Strategy Is Capacity Management Now
A Wharton-style view of AI strategy: the question is not what the tool can do, but what capacity the business is actually trying to create.
Source basis: World Economic Forum, Future of Jobs Report 2025
AI strategy gets noisy when it starts with technology.
I would start somewhere more operational: where is the business capacity constrained?
Is the constraint expertise, speed, judgment, review bandwidth, manager quality, client responsiveness, or risk tolerance? Those are different problems. They should not all receive the same AI answer.
The World Economic Forum’s 2025 Future of Jobs work makes the broader point clearly: skills, jobs, and transformation are moving together. For executives, that means workforce strategy and AI strategy cannot sit in separate rooms.
The practical posture is simple:
- Identify the capacity bottleneck.
- Decide whether the work requires human judgment, AI augmentation, or governed agent execution.
- Measure the operating result, not the novelty of the tool.
That is the discipline I would want in a COO or CPO conversation. AI is not a side project. It is a capacity redesign question.
The best leaders will ask fewer vague questions about adoption and better questions about operating leverage.