
C-suite executive across FTSE 100 and Fortune 500 organisations. Author of the KEV Governance Framework on structural verification absence in enterprise AI. I write about what happens when organisations trust AI without governing it.
| Platform | Pricing | Only free issues | Publishes | Daily | |
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| Issues | 9 | Founded | 2 months ago | Last Issue | 7 days ago |
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Beneath the debate over AI capability, infrastructure and public-market expectations sits a quieter national risk: the state steps in, wraps the technology in national-security framing and public equity, and inadvertently builds a liability...
The market risk in the AI market is not that the models are overhyped or that the boom will cool. It is that the industry sells reasoning upstream and exports liability downstream: accountability arbitrage moving from contract into law and...
Anthropic’s Claude Mythos Preview finds zero-day vulnerabilities in the Linux kernel. It writes working privilege-escalation exploits. It reasons through 32-step corporate network attack simulations. The UK’s AI Security Institute, a resear...
Enterprise AI failure is not invisible. It is legible across boards, audit trails, capital allocation and legal exposure. The reason it is rarely stated plainly is not lack of evidence. It is the economics of silence.
Boa...
Most organisations think they are adopting AI. In practice, many are entering a structural dependency pathway that erodes verification, shifts authority and narrows the ability to steer. This essay maps that cascade and sets out...
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The writers behind this newsletter.
Rendering AI architecture legible as liability: from V = 0 and J = 0, through J = 1, to P = 1. I developed the KEV framework to diagnose structural verification absence in enterprise AI and define the conditions for institutional defensibility.
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