Economics of Intelligence
The full unit economics of models, agents, infrastructure, and accepted outcomes.
CLOUD ECONOMICS · AI COST · FINOPS
Making the economics of intelligence legible.
I examine what AI systems cost in dollars, watts, operational control, and defensible outcomes — then turn those hidden trade-offs into decisions leaders can use.
Explore the writing →Areas of inquiry
The questions beneath the AI bill.
Secure AI Adoption
The recurring cost of controls, evidence, oversight, and operational trust.
Technology & Society
How AI systems redistribute authority, risk, opportunity, and accountability.
Defence & Industry
The industrial capacity, energy, hardware, and institutions beneath compute.
Selected writing
Featured essay
The Lowest-Cost Context Strategy
Context is an allocation decision: select, compress, reuse or expand to deliver accepted AI results at the lowest fully loaded cost.
Read the essay →Selected writing
Recent investigations and arguments.
Caching does not automatically reduce AI cost.
Identical token rates can produce different bills. Cache lifetime and request cadence determine whether reuse actually pays.
Read →AI and the Future of Enterprise Software
AI may change how enterprises use software before it replaces the systems behind it — adoption still needs a business case.
Read →The Battle Over AI Values Has Already Started
Anthropic's effort to train Claude's character shows that the battle over AI values is already a question of power, accountability, and public trust.
Read →The Business Case for Less AI
AI creates value only when it improves an outcome that matters; otherwise it can automate waste, increase complexity, and make failure faster.
Read →Editorial series
The AI Cost Detective
Follow the evidence from AI activity to cost, control, and business value.
Open the case files →I work with leaders trying to understand what AI systems really cost — financially, operationally, and physically.