Mario Thomas

Monthly Newsletter | March 2026

The Forces Remaking How Organisations Work

February brought four articles that, taken together, describe a single underlying pressure: the gap between how organisations govern their most important assets and how fast those assets are transforming. The evidence is no longer directional — it is measurable, and the cost of inaction is compounding.

This month's collection moves through four interconnected themes. We begin with data — the invisible asset that sits outside the balance sheet yet underpins every AI initiative — and examine why Boards must extend stewardship disciplines to assets that accounting standards, for now, pretend don't exist. We then turn to the infrastructure shift already underway in consumer markets, where individuals are voluntarily spending more on always-on AI agents than on their entire entertainment stack, and ask what that demand signal means for enterprise governance in 2026. From there, we explore what happens when the most capable AI in your organisation belongs not to the company but to the individual who walks in with it each morning — a governance inversion with no contractual framework yet written to address it. We close with the signature piece of the month.

Across these four articles, a pattern emerges: the organisations pulling ahead are those that have moved from augmenting existing processes to redesigning how work is actually structured. BCG's February 2026 research puts the divergence in stark terms — only 5% of organisations have achieved substantial financial gains from AI, but that group shows three-year total shareholder returns roughly four times higher than laggards. The window for meaningful participation in what I am calling The Great Remaking is narrowing, and it is narrowing unevenly.

If your time is limited, I particularly recommend The Great Remaking: AI and the Race to Transform the Very Essence of Work. It is the most ambitious piece I have published in some time — an attempt to define precisely what is being restructured, across which dimensions, at what speed, and why late movers cannot close the gap through incremental catch-up. If you read only one article this month, make it this one.

How is your organisation approaching the distinction between augmenting existing processes and genuinely redesigning how work is structured? I am curious whether Boards are yet treating that distinction as a strategic question — or whether it remains something delegated below the governance line.

-Mario

This Month's Insight

State-of-the-art industrial robotic machinery installed in a grand but structurally compromised room with crumbling ornate plaster walls, peeling paint, arched windows letting in natural light, and debris scattered across a deteriorating parquet floor — a visual metaphor for investing in advanced AI capabilities without addressing underlying data quality foundations

The Invisible Asset: Why Boards Should Govern Data Like It's on the Balance Sheet

Published 1 February 2026 | 8 minute read

Boards apply rigorous stewardship to physical assets — regular condition assessments, clear ownership, maintenance investment, impairment testing. Data assets, which increasingly drive competitive advantage, receive none of these disciplines. This article argues for balance-sheet thinking applied to data, using the AI Centre of Excellence as the governance vehicle.

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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

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

Published 8 February 2026 | 9 minute read

Consumers are voluntarily paying $3,650–9,125 annually for always-on AI agents — more than their combined entertainment subscriptions. The ChatGPT precedent followed exactly this pipeline from consumer novelty to shadow enterprise adoption within three years. Agentic AI is now running the same cycle, and 2026 is the narrow window to establish governance before the shadow agentic wave arrives.

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An open-plan office where several desks are occupied by translucent blue silhouettes representing portable personal AI capability, while one or two real people work at other desks — visualising the talent bifurcation between those who own augmented capability infrastructure and those who don't

The Personal Agent Economy: When Your Best AI Isn't On Your Balance Sheet

Published 15 February 2026 | 8 minute read

Individuals are already investing thousands annually in always-on agents that encode their professional judgement, domain expertise, and decision-making patterns — capability that belongs to them, not their employer. This article explores what happens when the most valuable AI in your organisation walks in with the employee and walks out when they leave, and why the IP boundaries and contractual frameworks needed to navigate this shift don't yet exist.

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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

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

Published 22 February 2026 | 11 minute read

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, and late movers cannot close it through incremental catch-up.

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