AI's Role in Shaping Board Composition

To perform their duties responsibly, boards must function as Humans + AI. Adopting new working structures and evolved governance structures incorporating AI can lead to substantial performance improvement. Much of my current work with boards is on strategic framing for AI and in AI-augmented decision-making, but there is considerably more potential. A very nice HBR piece brings real-world insights to bear. The first finding was that directors and chairs largely failed to recognize the value and potential of AI in their work. However still many boards and directors are using AI in useful ways. MEETING PREPARATION Directors who use LLMs reported significantly improved understanding of agenda items and reduced workload. One director across five Danish boards uses AI to structure presentations and run simulations; another in Switzerland uses it to refine board discussion questions from the board book. SCENARIO PLANNING GenAI, used well, can be an excellent tool for rapid scenario planning. One board in Austria used an LLM to analyze geopolitical risk in an acquisition proposal. This led to it rejecting the deal, and resulted in management attaching scenario analyses to future proposals. ADDITIONAL PERSPECTIVES Boards in Finland and the Netherlands used AI to test their own strategic conclusions, finding significant overlap between AI-generated insights and their human decisions. This boosted both their confidence in the decisions and their trust in AI’s utility, particularly for validating or challenging complex judgments. IMPROVING BOARD DYNAMICS AI can offer real-time feedback on boardroom dynamics. For example, a Swiss industrial company uses AI to analyze speaking time, tone, and engagement during meetings, creating recommendations for better group engagement. The article addresses potential risks: 🔐 Information leaks. These stem not from AI itself but from poor data governance, which can be mitigated with proper access controls and security training. ⚖️ Sample bias. Regular audits and user awareness are key to avoiding flawed, discriminatory, or incomplete insights. 🧭 Anchoring in the past. AI can be overly reliant on historical data. Scenario simulations and reasoning models can help boards anticipate and adapt to future shifts. And concludes with recommendations on learning to use AI well: 1️⃣ Create engagement. Chairs should start with one-on-one conversations to assess AI literacy and follow up with tailored training to build confidence and interest. 2️⃣ Practice collective experimentation. Boards should test AI tools together in low-stakes settings, debrief their experiences, and gradually integrate AI into governance processes. 3️⃣ Maintain momentum. Chairs must lead by example, celebrate AI use regardless of outcomes, and embed AI progress into board evaluations. I am currently working on a 'GenAI in the Boardroom' mini-report that I will be sharing soon, addressing these and a range of other issues and possibilities.

