Technology has moved into the centre of business strategy, with 88% of organisations globally using AI in at least one business function. Senior roles are changing in ways that are hard to ignore. The shift isn’t limited to new tools or systems but is also changing how leaders think, make decisions, and how they’re held to account.
Decisions linked to AI, cybersecurity, and data use are no longer confined to technical specialists but sit firmly at the executive level, where judgment carries wider consequences. A broader view of capability is now needed, one that reflects a more complex operating environment.
AI Oversight Has Become a Leadership Discipline
Artificial intelligence is embedded in hiring, customer engagement, and operational decisions, and there is a higher level of scrutiny around how these systems are used. Guidance from the CIPD highlights the need for responsible adoption, with clear oversight, transparency, and fairness in decision-making.
Executives aren’t expected to build these systems, but they must challenge how they operate. Questions around data quality, bias, and accountability now sit at the board level. A ‘verify, verify, verify’ approach with human oversight as a non-negotiable rule is encouraged to give employees the confidence to experiment safely and preserve high standards.
Leaders who engage with these issues in practical terms reduce the risk of adopting tools without fully understanding their impact. Organisations want leaders who combine curiosity with discipline and bring a balanced view to AI adoption.
Cybersecurity Is Driving Regulatory Pressure at the Top
Cyber risk is moving into a stricter regulatory environment. Expectations around resilience and response are rising, and accountability is becoming more defined. The UK government aims to set out stronger enforcement measures through its UK Cyber Security and Resilience Bill, placing responsibility on organisations to demonstrate robust systems and reporting processes.
Cyber incidents continue to affect a large proportion of UK businesses. The results highlight the need for ongoing vigilance rather than one-time fixes. For leadership teams, this shifts the focus from prevention alone to readiness and response. Executives must be able to act quickly, make informed decisions, and communicate clearly when incidents occur.
Data Governance Has Become a Strategic Priority
Data is now central to how organisations operate and grow. It informs decisions, supports innovation, and shapes customer experience, but it also carries legal and ethical responsibilities that cannot be ignored. There is increasing pressure on businesses to manage data responsibly while remaining competitive. Regulations are evolving, and public expectations are rising. Organisations can easily lose trust if data is mishandled.
For leaders, this creates a need for clarity, and they must understand data collection, use, and storage at a strategic level. Governance frameworks are part of the organisation’s reputation and long-term value, and boards need leaders who can balance opportunity with accountability. Leaders must drive growth and show that it was achieved responsibly.
Novo Perspective
Leadership is no longer defined by expertise in one area. AI, cyber risk, and data responsibility require a broader approach, with stronger oversight and clearer accountability. Boards are focusing on leaders who can interpret risk, challenge assumptions, and guide decisions with confidence. This means looking beyond traditional profiles and identifying individuals who can operate effectively in a more complex environment. As the margin for error narrows, the expectations placed on leadership continue to rise.
