Browsing All Posts filed under »Skills«

AI Could Win. The Financiers Could Still Lose.

August 13, 2026

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What a rollercoaster ride AI is proving to be. Its machine-speed DNA has already turned the assimilation of raw data and accumulated human knowledge into information available almost instantly to everyone, commoditising knowledge, if not necessarily judgement. In doing so, AI is collapsing innovation time horizons, rewriting productivity assumptions and disrupting almost every sector. Not […]

Does Zuckerberg’s AI Vision Have a Blind Spot?

August 10, 2026

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Mark Zuckerberg’s latest essay on Meta’s AI strategy deserves more attention than a typical technology announcement. His argument is not simply that AI should become cheaper, more capable and more widely available. It is that powerful AI should be distributed to billions of individuals as a deliberate counterweight to the power of governments, corporations and […]

Are Universities Educating Students for a World That Is Disappearing?

August 8, 2026

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Universities have traditionally prepared people for a world in which knowledge was scarce, expertise took years to accumulate and the ability to recall, analyse and apply that knowledge differentiated the graduate from everyone else. AI fundamentally challenges that model. Knowledge today is becoming abundant. Analysis that once required days can increasingly be completed in minutes. […]

When Compliance Forgets Its Purpose

August 2, 2026

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There is an old saying that bureaucracy expands to consume the time available for its administration. Increasingly that feels less like satire and more like a business model. No sensible executive disputes the need for Know Your Customer (KYC) or Anti-Money Laundering (AML) checks and or controls. They are essential safeguards against fraud, organised crime […]

Beyond Code Assurance – Why AI Regulation Must Assure Decisions as Well as Software

July 26, 2026

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For decades, software assurance has been built on a relatively stable premise. If engineers correctly implement a well defined specification and that implementation can be tested, reviewed and verified, confidence follows. The question stakeholders and particularly regulators have traditionally sought to answer is straightforward ‘Did the engineers implement the specification correctly?’ That model served us […]

The Pygmalion Fallacy

July 25, 2026

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Listening to the narratives from OpenAI CEO Sam Altman following the recent headlining incident (or canny marketing ploy!) I get a sense that like Pygmalion, the mythical sculptor who fell in love with the statue he had carved, today’s AI pioneers risk becoming captivated by their own creation. It begs the question why do we […]

The Accountability Gap at the Heart of AI

July 22, 2026

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Before a nation deploys a new weapon, Article 36 of Additional Protocol I to the Geneva Conventions requires it to determine whether that weapon would be lawful under international law. Should AI face its own Article 36 moment?  It is a simple but powerful principle, before delegating the ability to cause significant harm, independent scrutiny […]

Has AI Made the Annual Cyber Insurance Review Obsolete?

July 20, 2026

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Following an article on Cyber Insurance in the Financial Times today ‘Growing threats prompt rethink over cyber insurance’ I felt a moment of déjà vu, as I reflected on a piece I wrote just over 10 years ago to the day Cyber Insurance – Let the dance begin. In which I predicted the disruption to […]

The Executive Mindset Challenge in the Age of Machine Speed Intelligence

July 12, 2026

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Further to my earlier piece, The Adaptation Gap, several readers argued that leaders have always had to navigate technological change and questioned whether AI is truly different. My view is that AI is truly different. For decades, executive leadership was rewarded for consistency. Stable assumptions, proven operating models and incremental change produced predictable outcomes. Experience […]

The Great AI Enclosure, Are Organisations Giving Away Their Intelligence?

July 12, 2026

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Truth be told despite the view that History has a habit of repeating itself, it does not. However this does not preclude us from drawing lessons from it. In the 18th and 19th centuries, landowners enclosed common land, transforming shared resources into private estates. Wealth accumulated to those who controlled the land. Everyone else paid […]

The Adaptation Gap – AI, Compressed Time & the End of Predictable Change

July 11, 2026

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For most of modern history, organisations have operated in a world of largely linear change. Technology evolved in relatively predictable increments, threats emerged at a pace that allowed analysis and response, and strategic planning assumed that tomorrow would resemble today, only slightly different. Artificial intelligence is disrupting that assumption. The significance of AI is not […]

AI & Financial Stability – The Industrialisation of Cyber Risk

July 8, 2026

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Yet again the news is awash with AI, Cyber Risk and Financial Stability FUD (fear, uncertainty doubt) but to cut through the verbiage, the attack path really has not changed. Whilst it is fair to say regulators are right to be worried about AI enabled cyber risk in financial services, the concern needs to be […]

Digital Sovereignty’s AI Conundrum – Who Conditions the Intelligence?

July 5, 2026

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A follow on thought stimulated by my missive of yesterday on America’s AI Doctrine has me considering the connection and implications on digital sovereignty. For organisations concerned with digital sovereignty, I feel the most challenging growing question is no longer simply one of residency, control or jurisdiction. It is who conditions the intelligence that thinks, […]

America’s AI Doctrine – Move Fast, Until the Pentagon Notices

July 4, 2026

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Following recent announcements from the US government, the US approach to AI is beginning to resemble a constitutional magic trick. Domestically, Washington wants to sweep away onerous state level safeguards in the name of innovation and competative advantage. The message to Silicon Valley is reassuringly simple; build, scale, dominate and try not to let individual […]

AI Distillation, Competitive Shortcut or Strategic Dead End?

June 28, 2026

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Recent news reports Anthropic alleges that operators linked to Alibaba used nearly 25,000 accounts and 28.8 million interactions with Claude to accelerate competing models towards ‘Mythos-class’ capabilities. The allegation remains contested and has not been independently proven but it illustrates both the appeal and the limitations of large scale model distillation. (Reuters)⁠ Large scale illicit […]