Future Skills
Speakers who explore the capabilities, mindsets and habits that will define professional success ahead
Leadership teams are making consequential AI decisions with tools they do not fully understand, on timelines that do not allow for reflection. The hard question is not which model to deploy. It is how to read the cultural and behavioural effects of AI inside the organisation before they calcify into strategy.
Leaders of banks, central banks and other regulated institutions know their organisations are being rewired by AI, platforms and new regulation. What they struggle with is translating that awareness into sequenced decisions about capability, talent and operating model. The gap is not vision. It is a practitioner view of which AI moves build durable advantage and which ones become stranded pilots.
Most organisations invest in learning and development while simultaneously designing conditions that eliminate the curiosity that makes learning happen. The tension is structural: as organisations scale, they reward conformity, optimise for efficiency, and quietly marginalise the questioning behaviour that drives adaptation. Leaders know their people need to be more curious. They are less certain how to measure it, and less certain still that their own management culture is not the primary obstacle.
Female representation in aviation, engineering and computer science remains stuck in single and low double digits, despite a decade of pipeline programmes. Organisations need credible role models who can move the conversation past statistics and reach the audiences pipeline reports never touch. The hardest part is finding a voice young women actually listen to.
Most organisations announce a position on inclusion long before they have a working theory of how to embed it. Internal champions then have to convert generic commitments into hiring decisions, promotion patterns and product choices, often in front of a workforce that has heard the rhetoric before. The hard task is making inclusion visible as operating discipline, not statement.
Most large organisations have run inclusion programmes for a decade and still cannot explain why their senior pipeline does not move. The work has stalled in the gap between policy and practice: in how leaders run meetings, distribute opportunity, and make promotion calls when no one is watching. That is a leadership development problem, not a communications problem.
Most organisations say they want diverse technology teams and stronger digital talent pipelines, yet keep recruiting from the same narrow funnel and wondering why the numbers do not shift. The gap between stated intent and hiring reality is now a strategic risk, not a values conversation. Leaders need a practical read on what actually moves representation, retention and product quality in technical functions, without defaulting to training budgets and pledges.
Most organisations invest heavily in learning and development but see little lasting change in what their people can actually do. The gap between training delivered and capability retained is not a content problem, it is a cognitive one. When the science of how humans encode, practise, and recall information is ignored, even well-designed programmes produce forgetting rather than performance.
Most large organisations have an innovation function. Few have an innovation discipline. Pilots multiply, vanguard projects get presented at the offsite, and the operating business looks the same a year later. The hard question for the leadership team is no longer whether to innovate; it is what to industrialise, what to retire, and where the next source of growth actually comes from.
Flexible work was supposed to liberate people. In practice, it has fragmented their identity and eroded the loyalty and skill that hold organisations together over time. Companies still want engagement and craft-quality output, even as the structures they keep building (short-term teams, perpetual reorganisation, no long-term contracts) actively undermine both.
Most organisations are still running a work operating system designed for a labour market that no longer exists. Jobs are fixed, careers are linear, AI is bolted on at the edges, and the skills the business actually needs are nowhere on the org chart. The question senior leaders now face is structural, not cosmetic: how do you rewire how work gets done before competitors rewire it around you.
Established organisations invest heavily in optimising what already works, and that focus becomes the liability when the market shifts. The leaders most at risk are not those who ignore change but those who see it clearly and still cannot mobilise their organisation to act before the window closes. The gap between recognising disruption and profiting from it is rarely a knowledge problem; it is a strategic and cultural one.