Most "AI strategy" conversations go nowhere because nobody agrees on what they are talking about.
Someone says, "We need an AI strategy." Three people nod. All three are picturing something different. Off they go, talking past each other for the next hour.
So let's agree on some terms.
An AI ops strategy
This is your employee experience. How your team works, where the wasted effort is hiding, and the workflows you can speed up or hand over to AI entirely. It drives your business goals through efficiency and by improving how your people operate day to day.
If you're not sure where to start, begin with team enablement, then scale from the bottom up.
An AI product strategy
This is your customer experience. How they experience what you sell, the features you build to serve them, and the AI that lives inside the product itself. It drives your business goals through retention and growth.
If you're not sure where to start, begin with a top-down, three-year product vision focused on customer Jobs to Be Done.
Your business AI strategy
This is both of the above, joined together and pointing at the same goals.
Most people are talking about one of the first two without ever saying so out loud. Then they wonder why the conversation keeps drifting and no decision ever lands.
In 2026, if you're a CEO or senior executive, your job is to think about the whole stack. Ops and product, both aimed at the same business goals.
