Tagged with: #ai-adoption

The informational asymmetry between management and the Board has always been the central tension of governance. For AI, it is no longer manageable through existing structural checks; the distance is not merely larger than previous technology waves, it is qualitatively different. A director must be able to interrogate maturity claims, assess whether governance is operational or merely presentational, and identify which AI risks are personal development challenges and which are failures of oversight itself. The IoD has formally named the gap. This article defines what closing it actually requires: not technical fluency, but specific capacities for independent evaluation mapped against the governance obligations every director carries, and a diagnostic framework for identifying exactly where the work needs to start.

Every previous technology wave rewarded fast followers. Identify what the leaders built, acquire or replicate it, close the gap. That logic fails for The Great Remaking — not because AI is different technology, but because the source of advantage is not a product that can be studied and replicated. It is operational accumulation: proprietary data shaped by AI-integrated workflows, human capability developed through sustained practice, and institutional knowledge embedded through iterative redesign. None of it can be purchased. All of it compounds with time. This article explains the three self-reinforcing loops that make the gap harder to close with every month an organisation defers the decision to redesign.

An AI agent that can only see the public internet is no more useful to an organisation’s business than a very expensive search engine. The intelligence is not the constraint. The connectivity is. Model Context Protocol — MCP — is the infrastructure standard that connects agents to the proprietary data, systems, and processes that constitute real competitive advantage. This article explains what MCP is, why the major enterprise vendors have already converged on it, and the governance questions Boards should be asking before their technology teams answer them by default.

Over five decades, five technology revolutions each transformed organisations, but none restructured the essence of work itself. AI does — remaking how organisations think, decide, create, and deliver. The gap between bolting AI onto existing processes and redesigning how work is structured is already producing four times higher total shareholder returns for those who commit. This article defines what the essence of work actually is, why AI is remaking all four dimensions at different speeds, and why The Great Remaking is a race with compounding consequences that late movers cannot close through incremental catch-up.

Consumers are voluntarily paying $3,650–9,125 annually for always-on AI agents — more than their combined entertainment subscriptions. When ChatGPT followed exactly this pipeline from consumer novelty to shadow enterprise adoption within three years, most organisations were caught unprepared. Agentic AI is now running the same cycle. This article examines the inference migration — the architectural shift from episodic queries to always-on agents, why the determinism objection is narrower than Boards assume, the shadow agentic AI wave already forming, and why governance frameworks established in 2026 will determine which organisations capture agentic value and which scramble to retrofit controls on adoption already underway.

AI coding tools don’t close the expertise gap — they amplify it. Research shows senior developers capture twice the productivity gains of juniors, while a randomised controlled trial found experienced developers actually worked slower with AI than without, the hidden taxes of verification offsetting initial speed. This article explores the verification premium — and why Boards should ask not “can we use AI to write code cheaper?” but “do we have the verification capability to ensure AI-generated code creates value rather than debt?”

Workers with genuine AI capabilities command premiums of 28-56%; those targeting AI-exposed roles without substantive skill development face a 29% earnings penalty. The same roles, opposite outcomes, and the difference lies in the quality of capability investment, not access to tools. This article examines why this bifurcation extends to the Boardroom itself, where the IoD now positions AI competence as a core NED responsibility. For Boards, the strategic question becomes: is your workforce developing verification and judgement, or just collecting certifications — and can you tell the difference?

AI’s primary value isn’t replacing people, it’s releasing the intellectual capital trapped in undifferentiated work. Yet in many Boardrooms, workforce reduction remains the default success metric for AI initiatives. This article makes the case for the redeployment dividend: redirecting freed human capacity toward outcome-impacting work, complex judgement, and innovation that AI cannot replicate. For Boards, the strategic question shifts from “how many roles disappear?” to “what valuable work aren’t we doing because our best people are buried in tasks they don’t need to do?”

As we return to our desks for 2026, the AI forces demanding attention aren’t distant possibilities but strategic choices already in motion. AI is embedding itself into enterprise applications faster than organisations can govern it, whilst simultaneously eroding the human capabilities needed to oversee it. In this article I examine five of these forces — AI’s shift from content generation to decision support, inference economics reshaping deployment strategy, embodied AI introducing physical-world liability, verification gaps exposing governance failures, and AI governance professionalising into systematic capability.

In 2025 Boardrooms saw a collective shift in how they thought about AI’s role. What they spent 2023 and 2024 reacting to became a question of strategic investment in organisational infrastructure. They moved from “what can it do?” and “should we use it?” to “how do we navigate competing pressures and make this core to how we operate?” In this article, I examine the five interconnected inflections that drove this shift — and what they mean for Boards entering 2026.