Futuro del trabajo speakers
Voces que moldean cómo las organizaciones se adaptan a la automatización, modelos híbridos y nuevas expectativas laborales
Speakers Associates represents 224 speakers on Futuro del trabajo, including Zavier Coyne, Thimon de Jong, Rahaf Harfoush, Nilofer Merchant, Russell Beck, Jeremy Blain, Katja Schipperheijn, Graeme Codrington, Lauren Ducrey y Kayleigh Fazan.
Senior leaders rarely fail because they lack capability. They fail because the role has changed faster than their sense of who they are. The instinct to double down on the skills that earned the promotion is the instinct that now stalls the transition, and most organisations have no language for helping a leader step into a bigger role while their identity is still catching up.
Boards now expect HR to defend operating decisions, not narrate them. CHROs are being asked to govern AI, restructure talent models, and hold culture together through IPOs, take-privates, and multi-country integrations. Most organisations do not have a people leader who can sit credibly in the boardroom on all three at once.
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.
Boards now make capital and operating decisions inside a system where geoeconomic competition, supply shocks, technological disruption, and political fracture move faster than the institutions designed to manage them. Most leadership teams understand each risk in isolation. The harder problem is reading how they compound across regions and sectors, and what that means for growth, capital allocation, and the next decade.
Most boards now treat AI as a strategic line item, but few know how to translate it into operating advantage without tripping the regulators, the workforce, or the customer. The gap between AI ambition and AI deployment is widening, not closing. Leaders need someone who has sat on both sides: the commercial side that has to ship, and the governance side that decides what shipping looks like.
Most leadership teams have an AI strategy. Far fewer have changed how the business runs. The gap between stated intent and operating-model impact is where executive teams stall, and where the investment case quietly unravels.
Most leadership development investment targets the wrong variable. Organisations spend heavily on skills programmes while the real gap – between how executives believe they lead and how their people experience that leadership – goes unmeasured. When leadership style was built for a stable environment, it tends to fail quietly: engagement falls, talent leaves, and the organisation cannot understand why its capable leaders are not producing capable cultures.
Senior leaders are being asked to be more human at exactly the moment the job has become less human. Restructures, AI rollouts, hybrid teams, and constant pressure on results have left many executives defaulting to either detached toughness or performative empathy. Neither produces the trust, candour, or performance the business needs.
A quarter of the workforce now belongs to a generation that older leaders consistently describe as the hardest to read. Employers cannot retain them, marketers cannot reach them, and the standard explanations of what they want keep contradicting each other. Inside organisations, that gap is now a strategic problem: attrition, brand erosion, and decisions about culture made on assumptions no one in the room has tested.
Most organisations have run AI pilots. Few have moved from pilot to operating capability. The gap is rarely the technology; it is the absence of a structure that connects model choice, team design, ethics, and day-to-day decision rights across the business.
Most organisations are spending heavily on AI and still producing the same ideas they produced last year. The bottleneck is not the model or the tooling; it is the quality of human judgement brought to the work. The question senior leaders keep returning to is how to get original thinking and technological leverage from the same teams at the same time.
Most senior teams now agree AI matters. Far fewer can say what it changes about their specific business this quarter. The gap between abstract enthusiasm and operational decision sits at board level, and it widens every month a leadership team relies on vendor decks for its mental model of the technology.