𝟗𝟒% 𝐨𝐟 𝐠𝐥𝐨𝐛𝐚𝐥 𝐂𝐄𝐎𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐀𝐈 𝐜𝐨𝐮𝐥𝐝 𝐨𝐟𝐟𝐞𝐫 𝐛𝐞𝐭𝐭𝐞𝐫 𝐜𝐨𝐮𝐧𝐬𝐞𝐥 𝐭𝐡𝐚𝐧 𝐚𝐭 𝐥𝐞𝐚𝐬𝐭 𝐨𝐧𝐞 𝐨𝐟 𝐭𝐡𝐞𝐢𝐫 𝐛𝐨𝐚𝐫𝐝 𝐦𝐞𝐦𝐛𝐞𝐫𝐬. I came across this in an Harvard Business Review and it struck me as a wake-up call for boards and a sharp reflection of today’s governance reality. Modern boards face a paradox: 𝐭𝐡𝐞𝐲 𝐜𝐚𝐫𝐫𝐲 𝐞𝐧𝐨𝐫𝐦𝐨𝐮𝐬 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐲𝐞𝐭 𝐨𝐩𝐞𝐫𝐚𝐭𝐞 𝐰𝐢𝐭𝐡 𝐥𝐢𝐦𝐢𝐭𝐞𝐝 𝐩𝐫𝐨𝐱𝐢𝐦𝐢𝐭𝐲 𝐭𝐨 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬. Most meet a few times a year, across time zones and agendas. Even the most seasoned directors can struggle to connect cross-functional dots, reconcile competing views and keep pace with the complexity of today’s enterprises. 𝐈𝐧 𝐭𝐡𝐞 𝐠𝐚𝐩 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐨𝐯𝐞𝐫𝐬𝐢𝐠𝐡𝐭 𝐚𝐧𝐝 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠, 𝐀𝐈 𝐢𝐬 𝐬𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐭𝐨 𝐟𝐢𝐧𝐝 𝐢𝐭𝐬 𝐟𝐨𝐨𝐭𝐢𝐧𝐠. In an experiment by The Wharton School and INSEAD, researchers compared human boards with an AI “board” trained on the same governance protocols. The results were telling: - The AI board made 𝐜𝐥𝐞𝐚𝐫𝐞𝐫, 𝐟𝐚𝐬𝐭𝐞𝐫 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬, moving naturally from facts to trade-offs to implementation. - It surfaced data in 𝐫𝐞𝐚𝐥 𝐭𝐢𝐦𝐞, flagged inconsistencies and proposed concrete next steps. - It even ensured 𝐞𝐯𝐞𝐫𝐲 “𝐯𝐨𝐢𝐜𝐞” 𝐢𝐧 𝐭𝐡𝐞 𝐫𝐨𝐨𝐦 𝐰𝐚𝐬 𝐡𝐞𝐚𝐫𝐝. But 𝐰𝐡𝐞𝐫𝐞 𝐭𝐡𝐞 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 𝐞𝐱𝐜𝐞𝐥𝐥𝐞𝐝 𝐢𝐧 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐭𝐡𝐞𝐲 𝐟𝐞𝐥𝐥 𝐬𝐡𝐨𝐫𝐭 𝐢𝐧 𝐬𝐮𝐛𝐬𝐭𝐚𝐧𝐜𝐞, 𝐩𝐚𝐫𝐭𝐢𝐜𝐮𝐥𝐚𝐫𝐥𝐲 𝐨𝐧 𝐭𝐡𝐞 𝐡𝐮𝐦𝐚𝐧 𝐞𝐥𝐞𝐦𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐝𝐞𝐟𝐢𝐧𝐞 𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: 𝐭𝐫𝐮𝐬𝐭, 𝐞𝐦𝐩𝐚𝐭𝐡𝐲, 𝐜𝐨𝐮𝐫𝐚𝐠𝐞, 𝐞𝐧𝐜𝐨𝐮𝐫𝐚𝐠𝐞𝐦𝐞𝐧𝐭. The relational dynamics of governance are irreplaceable. Yet boards can should learn from AI when it comes to structure: 𝐁𝐫𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐞 𝐭𝐨 𝐝𝐞𝐥𝐢𝐛𝐞𝐫𝐚𝐭𝐢𝐨𝐧. Use AI to support better sequencing from facts → options → trade-offs → decisions, rather than jumping straight to opinions. 𝐁𝐞 𝐢𝐧𝐭𝐞𝐧𝐭𝐢𝐨𝐧𝐚𝐥𝐥𝐲 𝐢𝐧𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐨𝐟 𝐚𝐥𝐥 𝐯𝐨𝐢𝐜𝐞𝐬. AI “chairs” pulled every participant into the discussion; human chairs often default to the loudest or most senior voice. 𝐄𝐦𝐛𝐫𝐚𝐜𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲. Instead of detaching from difficult topics, boards should use AI to break down complexity with frameworks, scenarios and relevant insights. 𝐀𝐈 𝐰𝐢𝐥𝐥 𝐧𝐨𝐭 𝐫𝐞𝐩𝐥𝐚𝐜𝐞 𝐛𝐨𝐚𝐫𝐝𝐬, 𝐛𝐮𝐭 𝐛𝐨𝐚𝐫𝐝𝐬 𝐭𝐡𝐚𝐭 𝐟𝐚𝐢𝐥 𝐭𝐨 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐀𝐈 𝐢𝐧𝐭𝐨 𝐡𝐨𝐰 𝐭𝐡𝐞𝐲 𝐩𝐫𝐞𝐩𝐚𝐫𝐞, 𝐝𝐞𝐥𝐢𝐛𝐞𝐫𝐚𝐭𝐞 𝐚𝐧𝐝 𝐝𝐞𝐜𝐢𝐝𝐞 𝐫𝐢𝐬𝐤 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤 𝐫𝐚𝐭𝐡𝐞𝐫 𝐭𝐡𝐚𝐧 𝐚 𝐯𝐚𝐥𝐮𝐞-𝐚𝐝𝐝𝐢𝐧𝐠 𝐚𝐬𝐬𝐞𝐭. The mandate is clear: 𝐛𝐨𝐚𝐫𝐝𝐬 𝐦𝐮𝐬𝐭 𝐚𝐜𝐭𝐢𝐯𝐞𝐥𝐲 𝐚𝐝𝐨𝐩𝐭 𝐀𝐈 𝐚𝐬 𝐚 𝐜𝐨𝐫𝐞 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐭𝐨𝐨𝐥, embedding it into board packs, committee work and strategy discussions, to enhance the quality, speed and inclusivity of their oversight.

