What does it mean to "own your intelligence"?
What does it mean to "own your intelligence"?
Key Takeaways
- Generic AI alone will not create lasting advantage
- Companies need control over their models, agent systems, context, and memory
- Owning intelligence also means managing its cost, quality, risk and behavior
- Advantage comes from a feedback loop that improves the system with use
- Buy the generic infrastructure, but own the intelligence that compounds
Over the next five years, every company will use AI in one of two ways: to run critical parts of their business, or as part of the product they sell to customers. In both cases, generic intelligence will not be enough.
To have real impact, companies need to own their intelligence. Ownership does not mean building every layer from scratch. It means controlling the parts that determine how intelligence behaves, how it's managed, and whether it compounds over time.
Off-the-shelf intelligence does not know your business
Off-the-shelf AI is useful because it is general. It can answer common questions and reason across a broad set of topics. This makes it helpful to get started. But to assume that generic intelligence can run operations inside a company would be a gross simplification.
What it means to own your intelligence
Owning your intelligence does not mean building every layer of the AI stack yourself. It means controlling the critical parts - the parts that determine how intelligence behaves, what it learns from, how much it costs, and whether it improves over time.
A checklist for owning your intelligence
Do you truly own your intelligence? Here are a set of questions you should be asking yourself to determine that:
- If a brand new model provider launched a SOTA model tomorrow, could you easily switch to it?
- If the current model provider you're using deprecates a model - could you host it yourself to avoid any disruption?
The strategic choice
Companies do not need to build every layer of the AI stack. They should buy the parts that are hard, generic, and undifferentiated.
