Who owns your AI's knowledge?
You feed the AI the knowledge of your work. The question is who ends up owning that knowledge, and whether you can take it with you.
Every serious use of AI creates something valuable: gathered knowledge, maintained connections to your systems, the hard-won understanding of your context. It's a real investment.
People rarely ask who owns that investment. If it's stuck inside a single vendor, it effectively belongs to them. Switch, and you start over.
01
The invisible investment
Anyone using AI day to day builds more than they realise. Connections to databases and tools, collections of examples, recorded decisions, a growing picture of their own project. This layer is what makes AI genuinely useful.
It forms over months. And it's expensive, because it's made of your time and your know-how.
The most valuable part of your AI is the context you've built.
02
The lock-in trap
When that knowledge lives in one vendor's formats and interfaces, it practically belongs to them. Switching models then means rebuilding every connection, migrating data, losing months.
That's no accident. Lock-in is a business model. The deeper your knowledge sits inside a platform, the costlier your exit, and the weaker your hand at the next contract renewal.
Whoever locks your knowledge in is selling you dependency.
03
What open standards change
There's another way, and the industry just took it. Open standards separate the knowledge from any single vendor. What you build once to an open standard belongs to you and works with any tool that speaks it.
The example of the moment is the Model Context Protocol. Introduced by Anthropic in late 2024, a year later backed by OpenAI, Google, Microsoft and Amazon and handed to the Linux Foundation. A kind of USB-C for AI.
Historically, the open protocols win in the end. Email and the web showed it. The AI market is at exactly that point, before the dependencies have hardened.
04
Knowledge that's yours
That conviction sits inside what we build at Thinkery. Knowledge for the AI should live in an open format that belongs to no one alone.
What lives in an open format belongs to you: you can take it with you, use it across different tools and keep it, even when you change the model. A dependency turns into something you genuinely own.
Knowledge that comes from your work should belong to you and travel with you.
05
Where this leads
The choice for or against openness is being made now, and it's more strategic than it looks. It separates a lasting investment from an expensive experiment.
Keep your AI knowledge open and portable, and you keep the freedom to pick the best tool, today and in three years. That's the freedom we want to protect. Because in the end it's about who owns the future of your own work.
Openness is the insurance for the day you want to switch.