The AI bill has reached the CFO
As AI moves from experimentation into recurring operating cost, executives need a clearer way to decide which workflows deserve which level of intelligence. The next advantage will not come from using the strongest model everywhere. It will come from allocating intelligence according to value, risk, exposure, and proof.
Efficient AI is now an operating discipline
Most firms are still deploying frontier AI where smaller, cheaper, and more private models would do the job with no material loss in output. The next advantage will not come from buying the smartest model for every task. It will come from allocating intelligence with the same discipline used to allocate capital, labor, and plant capacity.
Hidden in plain sight: Glasswing Implications
AI is making hidden weaknesses easier to find, faster to exploit, and harder to ignore. This brief explains why leaders should start with bounded, private AI deployments such as internal copilots, engineering knowledge, document retrieval, maintenance support, code review, incident triage, and planning before touching live operational systems.