Article

The rise of the cyboard

Boards of directors are ripe for AI augmentation
Published

1 July 2026

The board of directors is a governance body designed for oversight and long-term decision-making in areas of high complexity and strategic importance. Its role is cognitive and strategic rather than operational. That means recognising patterns, weighing options and risks under uncertainty, and drawing on experience, analysis, and deliberation to make informed decisions. Board work is about understanding potential outcomes in situations characterised by many moving parts, high risk, and uncertainty. It involves finding answers to critical questions shaped by ambiguity and ‘what-ifs’. 


If some of this sounds like core AI capabilities, you are right. In the coming years, we will see AI augment boards’ work and boost their impact. Whether the board is governing the business, handling issues, or making big-bet decisions, AI will first be a helpful tool and then an integrated partner to boards. Boards of directors will become human-machine directors – or, simply, cyboards. 


In the longer term, we will see more radical changes to the role and nature of the board as AI becomes more powerful. Stay tuned for more on that. This article is about the near future, as this is what is now relevant for most boards. 


New demands and opportunities for boards 

The world is changing, and so are the tasks and expectations for boards. Compared to just a decade ago, most boards now operate in a fundamentally different context. 


Externally, volatility, uncertainty, and unpredictability driven by rapid interconnected changes in geopolitics, energy politics and systems, regulation, supply chain realignments, climate politics, technology acceleration, and the broader economy all pose challenges to how boards operate and spend their time. This is more than a feeling of speed. It is a fact illustrated by, for example, the record-high levels of uncertainty shown in the Global Uncertainty Index. 


Internally, boards face expanding agendas – ESG and climate transition, DEI, AI and data governance, cybersecurity, human capital, geopolitics, and intensifying regulation – while investor and stakeholder expectations move from compliance to demonstrable value creation and resilience. Many boards are equally driven by internal and personal ambitions to deliver more value, increase relevance, and get in sync with management and stakeholders. 


In short, boards are in a squeeze: more and overlapping issues of higher consequence, cognitive load, potential conflicts of leadership with executive teams, an out-of-step board model, increased complexity – and all with less time to act.

The challenges

These are structural shifts. They raise the stakes but also invite boards to adapt their operating model, aligning the board model with the operational and strategic context. We see five overlapping challenges for boards: 


1. The efficiency challenge 


Boards must accomplish more in the same amount of time without sacrificing governance quality. The main responsibilities – often split into control tasks and strategic tasks – are basically the same. But to meet them, boards must work smarter and spend their time more effectively. 


In recent years, boards have adopted practices around planning, meeting efficiency, use of committees, use of time between meetings, and the adoption of dedicated technology platforms, all to increase efficiency. And with some success. However, the overlapping ‘hairball’ of external and internal complexities and urgencies requires more time to deal with complex strategic and high-risk issues without neglecting the control tasks. 


2. The value creation challenge 


Boards must handle the increased volume and complexity of the control tasks while improving their ability to deliver on the strategic outlook. The stakes are higher in volatile environments, requiring more thinking, more scenarios, and more risk evaluations, while recognising that the consequences of poor decisions are potentially more serious. 


The demands on boards to juggle the moving parts and provide clear answers and direction to the leadership teams – often based on unknowns and a foggy outlook – increase the cognitive demand to understand operations and context better, while keeping a cool head and steady hand. 


Boards advise leadership teams that are close to the daily business. Long-term strategic advice might feel less relevant when the short term trumps the long term. Executives are immersed in the business daily. They feel the competitive pressure in real time, adjust course continuously, and carry an evolving picture of the company’s strategic position. Boards, by contrast, receive curated snapshots – board packs prepared days in advance, presenting a version of reality that is sometimes outdated by the time it is read. 


This information asymmetry is compounded by the meeting rhythm itself. A board that meets five times a year is always catching up. It reviews decisions that have already been made, approves strategies that management has already begun executing, and learns about risks that have been partially managed. Governance becomes retrospective rather than forward-looking. 


3. The decision quality challenge 


Decision-making and the perils of cognitive bias, groupthink, ego-shadowing, and other cognitive shortcomings have been at the top of the board agenda for more than a decade now following the arrival of behavioural science into public awareness. After all, board members, although skilled and experienced, are still humans. This means they are prone to taking mental shortcuts without realising it. While such shortcuts may work well in normal everyday behaviour, they represent a risk in highly abstract decision-making. 


Most board decisions address complex questions. Missing a critical parameter, over-focusing on specific nuances, or wrongly believing that fundamental premises remain stable over time jeopardise the quality of decisions. Whereas humans are impressively good at juggling many variables when recognising patterns, we are very limited when it comes to long-term decision-making. We are better at making fast and ‘good enough’ decisions rather than irreversible big-bet decisions involving many abstract factors. And when we are cognitively fatigued, we reduce the number of variables and options until we ultimately reach a strong preference for the status quo: “Let’s do nothing right now.” 


One way to counter some of these cognitive limitations is through diversity in board composition. Boards need different perspectives to handle complex and ambiguous environments. Yet, diversity remains a challenge in boards due to various cultural and structural barriers. 


4. The board model agility challenge 


Boards are struggling to keep pace with the speed and complexity of the business environments their companies operate in. The traditional cadence of five or six scheduled meetings per year – a rhythm established in a slower, more predictable era – has become one of the most overlooked structural weaknesses in governance. 


In most boards, the annual calendar is set months, even years, in advance. Directors gather for a few hours, work through a prepared agenda, and then disperse, often not reconvening for another six to eight weeks. This cycle made sense when strategic shifts unfolded over years, competitive landscapes were more stable, and information moved slowly enough that quarterly or biannual reviews felt adequate. But that world no longer exists. Companies today face disruptions that materialise in weeks, if not days. 


