Strategy

Strategy is choice under constraint.

Most AI “strategies” are inventories: tools adopted, pilots launched, efficiencies measured. What’s missing are explicit decisions about limits, sequencing, and ownership.

Real strategy forces uncomfortable clarity:
Where AI is worth scaling—and where it is not.
Which risks are acceptable—and which are not.
What must remain human—and why.

A strategy that avoids saying no is not forward-looking. It is reactive. And reaction scales chaos faster than capability.