The Board in the Machine

Mario Thomas
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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.

  1. Jun 21

    AI and the CEO: Choosing the Bets That Matter

    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 hardest. The dominant one is strategic: under the noise, the chief executive must choose the few bets that matter, because the value is won or lost in that choice, not in how much is spent. The operational duty is to change how the company actually works, since there is no credit for buying AI, only for redesigning the work around it. The market duty is to signal adoption without overclaiming, a line where company law and the regulators now reach the individual personally. And beneath all of it sits the leadership work AI barely touches: setting the aspiration, holding the line, and bearing the accountability. This episode is for chief executives, chairs, and the boards and directors who hold them to account, working out where AI belongs in the role and where it does not. AI changes who builds and who signals. It does not change who answers. Read the full article at mariothomas.com

    12 min

  2. Jun 14

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

    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, which is that sovereign capability is dearer, from the hidden cost of the convenient alternative, paid in lost control and invisible until it is tested. He explains why a compelled model recall is not an outage but the removal of a capability by a party the Board has no standing to appeal to, and sets out the questions a Board should be able to answer without a special exercise: which deployments depend on a single model, what the fallback is, and whether it would survive the specific event. This episode is for directors, chairs, and executives who need to know where the same exposure sits in their own organisation, and whether they chose it or defaulted into it. Read the full article at mariothomas.com

    11 min

  3. Jun 7

    AI and the CFO: Standing Behind the Numbers the Machine Produces

    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 work where a machine does the heavy lifting but a human still signs; the forecasting and capital decisions where AI sharpens the judgement without making the call; the shadow AI spreading across the business that the finance function cannot yet see; and the core of going concern, audit, and attestation that AI barely touches. Under the Companies Act and the FRC's 2024 Code, the signature on the accounts stays human. This episode is for CFOs, chairs, audit committee members, and the directors who rely on them, working out where AI belongs in the finance function and where it does not. AI changes who produces the numbers. It does not change who signs for them. Read the full article at mariothomas.com

    13 min

  4. May 31

    Ontologies and Knowledge Graphs: Why Structure is the Next Data Frontier

    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 over rather than merely summarise. Drawing on his own experience building an early knowledge graph from a regional newspaper archive in 1998, he shows why data quality and data structure answer two different questions, why the definitions encoded in a knowledge graph now carry the weight a chart of accounts has always carried, and why scalable proof under the FRC's 2024 Code and the Data (Use and Access) Act 2025 depends on structure rather than quality. This episode is for directors, chairs, and executives working out why their AI programmes stall, and what their data strategy assumes about structure. Read the full article at mariothomas.com

    17 min

  5. May 24

    AI and the Company Secretary: Operating the Boundary the Chair Polices

    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 board administration, the personal exposure created by AI disclosure under the FRC Code and the EU AI Act, and the bifurcation between secretaries with genuine AI capability and those with only accumulated credentials. The argument draws on the November 2024 GC100 minute-taking poll conducted with Norton Rose Fulbright, which found that 92% of 106 companies surveyed had not introduced AI to assist with minute-taking and 84% had no internal policy on its use; the McKinsey Global Board Survey 2024, which reported that 66% of directors say their boards have limited to no knowledge or experience with AI; PwC's 2025 Annual Corporate Directors Survey; and the 2026 Protiviti and BoardProspects Global Board Governance Survey. Against that evidence the episode frames the secretary's real choice through Mario's Six Board Concerns and the constitutional principle Cadbury named in 1992 and the FRC's 2024 Code carries forward. This episode is for company secretaries, chairs, and non-executive directors working through the operational reality of AI governance under the FRC Code and the EU AI Act. Read the full article at mariothomas.com

    16 min

  6. May 17

    Ethical AI: When the Model Imposes Values Your Organisation Did Not Choose

    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 Thomas — Chartered Director and Fellow of the Institute of Directors — examines the value system every foundation model carries into deployment, why the familiar controls only partly contain it, and the strategic choice a Board is left holding once it sees the problem clearly. The argument draws on the 2026 arXiv paper "Alignment Drift in Multimodal LLMs", which found large and persistent differences in how model families handle ethically sensitive questions; the 2025 withdrawal of a major model update after it became excessively agreeable; Stanford's Foundation Model Transparency Index, which scored major providers at roughly 40 out of 100; and the disclosure obligations of the EU AI Act. Against that evidence the episode sets out the real decision — accept, reject, or build — and frames it through the Six Board Concerns, the AI Sovereignty Trilemma, and the discipline of Minimum Lovable Governance. This episode is for Boards and directors who want to govern the ethics their AI runs deliberately, deployment by deployment, rather than inherit it by default. Read the full article at mariothomas.com

    15 min

  7. May 10

    The Headroom Argument: Why AI Efficiency Means More Compute, Not Less

    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 of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — examines why architectural efficiency expands AI compute demand rather than reducing it. The episode walks through the three forces that drive demand faster than per-unit cost falls, why every prior era of computing tells the same story, and how Boards should read efficiency news to fund the right opportunity rather than the wrong budget. The argument draws on the SubQ launch, the Anthropic-SpaceX Colossus 1 partnership, Mozilla's disclosure that Anthropic's Claude Mythos Preview identified twelve times as many Firefox vulnerabilities as Claude Opus 4.6 had found earlier in the year, Goldman Sachs' Powering the AI Era, Deloitte's TMT Predictions 2026, and Jevons' nineteenth-century observation that improving the efficiency of a resource raises its total consumption rather than lowering it. The takeaway is operational: the Six Board Concerns, AI Stages of Adoption, and the AI Sovereignty Trilemma frame the question, and Minimum Lovable Governance answers the design question that follows when cheaper inference accelerates probabilistic decision-making into the regulated decision space. This episode is for Boards and directors revisiting AI strategy in light of efficiency announcements and capacity commitments, and who want a capability-first framing rather than a budget-first one. Read the full article at mariothomas.com

    12 min

  8. May 3

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

    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 sits between those four safeguards and the systems most Boards have already approved. The episode walks through what the law actually asks for, why rule-based systems carry that capability on the surface and probabilistic systems do not, and where the gap will surface first when the first significant decision is contested. The argument draws on the Data (Use and Access) Act 2025, the new Articles 22A to 22D of the UK GDPR, the CJEU's SCHUFA judgment, the WP29 guidelines on automated decision-making and profiling endorsed by the EDPB, the IoD's *AI Governance in the Boardroom* (2025), and practitioner analyses from Travers Smith, Bird & Bird, Debevoise, and Alston & Bird. The takeaway is operational: Minimum Lovable Governance is the operating principle through which a duty like this one actually gets delivered, and the Board's job is not to build the capability but to refuse to approve systems that cannot deliver it. This episode is for Boards and directors in financial services, employment, insurance, and any consumer context where significant decisions are being made by automated processing, and who want a capability-first framing rather than a compliance checklist. Read the full article at mariothomas.com

    12 min
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About

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.

Information

  • Creator
    Mario Thomas
  • Years Active
    2K
  • Episodes
    13
  • Rating
    Clean
  • Copyright
    © 2026 Mario Thomas
  • Show Website
    The Board in the Machine