The Board in the Machine is the audio version of Mario Thomas's articles published at mariothomas.com, written for Boards and executives navigating the governance and strategic implications of AI and emerging technology.
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On 2 August 2026, the EU AI Act's rules for standalone high-risk systems were supposed to take effect. They will not. Six days before the deadline, the EU brought an amendment into force deferring those obligations to December 2027, because the standards and implementation machinery needed to make them workable were not ready. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, examines what the deferral reveals about any Board whose AI governance was built around a regulatory date. A governance programme that exists because a
Every AI business case counts the hours saved. Almost none counts the hours added: the reviewing, correcting, and supervising that AI outputs demand before anyone can rely on them. That labour is real, and in most organisations it is absorbed silently by people on top of their existing roles. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, examines the cost the True Investment Profile predicted and Boards have not priced. Research published in March 2026, surveying nearly one and a half thousand full-time workers at large
Teams that deploy AI save the equivalent of five hours per person per week, and most of that time is then spent on non-value-added tasks. The saving is real. What happens to it next is the problem, and it is a problem that belongs to the Board. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, returns to the Redeployment Dividend, the argument that AI's real prize is releasing intellectual capital from undifferentiated work rather than cutting headcount. The evidence now shows what happens when that dividend is left ungovern
As much as a fifth of an enterprise application estate turns out to be no longer useful once someone finally asks who still uses it. The same is true of the work itself, and it is the reason the first question about AI is never which model to choose. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, takes up the question left open by The Great Remaking. If the business is being remade around AI, what exactly gets remade, what gets remade with a model, and what is left alone. The mandate is settled. The judgement inside it is
Most chief executives report no revenue gain and no cost saving from AI, while a fifth of organisations capture nearly three quarters of the value. That gap, between spending on AI and choosing well, is the working condition of the modern chief executive. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — works through what AI changes about the chief executive's role, and what it leaves exactly where it was. The conditions of the work have changed. The duties have not. He sorts the role into the duties AI now presses hardes
On 12 June 2026, a single government directive forced a leading AI provider to withdraw two frontier models from every customer overnight, including organisations the order was never aimed at. For anyone who had built a process on those models, the capability did not degrade. It disappeared. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — takes the AI Sovereignty Trilemma he set out last year and shows it resolving from a structural argument into a dated, documented event. He separates the visible cost of sovereignty, wh
Only a fifth of finance leaders judge their function ready for AI, yet most already treat it as central to how finance will work. That gap, between commitment and readiness, is the working condition of the modern CFO. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — works through what AI changes about the finance chief's role, and what it leaves exactly where it was. The doing of the work can move to a machine. The accountability for it cannot. He sorts AI's effect on the role into four honest groups: the routine numbers
Most organisations have made their data reliable. Far fewer have made it explain itself, and that distinction is becoming the one that separates organisations that can reason with AI from those that can only retrieve with it. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — argues that the next frontier in creating durable AI value is structure: the ontologies and knowledge graphs that make the relationships between an organisation's customers, contracts, suppliers, and decisions explicit enough for a machine to reason ov
The information environment directors now use to make decisions is increasingly composed by AI systems whose framing decisions are not transparent. The company secretary is the only person with line of sight to the difference, and increasingly even the secretary cannot fully see it. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — examines how AI is remaking the company secretary's role at the operational seam between board administration and the company's disclosure obligations. He walks through four failure modes inside
An AI model is in production somewhere in the organisation, handling a difficult decision: a customer complaint, a redundancy query, a medical underwriter reviewing a claim. The model settles what to refuse, how much candour the moment can bear, where the customer's interest gives way to the policy. It does this the same way each time, because the judgement was made long before the question arrived — not by the organisation running the model, but by the provider that built it, for a global product, before the organisation signed up to use it. In this episode of The Board in the Machine, Mario
A new AI architecture lands on 5 May. Subquadratic launches SubQ: a 12-million-token context window on a sub-quadratic sparse-attention architecture that reduces attention compute by roughly 1,000 times at full context. The interesting question is not whether AI is about to get cheaper. It is what efficiency news actually says about compute demand. The day after SubQ launched, Anthropic announced a partnership at SpaceX's Colossus 1 facility adding more than 300MW of new capacity and over 220,000 NVIDIA GPUs. Both kinds of news end in the same place: more inference, not less. In this episode o
A short statutory instrument lands on 12 May. It directs the Information Commissioner to prepare a statutory code on AI and automated decision-making. The interesting question is not what the code will say. It is what the law already requires. Since 5 February, UK law has required four safeguards for any significant decision taken solely by automated processing - information, representations, human intervention, and the right to contest. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — examines the capability gap that sit
