The books made the argument that people, not technology, decide whether transformation works. The pieces below carry that argument into the AI era. Longer whitepapers first, shorter essays below.
Where Durable Enterprise Value Migrates When AI Makes Production Cheap
As AI absorbs the technical and transactional layers of professional work, value moves to the work that stays human: judgment, trust, and the relationships clients actually pay for. This paper makes the case for where that value lands and what it means for how firms staff and develop people.
How Agent-First Software Will Reshape Enterprise Strategy, Pricing, and Power
The per-seat pricing model that has defined enterprise software for twenty years is repricing, because the agent is becoming the user. What the vendor shift to agent-first software means for pricing, portfolio, and governance decisions, and why the next twelve to twenty-four months are the window to make them on your own timeline instead of the vendor's.
How Metered Pricing, FinOps Discipline, and Architecture Choices Will Decide Who Captures Enterprise AI Value Through 2027
Enterprise AI has been priced below what it costs to run. That's ending, and usage-based billing is the first visible sign. How metered pricing, cost discipline, and architecture choices will decide who captures AI's value through 2027.
"New York now asks one question on the form..."
"A startup CEO had been pitched AI transformation..."
"I Was Sure AI Wouldn't Take My Job. That Was the Problem."
Shorter pieces run on LinkedIn most weeks. Follow there.