The problem does not stop with frequency. It is also a matter of depth. Packed agendas leave little room for genuine strategic dialogue. Boards spend a disproportionate amount of time on the control tasks – compliance, financial reporting, and governance housekeeping – simply put, the tasks that fit neatly into a structured meeting format, while the harder, more forward-looking conversations get crowded out or deferred. Strategy is often a standing agenda item rather than a living, ongoing process. Boards monitor progress on must-wins decided years in advance. As if competitors, innovators, disrupters, and regulators were following the same annual planning wheel. 


We are also witnessing a growing mismatch between what boards are formally responsible for – setting strategic direction, overseeing risk, ensuring long-term resilience – and what the cadence of their work allows for. An annual cycle of meetings does create an illusion of oversight without providing the substance for it. Boards can technically tick every governance box while remaining completely out of sync with the strategic reality the company is navigating. This is not so much a failure of individual directors as a structural challenge, and a clear example of a governance model that has failed to keep pace with the business environment it is meant to serve. 


5. The complexity challenge 


As market conditions become more interconnected and unpredictable, boards face increasing strategic and organisational complexity. Navigating this environment requires systems thinking and a constant willingness to challenge assumptions. Moreover, boards must make decisions in high-risk situations. 


This kind of complex, ‘hairball’ decision-making – characterised by multiple dependencies, uncertain outcomes, and competing priorities – calls for better support for reflection, scenario planning, and informed judgement.

The AI opportunity for boards 


AI is poised to become a valuable thinking partner for boards to address challenges faced by individual board members, the chair, and the board as a collective. Beyond this, AI creates new opportunities to strengthen the board’s contribution within strategy and control. To provide an overview, we have developed a framework that enables boards to start having a focused dialogue about where and how AI can create value. 


The framework is based on case studies, whitepapers, and thought leadership, as well as interviews with experienced board members, chairs, and practitioners, including early movers and curious explorers, who have built and tested AI solutions that are already proving their value. 


New ideas and use cases are emerging constantly in the AI era. For that reason, this framework should be seen merely as a set of illustrative ideas: a basis for discussion and prioritisation in the boardroom. A good starting point is to ask: Where are the biggest challenges and opportunities for us as a board? Is it in strategic scenario planning? In improving efficiency? In supporting individual board members, the chair, or the board as a team?

Active boards: Adressing the challenges through AI

10 ideas that illustrate the breadth of opportunities

There is significant potential for AI to support and enhance value creation by boards. Rather than presenting an exhaustive list, we have selected 10 ideas that illustrate the breadth of opportunities in the near term. Most of these ideas are currently being piloted in some form or another. 


The ideas address some of the challenges described earlier. Consequently, most boards will make significant progress by implementing one or more of the listed ideas. Below is a curated set of ideas to explore:

Pitfalls 


As everyone is now aware, there are numerous issues related to AI use that any board member should become familiar with from the get-go. Some affect quality, others the dynamics between the board and executive leadership, and still others information safety. The list will change in scope and nature as AI becomes increasingly integrated into board work. Let us briefly highlight some of these pitfalls. 

Information safety 


We start with the most basic and immediate threat posed by the AI-augmented board: unsafe sharing of sensitive material with platforms and models that may use the information for training and thus potentially leak it. Many board members have started to use AI for preparation. This should be done only in ‘closed’ environments compliant with the information security policies of the company and never on free platforms. Typically, this means using the same AI environment that the company itself uses. 

Being misled 


One fascinating trait of generative models is how convincing they seem, even when hallucinating and referring to things that do not exist. So, treat your AI as another source of information subject to the board’s general responsibility measures. Never make decisions directly based on AI input, take its recommendations at face value, or treat the model as an authoritative source. Use it for second opinions to highlight potential blind spots and provide feedback. 


Another issue tied to time pressure and complexity is letting AI digest all the preparation material and only read its summary. While tempting, this falls short of the board’s accountability and should be avoided and explicitly addressed in the board’s AI policies. 

Power dynamics drift 


The governance structure and dynamics of the board are often debated. The classical view is that the board should stay out of operations and focus on oversight and the long-term perspective. Increasing turmoil and the speed with which organisations must respond have brought some boards closer to executive leadership, acting as sparring partners and sharing responsibility for rapid and radical decisions. Not all executives welcome that shift, and the proper role of boards remains contested. AI will challenge these dynamics. 


Normally, the board does not have the insight or time to challenge operational information, assumptions, and perspectives. However, with AI, access to operational insight and analytical capacity becomes less of a limiting factor. It becomes easier to ask relevant questions, identify information that may have been overlooked, or even develop alternative strategic scenarios. So, rather than relying on the information made available by management, boards can act more proactively and engage at a deeper operational level. 


This new power must be handled with care so as not to undermine the governance principle of two levels of leadership operating at different rhythms. We expect this issue to become a more substantial governance challenge over the long term and recommend that boards address it at the outset. 

Conclusion 


Boards are entering a period of profound change. AI will not remove the need for experienced directors, sound judgement, or effective governance. If anything, these capabilities are only becoming more important. What AI offers is the opportunity to augment the board's ability to understand complexity, explore alternatives, challenge assumptions, and act with greater speed and confidence. Provided, of course, that they in turn get the hang of AI. 


The cyboard is not a distant future scenario. The first elements are already here, and the boards that learn to combine human judgement with artificial intelligence may very well come to define the next generation of governance.

Related0 4