
Running AI Models Locally: When It Makes Sense and When It Does Not
Three reasons that justify local inference, three that do not, and an honest account of the capability gap. Plus the hybrid setup most teams end up with.

Three reasons that justify local inference, three that do not, and an honest account of the capability gap. Plus the hybrid setup most teams end up with.

Tier-one triage is being automated, which removes the traditional entry point. What is not being automated, the new speciality AI created, and what to invest in.

AI is most impressive where you cannot check it and least impressive where you can. Six situations where reaching for it costs more than doing the work yourself.

Standardised tool protocols turn fifty integrations into fifteen. They also remove the friction that used to function as an access review. What to do about that.

Banning AI tools moves usage onto personal accounts where you have no visibility. What workable governance looks like when you accept it is already happening.

Quantum key distribution is physics, post-quantum cryptography is mathematics, and they answer different questions. Why PQC is the general path and QKD is a niche tool.

CUDA lock-in is four layers, not one, and they differ hugely in portability. What is genuinely stuck, what is not, and how to price the alternative.

Generated prose is fluent and anonymous because models produce the typical continuation and voice is the atypical one. What preserves a voice in practice.

A sensor shipped in 2026 will outlive RSA. Why signature sizes break radio budgets, which primitives fit, and what to demand from vendors now.

Agents have no single correct path, succeed partially, and behave differently run to run. What to measure instead of accuracy, and why failure shape matters most.