Arbetets framtid speakers
Röster som formar hur organisationer anpassar sig till automatisering, hybridmodeller och förändrade arbetskrav
Speakers Associates represents 224 speakers on Arbetets framtid, including Zavier Coyne, Thimon de Jong, Rahaf Harfoush, Nilofer Merchant, Russell Beck, Jeremy Blain, Katja Schipperheijn, Graeme Codrington, Lauren Ducrey och Kayleigh Fazan.
Workforces now span five generations, all carrying different expectations of work, recognition and progression. Many organisations treat this as a communications problem when it is a culture problem, and burnout, disengagement and quiet exits follow. Building a culture where psychological safety is a working condition, not a slogan, is what separates organisations that retain talent from those that leak it.
Most enterprises now have an AI strategy on paper and very little operating advantage to show for it. Pilots stall, governance is improvised, and the gap between board ambition and frontline deployment keeps widening. Leaders need a credible operator who has built AI inside a Fortune 500 and shaped it inside the United Nations, not another commentator describing the trend.
Boards are being asked to make consequential decisions about AI systems they do not fully understand, on timelines set by competitors, regulators and the technology itself. The vocabulary used inside these conversations, alignment, capability, existential risk, governance under uncertainty, was largely built by a small group of thinkers before the commercial AI race began. Without that vocabulary, leaders end up either dismissing the risk or capitulating to it.
Most organisations describe talent as a strategic priority, then run hiring processes that select for sameness and call it merit. Engagement scores fall, attrition climbs, and the workforce that arrives looks nothing like the one the strategy assumed. The pressure now is to make recruitment, inclusion and engagement actually deliver against business plans, not against quarterly HR dashboards.
Most organisations understand that AI and digital transformation are not optional. The problem is the gap between acknowledging this and making irreversible decisions about infrastructure, talent, and operating models: particularly in industries built around physical assets and long capital cycles. Leaders in real estate, construction, financial services, and retail are being asked to future-proof portfolios before the technology landscape has stabilised. The consequence of moving too slowly and too fast look equally costly from a boardroom.
Execution systems built on hierarchy and control still dominate most organisations even as competitive value has shifted decisively to intangibles those systems were never designed to see. Performance reviews, servant leadership, and “move fast” cultures are not just insufficient, they actively suppress the trust and novel thinking that generate results. The management norms that once delivered efficiency have become the primary barrier to innovation.
Most organisations have moved quickly on AI and far more slowly on what it means for their people. The technology has budgets and owners; the human side, which still drives innovation, performance, retention, and engagement, does not. As automation absorbs more of the work, that gap becomes the real constraint on how organisations grow.
Boards are being asked to make capital and governance decisions inside a global order that no longer behaves the way the post-Cold War playbook assumed. Geopolitical fracture, AI moving faster than policy, and a younger workforce and customer base that distrust traditional institutions are now operating constraints, not background context. The leadership question is no longer how to read the change, but how to govern through it.
Productivity investment keeps rising. So does overload. The problem is not that organisations lack better time management systems. It is that the logic of «getting on top of things» is itself the mechanism that generates the pressure it claims to solve. Leaders who feel this but cannot name it are making cultural and structural decisions on a false premise.
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.