Most companies are thinking about AI adoption in terms of tools. The more important piece to get right might be cultural. Let me be more specific. I see three levels of maturity for AI.
Level 1: AI Curiosity
People experiment. They try a few tools, run pilots, and look for productivity gains. AI is
interesting, but still sits outside the core operating model. The question typically asked is: What can AI do for me?
Level 2: AI Fluency
People understand how to work with AI effectively. They know how to frame problems, provide context, evaluate outputs, and
redesign workflows. AI is no longer a novelty. It becomes a meaningful part of
how work gets done. The question shifts to: How do I use AI to do this better and faster?
Level 3: AI Instinct
This is where a company gains durable step-function improvements. People no longer need to be reminded to use AI. They naturally begin with it.
Teams instinctively ask what should be automated, what should be delegated,
what requires human judgment, and where the next layer of differentiation can
be created. The question now becomes: What should humans uniquely do now?
That distinction matters because AI may dramatically shorten the half-life of
every competitive advantage. A proprietary workflow becomes easier to reproduce. A technical breakthrough
becomes part of the industry baseline. Yesterday’s hard-earned advantage
becomes tomorrow’s commodity. The companies that win, therefore, may not be the ones with the strongest moat
at any single moment. They will be the ones with the highest rate of moat creation. That requires more than AI tools. It requires a culture with AI instinct.
A culture that continuously absorbs what AI commoditizes, moves its people
toward the next frontier, and creates new forms of judgment, execution, and
differentiation.
- AI Curiosity is experimentation.
- AI Fluency is capability.
- AI Instinct is organizational reflex.
The ultimate advantage may not be what your company knows today. It may be how quickly your company develops its next instinct.