The boardroom has a new participant. It doesn't hold a seat, but it's shaping every decision that does. Generative AI has moved from novelty to necessity. While early use cases focused on content creation, the next wave will reshape how executives make decisions, allocate capital, and manage risk. Boards that understand where this is heading will gain a structural advantage. Those that don't will be playing catch-up in a market that won't wait. Here's what executive teams need to know. 1. The shift: From text generator to decision partner Generative AI is no longer just producing content. It is synthesizing complex datasets, modeling strategic scenarios, recommending options, and surfacing risks and tradeoffs in real time. This positions AI as a decision-support layer for executives. Not a replacement for human judgment. An accelerant of it. 2. What's emerging now; Four strategic use cases already in motion *Board Reporting. Thousands of pages of operational data synthesized into concise, decision-ready summaries. *Scenario Planning. Real-time "what-if" modeling across supply chain, pricing, workforce, and M&A. *Policy Simulation. Modeling the downstream impact of regulatory changes or geopolitical shifts before they land. *Market Intelligence. Continuous analysis of market signals and customer sentiment, not quarterly snapshots. 3. The governance gap; Risks boards must address, not delegate Speed without guardrails is a liability. Boards need to own the governance posture, not just receive reports on it. *Hallucinations producing inaccurate insights *Model bias skewing recommendations *Data leakage via ungoverned prompts *Over-reliance on automated decisioning AI-augmented decisions must remain transparent, auditable, and aligned with enterprise risk frameworks. This is not an IT question. It is a board level accountability question. 4. The mandate; What boards should request now Don't wait for a briefing deck. Push for four concrete deliverables: A. Your organization's Generative AI Governance Framework with clear accountability lines; B. Explicit human-in-the-loop protocols for high-stakes decisions; C. Your organization's roadmap for AI integration into planning, forecasting, and reporting; and regular updates on model performance, drift, and risk controls. Generative AI will be a core component of enterprise decision-making within 24 to 36 months. The window to build governance infrastructure ahead of adoption is narrow and closing. The boards that move now will not just be better informed. They will be structurally faster. #GenerativeAI #BoardGovernance #ExecutiveLeadership #EnterpriseAI #StrategicPlanning #AIStrategy #DigitalTransformation #FutureOfWork

As boards confront the rapid rise of AI, many are realizing it’s not just another technology to oversee - it’s a catalyst reshaping the very foundations of governance. Ahead of the Private Directors Association annual conference in this week, new insights from KPMG's Private Company Board Survey reveal how GenAI is testing board composition, culture, and foresight in unexpected ways. Less than one-third of respondents said that they are satisfied with their board’s understanding of the company’s use of/plans to use GenAI, the board’s understanding of the risks posed by the technology, and whether the company has the talent to support its use of GenAI. These findings highlight where the next generation of board leadership will need to evolve to stay confident in an age of intelligent systems: 1. AI Is forcing boards to reimagine governance inclusive of systems Directors are being challenged to think beyond risk registers toward dynamic oversight models that account for algorithmic decision-making, data ethics, and emergent behaviors from AI systems. This is a fundamental shift from monitoring management to continuously adapting governance to include both human and nonhuman actors within the enterprise. 2. The boardroom knowledge gap is as much cultural than technical Boards accustomed to static briefings and polished quarterly updates are challenged to adapt to the iterative, experimental nature of AI adoption. 3. Board composition demands adaptive thinkers Directors with backgrounds in product, data, and digital experience are gaining favor. However, it’s not technical expertise alone driving this, it’s their comfort with ambiguity, iteration, and their ability to recognize patterns. 4. AI readiness is exposing hidden process vulnerabilities Boards thought they had mature risk frameworks, but AI is revealing fractures in accountability and ownership. AI-related decisions often fall between committees, creating blind spots. AI is a stress test of existing governance coherence. 5. Ethical AI leadership is becoming a source of competitive advantage Stakeholder trust is emerging as a measurable asset, and boards fluent in AI ethics - bias, transparency, and explainability - are better positioned to convert ethical oversight into an important differentiator. Read the report: https://lnkd.in/gBT2qEqt #GenAI #BoardLeadership

