think about grocery shopping with AI.
You come in fresh and say “I need eggs.” The AI goes to a store, finds some random eggs — probably the first ones in search results.
But you have preferences. Maybe you want the cheapest ones. Maybe you want free range only. Maybe you have a rule: free range if under 4 euros, otherwise a specific brand.
This is where context accumulates. Once you go through all the products you buy regularly, the AI system learns. From now on, “eggs” means exactly what you want. Same with milk. Same with everything.
Now imagine switching to a different service. You would have to explain everything again from the beginning. All your preferences. All your logic. How you make purchase decisions.
That is what makes products sticky. That is the business value we need to create.
This is why OpenAI and Anthropic got scared of OpenClaw
If context is the moat, then OpenClaw is a direct threat to it.
OpenClaw runs on your computer. The memory, the knowledge about you, your preferences, your files — all of it stays local. You control it. You can read everything it knows about you in plain text files. Delete things. Edit things.
And here is the key part: you can switch the underlying AI model like socks.
I tried OpenClaw for a week. I installed it, connected it to different models, and spent days tinkering. It connects to Claude Code, Codex, Gemini or whatever model you want. But the context stays on your machine. I did not care which model was running underneath — I switched cold-heartedly between them because the only thing that mattered was quality. There was no stickiness to any single provider.
Compare that to ChatGPT, where your conversations live on their servers, all your context is in their hands. OpenClaw breaks that lock-in by putting context in the user’s hands.
This is why the big players reacted the way they did. OpenAI hired the guy behind OpenClaw. Meta tried to buy it. Anthropic got defensive about how Claude Code could be used with tools like this. And now they are all building the same functionality into their own platforms — so you stay locked in.them.
They are not scared of the technology. They are scared of losing the context of you.
The opportunity: niche products with deep context
ChatGPT, Claude, Gemini and the other general-purpose AI’s are going to be the biggest winners in this new landscape. They are fighting for users right now because once you create context in one platform, it is painful to move.
The big players — Meta, OpenAI, Anthropic, xAI — they have the capital and the user base to fight this fight. They will also keep absorbing features from startups to keep you on their platform. It is not worth competing with them on general-purpose AI.
But there is an opportunity elsewhere.
The opportunity is in very specific products where context is critical and deep. And as complicated as this sounds, it actually simple (Grocery example I mentioned before). It can be a simple feature in your existing product that remembers what your users care about.
General-purpose AI’s will know a little about everything in your life. But a niche product can know everything about one part of your life. And that depth is what creates real value.
What this means for your business
This is also the answer to the wrapper problem.
If all you do is pass user input to an AI model and return the output, you are a wrapper. Replaceable. No moat. But if you capture context about your users — if your product gets smarter about each person over time — you are no longer just a wrapper. You are something more valuable. Something that is hard to leave.
And here is what makes this moment unique: this opportunity did not exist before.
Context used to be a luxury of big corporations. Amazon, Facebook, Google — they captured context through big data. They watched what you clicked, what you bought, how long you hovered over a product. They had to guess your intent from your behavior. And it took massive infrastructure to do it.
With AI, that flips completely.
People are ready to share their context now - they are starting to understand that to get the best out of AI, they need to share more. When you talk to ChatGPT or Claude, you tell it what you need, why you need it, how you think. You give more than you would to most humans. And you do it because it works — the more you give, the better it gets.
This kind of willingness did not exist before AI. People will talk to an AI for twenty minutes about how they choose groceries — because they see the payoff immediately.
You do not need to be Amazon to capture context anymore. You just need to build a product where sharing context makes the experience better.
How to actually capture it
The key is friction. Or rather — removing it.
If capturing context feels like work, people will not do it. If it feels like a conversation, they will share more than you ever expected.
This means voice first. Let people talk. People ramble, they explain their reasoning, they say things they would never bother to type. That is gold.
The businesses that figure out how to capture context with zero friction — those are the ones that will not be wrappers. Those are the ones building a real moat.
The question every business should ask
We cannot win against OpenAI and Anthropic on general-purpose AI. They have the capital and the user base. It is not worth fighting their fight.
But they are general-purpose. The opportunity is in depth, not breadth.
So the question is: what is your niche? What context can you capture that is specific to what you do? How do you make sharing it so natural that users do it without thinking? And how do you make that context so valuable that leaving means starting over?
Build the context layer. That is the moat.
Context is not the only moat
I think context is the most important moat in the new AI era. But it is not the only lever.
Distribution might be just as critical. When anyone can replicate your software with AI in a weekend, having the product is not enough. Having unique advantage in distribution is the key.
Proprietary frameworks and workflows. Not the code itself — AI can replicate code. But the way you structure a process, the methodology behind how your product solves a problem, the opinionated workflow that users learn and depend on. That is harder to copy.
Speed of execution. When everyone has access to the same AI tools, the teams that ship fastest win. Not because the first version is perfect, but because they start capturing context and learning from users while others are still building.
Trust and brand. When AI handles sensitive parts of your life — your finances, your health, your personal decisions — trust matters more than features. A brand people trust will beat a technically superior product from an unknown company.
These all matter. But I keep coming back to context as the deepest moat because it compounds. Distribution gets you users. Speed gets you to market. Trust gets you loyalty. But context is the thing that gets stronger every single day someone uses your product. It is the moat that builds itself.