#ai-adoption

Moving from pilots to production, and what each stage actually demands.

Tagged articles (25)

A cluttered Victorian workshop bench at night, lit warm on the left by a brass desk lamp that falls across a large magnifying glass held above the bench, its lens throwing a bright circle onto a scatter of small brass instruments and tools where a single plain steel spanner sits sharply in focus at the centre, the elaborate ornamented devices around it left soft and unexamined, while cool blue light from a tall window picks out an empty patch of bench where objects have been cleared away, a visual reframe of the discipline of examining work honestly before choosing a tool, where the simplest instrument is often the right one and some work is best set aside altogether (Image generated by ChatGPT 5.5) — Not Everything Needs AI: The Questions That Come Before the Decision
12 July 2026 · 8 minute read
Boards keep being told to remake the business around AI. The real question is not which tool, but whether the work needs doing at all.

Aerial view of a landscape as clouds gradually clear, with sunlight revealing the underlying terrain, representing how a board-level diagnostic cuts through activity metrics to expose the organisation’s true AI position (Image generated by ChatGPT 5.2) — The Great Remaking: The Questions Boards Should Be Asking About Their AI Position
22 March 2026 · 10 minute read
Pilot counts and budget lines cannot tell a Board whether work is being remade. These questions, built on the data, talent and process loops, can.

A sleek modern MCP hub on a dark walnut executive desk, with cables of different vintages connecting to surrounding legacy hardware including a CRT monitor, blue LED glowing on the hub. (Image generated by ChatGPT 5.2) — MCP Explained: The Agent Infrastructure Standard Boards Need to Understand
1 March 2026 · 11 minute read
An agent that sees only the public internet is an expensive search engine. MCP connects agents to the proprietary systems that constitute advantage.

Aerial view of tidal sandbars at low tide with water channels carving new patterns through exposed sand, captured at golden hour to show shifting structure and continuous remaking of the coastline (Image generated by ChatGPT 5.2) — The Great Remaking: AI and the Race to Transform the Very Essence of Work
22 February 2026 · 10 minute read
Five technology revolutions changed organisations; none restructured the essence of work. AI does, and redesign beats bolt-on by four times in shareholder returns.

A corporate boardroom table overrun with small, friendly red robotic lobsters with glowing blue eyes, perched on laptops, documents, and coffee cups, with a city skyline visible through floor-to-ceiling windows and business charts displayed on a presentation screen (Image generated by ChatGPT 5.2) — The Inference Migration: What Consumer Agents Mean for Enterprise AI's Next Phase
8 February 2026 · 12 minute read
Consumers are already paying for always-on AI agents. That consumer-to-enterprise pipeline is the one ChatGPT ran, and it is running again.

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.

Skilled hands using a mallet and chisel to craft precise dovetail joints on a wooden frame in a traditional workshop, with quality woodworking tools laid out on a worn workbench, while a rough unfinished piece of wood with crude cuts sits nearby—same materials, different outcomes depending on capability and craft (Image generated by ChatGPT 5.2) — The AI Talent Bifurcation: Are You Building Skills or Collecting Credentials?
18 January 2026 · 8 minute read
Workers with real AI capability command premiums of 28-56%; those collecting credentials without it face a 29% penalty. The same split now reaches the Boardroom.

Empty leather executive chair at the head of a polished boardroom table, five luminous streaks of light converging across the table surface toward an open briefing document and pen at the centre, stack of reports to one side. Dawn light breaks through clouds over a city skyline visible through floor-to-ceiling windows, casting warm golden and cool blue reflections across the scene (Image generated by ChatGPT 5.2) — Return-to-Work Briefing: Five Forces Reshaping the Board AI Agenda in 2026
4 January 2026 · 10 minute read
Five forces shape the Board's AI agenda in 2026, led by AI embedding into the enterprise faster than it can be governed. None is distant.

A sleek white humanoid robot sits among business executives in suits around a polished boardroom table, with documents and laptops before them and a city skyline bathed in golden sunrise light visible through floor-to-ceiling windows, symbolising AI's transition from experimental technology to strategic infrastructure with a seat at the Board table. (Image generated by ChatGPT 5.2) — The Year AI Grew Up: Five Inflections That Changed the Strategic Calculus in 2025
30 December 2025 · 14 minute read
In 2025 Boards stopped asking what AI could do and started treating it as strategic infrastructure investment. Five connected inflections drove that shift.

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.

Modern corporate boardroom scene split between thoughtful business executives on the left working with documents representing human-in-the-loop decision-making, and multiple glowing AI agent representations on the right operating autonomously in parallel, symbolising the strategic choice about where to transfer agency from humans to machines (Image generated by ChatGPT 5) — Agentic AI: Strip Away the Hype and Understand the Real Strategic Choice
2 November 2025 · 17 minute read
Agentic AI is this year's poster child, and most of the confusion is about what agents actually do. The Board's decision is strategic, not technical.

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#ai-adoption

Tagged articles (25)

Filter articles

Not Everything Needs AI: The Questions That Come Before the Decision

The Great Remaking: The Questions Boards Should Be Asking About Their AI Position

MCP Explained: The Agent Infrastructure Standard Boards Need to Understand

The Great Remaking: AI and the Race to Transform the Very Essence of Work

The Inference Migration: What Consumer Agents Mean for Enterprise AI's Next Phase

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

The AI Talent Bifurcation: Are You Building Skills or Collecting Credentials?

Return-to-Work Briefing: Five Forces Reshaping the Board AI Agenda in 2026

The Year AI Grew Up: Five Inflections That Changed the Strategic Calculus in 2025

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

The Accountability Gap: When AI Delegation Meets Human Responsibility

Agentic AI: Strip Away the Hype and Understand the Real Strategic Choice

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