About
Allocation Review studies the economics of useful intelligence.
The publication is for people making decisions about capital, labor, technology, and organizational attention as AI becomes a practical input to production.
The core question is simple: when machine intelligence becomes cheaper and more capable, what should a rational organization allocate differently?
The answer is rarely captured by model rankings or token prices alone. It depends on review time, failure modes, workflow redesign, the cost of errors, and the opportunity cost of human attention.
The Allocation Review starts as a minimalist publication and can grow into a research database over time. Each essay should ideally add to a stock of reusable observations rather than vanish into the archive.