Real talk...most boards are flying blind on #AI. We still have leaders of orgs that think AI is a "bubble". They're approving AI budgets, reviewing AI risk disclosures, and evaluating AI-driven acquisition targets — but this isn't a technology problem. It's a governance problem. Three things change when a board gets AI-literate: 1. Better capital allocation. AI-literate leaders ask harder questions about build vs. buy, model lock-in risk, and whether the $5M "AI transformation" is actually a dashboarding project. They catch the gap between a vendor demo and production-grade infrastructure. 2. Sharper risk oversight. Data privacy, model hallucination, regulatory exposure — these aren't abstract risks anymore. A board that understands how LLMs actually work can pressure-test management's AI risk framework instead of rubber-stamping it. 3. More informed M&A. In healthcare IT alone, we're watching platform vendors like Epic absorb capabilities that used to justify standalone companies. A board that can't evaluate AI-driven disruption risk is approving valuations built on eroding moats. AI literacy at the board level doesn't mean every director needs to write Python. It means they need enough fluency to ask the right questions, challenge management's assumptions, and distinguish signal from noise in the fastest-moving area of enterprise technology. The boards that build this muscle now will make better decisions for the next decade. The ones that don't will wonder why their portfolio got disrupted by companies whose boards did. #leadership #PE

🤖 Is AI in your Boardroom a Gimmick or a Game-Changer? 10 years ago, an algorithm joined the #VC board of Deep Knowledge Group in Hong Kong. It was seen as a novelty at the time Today, pioneering boards are using #AI not just to analyze data, but to shape strategy, challenge assumptions, & even participate in meetings According to Harvard Business Review's paper "How Pioneering Boards Are Using AI", most board members still underestimate AI’s potential — using it for personal productivity but not necessarily for board-level decision-making That may be a missed opportunity indeed 🔍 Here’s how forward-thinking boards are leveraging AI: 1. Scenario Planning: AI generates strategic simulations faster than human teams 2. Meeting Preparation: Directors use LLMs to analyze board books, frame questions, & test proposals 3. Decision Validation: Boards run their conclusions through AI for a second opinion 4. Process Improvement: AI analyzes group dynamics & recommends better meeting structures 5. Board Observers: Abu Dhabi’s IHC appointed a virtual human named Aiden Insight, to attend meetings & contribute insights. It positions the $239bn conglomerate as a pioneer in leveraging AI for corporate governance & decision-making 💡 One director called ChatGPT their “sparring partner.” Another used #Claude to validate strategic retreat outcomes. The result? Better decisions, faster. All of this said though, there are also clear risks involved: 1. Information leaks 2. Sample bias 3. Anchoring in outdated data The solution? Smarter usage, better training, & collective experimentation. 📣 The future isn’t just AI-assisted boards. It’s boards with AI members. If you’re a chair, director, or governance leader — now is the time to: 1. Build digital literacy 2. Experiment with AI tools 3. Make AI part of your board’s DNA 📣 Are you a Chair or know of an opportunity for an independent NED & seasoned HR executive with deep board-level experience in governance, executive appointments, & aligning people strategies with business goals to drive sustainable growth? But don't take my word for it, take it from C. Todd Hamilton, COO of the International Coaching Federation: 💬 “Navid has been an invaluable member of the Global Nominating Committee for 4 years. His insights & dedication have significantly contributed to our success in identifying & selecting top‑tier candidates. His strategic thinking & commitment to excellence are truly commendable. He’s been instrumental in professionalizing the efforts of that team & is a great thought partner on any number of leadership, development & HR related topics.” Nurole Oliver Cummings VOCASO David Goldstone Board Owl Donald Waterreus