Future of Work speakers
Voices shaping how organisations adapt to automation, hybrid models and shifting expectations of work
Speakers Associates represents 228 speakers on Future of Work, including Zavier Coyne, Thimon de Jong, Rahaf Harfoush, Nilofer Merchant, Russell Beck, Jeremy Blain, Katja Schipperheijn, Graeme Codrington, Philippe Aghion and Lauren Ducrey.
Every organisation is now running an experiment on its own people. AI is reshaping how leaders think and how they decide, and most of them are watching it happen without a framework for what they are seeing. The productivity tools assume creativity is an output problem. The transformation programmes assume culture is a training problem. Neither assumption is true, and the gap between them is where the real cost is accumulating.
Most organisations hire women into technology and lose them between mid-manager and the executive ranks. The cause sits outside conventional diversity programming. Sponsorship and promotion strategy decide who reaches senior leadership, and they are rarely taught.
Leadership effectiveness rarely fails for lack of strategy. It fails because senior people lose composure, default to abstraction with their teams, and confuse politeness with care. The harder problem is teaching experienced leaders to make difficult decisions in a way that the organisation will still trust them afterwards.
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.
Most organisations add management controls as they scale, treating process and approval layers as the logical price of accountability. The result is that high performers – the people organisations most need – are also the most constrained by the system they work inside. Replacing that logic with something more effective is the problem few leadership teams have seriously confronted, let alone solved.
Wellbeing has been outsourced to apps, perks and benefits programmes for a decade, and engagement scores have kept falling. The boards now asking for productivity, retention and resilience are discovering that none of these arrive without a deliberate operating model for how people sustain energy at work. The real question is no longer whether to invest in wellbeing, but how to make it a measurable feature of how the organisation runs.
Women leave technology and senior roles at every stage of the pipeline, and the reasons are now well documented: a culture that rewards perfectionism over risk, and a workplace built for workers without caregiving responsibilities. Most organisations respond with policy statements and employee resource groups. What they need is a structural account of why their female talent is stalling and a tested set of interventions that work.
Most large organisations have AI strategies their workforces are not equipped to deliver. The capability gap sits inside the firm: tens of thousands of professionals whose roles are quietly being rewritten by automation, while learning functions still ship classroom modules. The question for the executive team is no longer whether to invest in reskilling, but how to do it at the pace technology is moving.
Top talent now decides where to live before deciding where to work. Companies that built their workforce strategies around moving people to where work is are losing ground to firms that locate where talent already is. Leaders are confronting a new geographic calculus: which places attract the people they need, and which do not.
Once a financial or strategic commitment depends on AI, evidence is needed that the system placed into use can do the work that commitment assumes.
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 not short of signals about technological change – they are short of a coherent way to read them. AI, robotics, quantum computing, and biotech are not arriving in sequence; they are arriving together, and their strategic implications compound. The real risk is not moving too slowly on one technology. It is misreading how several converging forces will combine to reshape a sector before the organisation has positioned itself to respond.