#ai-risk

What can go wrong with AI, and how a Board sees it coming.

Tagged articles (10)

A modern open-plan office swallowed by dense fog, where a lone figure sits upright at a desk in the right of the frame, still working, his screens of charts and messages crisp at arm's length while the desks, monitors, and lamps of colleagues dissolve into white haze behind him, a visual rendering of the mental fog the research describes, where the person supervising the machine's output keeps working as clarity recedes, and the cost no business case recorded is paid in human attention (Image generated by ChatGPT 5.6) — The Balancing Item: The AI Oversight Cost Your Business Case Never Priced
26 July 2026 · 10 minute read
Every AI business case counts the hours saved. Almost none counts the oversight hours added, and people are silently absorbing the difference.

A human hand pressed flat against a dark glass barrier at night, reaching toward an illuminated toggle switch mounted in a glass housing on the far side of the glass, out of reach, with a warm-lit city skyline glowing across water beyond, a visual reframe of a control that is visible but held elsewhere, behind a barrier the hand cannot cross (Image generated by ChatGPT 5.4) — The AI Sovereignty Trilemma: When a Frontier Model Vanishes and Reality Bites
14 June 2026 · 10 minute read
The visible cost of sovereignty deters Boards. The hidden cost of the convenient alternative was never shown, and that is the cost 12 June presented.

A polished walnut boardroom table photographed at eye level, with a tan folder embossed 'System Approved' resting flat on the left and a white envelope marked 'Notice of Contest' standing upright in a brass holder on the right. Empty leather chairs line the far side of the table; cold morning light falls through tall windows behind, illuminating the envelope sharply (Image generated by ChatGPT 5) — The Reasoning Gap: The Capability the Law Now Demands of Boards
3 May 2026 · 11 minute read
UK law now requires four safeguards for solely automated decisions. Most Boards have approved probabilistic systems that cannot deliver them in operation.

My desktop setup: reMarkable Paper Pro for ideas, MacBook Air M2, a headless NVIDIA DGX Spark handling the heavy lifting, and the tools behind the experiment — Amazon Kiro, Claude Code, and a terminal window. Plus the late-night lighting that makes it feel like coding in the 1980s again. — The Verification Premium: What Classical Training Reveals About AI Coding Costs
25 January 2026 · 13 minute read
AI coding tools amplify the expertise gap rather than closing it: senior developers capture twice the gains. The verification premium is the cost nobody budgets.

A glass-walled boardroom at dusk showing executives reviewing glowing data visualisations, with the window reflection revealing fragmented metrics and red indicators to illustrate the gap between perceived and actual AI maturity (Image generated by ChatGPT 5) — The AI Maturity Mirage: Diagnosing the Gap Between Investment and Readiness
7 December 2025 · 11 minute read
Boards overestimate AI maturity by counting tools and pilots rather than capability. Three patterns create the illusion, and each can be diagnosed before it misleads.

Senior executives observing a fast-moving automated conveyor belt of AI-generated business reports in a modern corporate office, with unused quality control tools in the foreground illustrating the AI accountability gap (Image generated by ChatGPT 5) — The Accountability Gap: When AI Delegation Meets Human Responsibility
16 November 2025 · 15 minute read
Organisations are transferring decision-making agency to AI while accountability stays with people, and approving deployments without the verification capability that accountability needs.

A corporate office environment showing contrasting scenes: shadowy figures using AI tools in darkness on one side, while the other shows transparent, well-lit collaborative AI usage, symbolising the transformation from shadow AI to governed innovation (Image generated by AI) — Shadow AI and the Case for an AI Amnesty
21 September 2025 · 15 minute read
Shadow AI is surging and most employees would use AI tools without permission. An AI amnesty turns that hidden risk into governed, employee-validated innovation.

Business executives in suits stand on a glass platform at a crossroads, overlooking three diverging roads leading to a classical European city in soft blue light, a futuristic American skyline with glowing data streams, and a Chinese metropolis with red-toned interconnected bridges, symbolising transparency, innovation, and integration. (Image generated by ChatGPT 5) — AI Sovereignty: A Board's Guide to Navigating Conflicting National Agendas
7 September 2025 · 15 minute read
AI governance is fragmenting into incompatible systems: Europe's transparency, America's scale, China's control. Boards can no longer serve all three; they have to choose.

A dramatic split-screen view of a giant clock mechanism being transformed by autonomous drones. The left side shows rusted, tangled gears and chains representing legacy technical debt, while the right side displays the same clock transformed into a gleaming holographic interface with digital displays and flowing data streams. Tiny maintenance drones work systematically between both sides, symbolising how agentic AI transforms outdated infrastructure into modern, future-ready architectures. (Image generated by ChatGPT 4o). — How Agentic AI Turns Your Biggest Tech Problem into Competitive Advantage
3 August 2025 · 11 minute read
The legacy estate that constrains agentic AI is also its largest opportunity. Retiring technical debt is what clears the path for autonomous systems.

A picture of a hand attempting to place the wrong shaped block into the hole in a childs toy signifying choosing the wrong LLM (Image generated by ChatGPT 4o). — Selecting your enterprise LLM: Moving beyond the hype to make the right choice
3 January 2025 · 10 minute read
With well over a hundred language models available, choosing one is a question of fit, not headlines: match the model to the task.

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#ai-risk

Tagged articles (10)

Filter articles

The Balancing Item: The AI Oversight Cost Your Business Case Never Priced

The AI Sovereignty Trilemma: When a Frontier Model Vanishes and Reality Bites

The Reasoning Gap: The Capability the Law Now Demands of Boards

The Verification Premium: What Classical Training Reveals About AI Coding Costs

The AI Maturity Mirage: Diagnosing the Gap Between Investment and Readiness

The Accountability Gap: When AI Delegation Meets Human Responsibility

Shadow AI and the Case for an AI Amnesty

AI Sovereignty: A Board's Guide to Navigating Conflicting National Agendas

How Agentic AI Turns Your Biggest Tech Problem into Competitive Advantage

Selecting your enterprise LLM: Moving beyond the hype to make the right choice

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