The Battle for AI by Kai London
The contest over artificial intelligence is being fought over inputs and rules: who can obtain compute and data, whose models become defaults, and whose standards and regulations set the terms. The Battle for AI explains those dynamics in plain terms and translates them into decisions an enterprise AI programme actually has to make.
What the book covers
Where concentration sits
Compute, foundation models, tooling and specialist talent — and the practical consequences of depending on a small number of providers.
Regulatory divergence
Operating one AI estate under several regimes, with the EU AI Act as the most prescriptive reference point.
Assurance and certification
Using ISO/IEC 42001 and the NIST AI RMF to build management-system evidence rather than one-off assessments.
Model supply chain security
Provenance, weights integrity, fine-tuning data, evaluation and red-teaming.
Exit and substitution
Abstraction layers, portability testing and the real cost of changing model providers.
Board framing
Presenting AI dependence, regulatory exposure and control maturity in terms a board can act on.
The treatment is analytical and even-handed; it describes structures and incentives rather than taking a political position or forecasting outcomes.
Who it is for
Boards, CIOs and CTOs, CISOs, heads of AI, procurement leads and policy teams responsible for AI platform and supplier strategy.
About the author
Professor Kai London — CISSP, CISM.
An internationally recognised cybersecurity executive, board advisor and Founder & CEO of Quantum AI Systems Security LLC, writing at the convergence of AI, governance and operational resilience. Honorary Professor and Researcher at UCL.