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.
Most workplaces are still designed around square footage and cost per desk, not the physiological reality of the people inside them. Leaders see the wellbeing numbers, the absence rates, the engagement scores, and have no design language to act on them. The gap between an HR wellbeing strategy and the actual building it is delivered in is where productivity, retention and culture quietly leak.
Leadership teams are being asked to plan three to five years ahead while AI agents, automation and consumer behaviour shift faster than annual strategy cycles can absorb. The instinct is to wait for clarity. By the time clarity arrives, the operating model is already behind.
Digital transformation programmes routinely stop at the edge of the human body. Leadership teams know identity, authentication, health data, and workforce capability are converging into something more intimate than a mobile device, but they have no shared language for what that means for products, security policy, or talent. The question is not whether human augmentation arrives in serious organisations, but how a board prepares for it without becoming either dismissive or naive.
Five generations now share offices, customer bases, and management lines. Each was shaped by a different economy, a different technology stack, and a different idea of what work is for. Leaders are being asked to engage all of them at once, and the old playbook assumes one workforce, not five.
Most leadership teams are not short of AI commentary. They are short of conviction about what to do with it. The harder question is which signals warrant a budget shift this year and which are noise dressed up as strategy.
Family-owned and founder-led businesses generate most of the world’s private wealth, yet most do not survive past the second generation. Governance, succession, and capital allocation across an owning family are treated as private matters until they become commercial crises. The discipline of running an enterprising family, the businesses, the family office, and the philanthropy, as a coherent system is largely unwritten.
Workplace mental health programmes have multiplied. Burnout, attrition, and disengagement have not. The gap is not awareness but a culture that still rewards the behaviours that erode people, and a generation of leaders who were never trained to manage the human cost of constant change.
Most organisations now run on systems their customers and employees do not fully understand and increasingly do not fully trust. AI, data, and automation are scaling faster than the trust infrastructure around them. Boards are discovering that adoption stalls, talent retention slips, and brand equity erodes when the human side of digital change is left unattended.
Most incumbents meet a new technology by defending the business it threatens. The instinct is rational in the quarter and fatal over a decade. The harder question is how much competitive pressure a business needs before it starts innovating, and where that pressure tips into retreat.
Most boards have approved an AI strategy and almost none have shipped one. Pilots multiply, vendor decks accumulate, and the operating model stays the same. The pressure now is not to talk about AI but to redesign teams around it before competitors do.
Most large organisations were built to scale efficiency, not to keep pace with change. The result is a workforce full of people who innovate at home and comply at work, and a leadership team that asks why initiative is dying while the structures keep killing it. The real problem is not strategy or talent. It is the management model itself.
Trust inside organisations is being tested faster than leaders can rebuild it. Restructuring, hybrid working, and the arrival of AI tools have stripped the assumptions that used to hold teams together. The result is a workforce that complies but does not commit, and decisions that get slower precisely when they need to be quicker.