Chairs remain accountable for the Board's effectiveness. They are no longer fully in control of how decisions are being formed. AI is remaking both the Board's own work and the work the Board governs at the same time. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — examines how AI has changed the execution of the chair's existing responsibilities. The episode walks through the two states of the duality the chair now sits between: AI in the preparation of board materials, and AI in the operations of the business the Board
Only 31% of CFOs are satisfied with their AI outcomes, yet that figure rises to over 60% among CFOs whose organisations sit at the top of the AI adoption curve. Satisfaction tracks scale, and the gap is not about execution. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — explains why AI capital outgrows the CFO's conventional measurement instruments. Listeners will come away understanding why AI capital appreciates rather than depreciates through use, why its returns accumulate across functions that did not fund them, an
Boards have always made decisions under incomplete information. What has changed is not the volume of what reaches the table — it is the quality of what the Board can see before the vote is taken. Most Boards still rely on instruments built for a slower world. This episode of The Board in the Machine, with Mario Thomas — Chartered Director and Fellow of the Institute of Directors, introduces a framework of four indicator types: lagging, leading, predictive, and reasoned. Listeners will leave with a clear way to assess what their own Board is currently using to make major decisions, and what is
Only 33% of boards feel equipped to govern AI, yet AI systems are making millions of decisions per second on their behalf. The gap between the volume of information boards must process and the quality of assurance they receive has never been wider. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — explains what automated reasoning is and why it matters for board-level governance. He distinguishes it clearly from AI and predictive analytics, showing how formal logic and mathematical proof offer boards a categorically differ
Two-thirds of boards report limited to no knowledge or experience with AI. Yet most governance guidance stops at naming the gap. This episode defines what closes it. In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — sets out what directorial AI literacy actually consists of. Not technical fluency. Not a two-day awareness course. But four specific capacities that allow a director to interrogate maturity claims, assess whether governance is operational or merely presentational, and exercise genuinely independent judgement on
Pilot counts, AI budget lines, the existence of an AI strategy, and chief AI officer appointments measure whether money is being spent and projects are running. None of them tells a Board whether the organisation is remaking its work, which is the only thing that determines competitive position when the essence of work itself is changing. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, closes The Great Remaking series with a diagnostic built on the three compounding loops introduced in the earlier parts: data, talent, and
Every previous technology wave rewarded fast followers: let early movers absorb the risk, observe what works, then acquire or build the equivalent at lower cost. The Great Remaking does not, because the source of advantage is not a product that can be studied and replicated. It is operational accumulation, built only through time spent doing the work differently. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, examines why the gap between organisations redesigning their work around AI and those still augmenting it keeps wi
AI is not remaking the four dimensions of work, thinking, deciding, creating, and delivering, at the same speed, through the same mechanisms, or toward the same end state. Treating them as one strategic question is most organisations' mistake. A generic approach across all four is not a strategy; it is an assumption. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, makes the case for the asymmetry at the heart of The Great Remaking. He traces each dimension along the trajectory from augmentation through restructuring to sub
An AI agent that can see only the public internet is no more useful to a business than a very expensive search engine. Generic inputs produce generic outputs. The intelligence is not the constraint; the connectivity is. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, explains Model Context Protocol, the infrastructure standard that connects agents to the proprietary systems that constitute competitive advantage. He uses the USB analogy: one standardised interface replacing a bespoke integration for every agent and system,
Five technology revolutions changed how organisations operate, but none of them restructured the essence of work itself. AI does, and the organisations that redesign how work is structured are already pulling away from those that bolt AI onto existing processes. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, defines the four irreducible dimensions of work that AI is remaking: how organisations think, decide, create, and deliver. He explains why this transformation is different in kind from the desktop, internet, web, mobi
Individuals are now paying thousands of pounds a year for personal AI agents: always-on systems that learn their workflows and encode their decision-making patterns. That capability belongs to the person who built and trained it, not to any employer, and it goes wherever they go. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, revisits the argument he made in June 2024, that organisations capturing worker expertise in their AI models would owe those workers a share of the ongoing value. Personal agents invert that assumpti
The demand signal for AI's next infrastructure phase sits in what consumers are voluntarily paying for always-on assistance. Heavy users of OpenClaw, an open-source agent that passed 100,000 GitHub stars within weeks of launch, report spending $10 to $25 a day to keep a personal agent running continuously: $3,650 to $9,125 a year, more than their combined entertainment subscriptions. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, examines the inference migration: the shift from episodic, query-response AI to persistent ag
Boards steward buildings, machinery, and vehicles with condition assessments, named owners, maintenance budgets, and impairment tests. Data, which may now contribute more to enterprise value than the buildings that house it, receives none of them. Ownership fragments, quality degrades undetected, and nobody asks whether a dataset is fit for the purposes now being asked of it. A physical asset treated that way would be condemned. In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, examines why data is invisible to governance an
