Your AI moat is turning into a swamp. Here’s what that looks like:
Google and OpenAI are racing to lock you in through personal context. Context you can’t see, can’t edit, can’t audit.
The pitch: “Our model learns you. Gets smarter over time.”
Here’s what actually happened to me.
I’m a cybersecurity leader, so Gemini started dropping cyberpunk references into everything. Cute at first. Noise after a week.
I had a sword & sorcery phase last year. Now it keeps surfacing my embarrassing fan fiction drafts as “relevant context.”
That’s not personalization. That’s pollution.
Three signs your AI context is working against you:
- The model references projects you’ve moved on from.
- Personalization feels like being stereotyped, not understood.
- You’re correcting the AI’s assumptions instead of using its outputs.
The context you can’t audit is the context that corrupts your work.
The real moat isn’t lock-in. It’s intentional control over the context.
What’s your experience? Is AI personalization actually sharpening your outputs, or is it just making the model feel familiar while quality quietly drifts?