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.
Most organisations treat culture as a values poster and inclusion as a compliance line. The work of designing how people actually experience the company, from onboarding to exit, sits unowned between HR, leadership and operations. When the experience breaks, engagement collapses, attrition rises, and the gap between stated values and lived reality becomes the company’s most expensive credibility problem.
Most organisations have run AI pilots. Far fewer have managers who can govern AI decisions, interrogate model outputs, or redesign a process around an agentic system. The gap is not tooling. It is a workforce of decision-makers who do not yet know enough about AI to lead with it.
Most performance systems are built on assumptions that the data does not support: that feedback drives improvement, that weaknesses are the right thing to fix, that engagement is a function of perks. Leaders running large workforces now have decades of evidence that the rituals they inherited produce neither retention nor results. The question is what to put in their place.
Boards have approved AI strategies they cannot fully explain, govern, or defend. Pilots multiply, ethical frameworks lag, and the human side of the operating model erodes faster than anyone planned. The question is no longer whether to deploy AI, but how to do it without losing the judgement, trust, and accountability that hold the enterprise together.
Most large organisations still run people strategy as a service function: policies, surveys, perks. The result is workforces that are managed but not engaged, and cultures that announce values they do not actually live. The gap between the brand a company sells to customers and the experience it gives its own people is where attrition, mediocrity, and quiet disengagement start.
Boards are being asked to make ten-year commitments on technologies that change every six months. Most leadership teams lack a decision architecture for this: they either freeze, or they pilot endlessly without operational deployment. The unresolved question is how to commit capital and reorganise work around AI without betting the firm on a single forecast.
Five generations now share the same payroll, and most leaders are still managing them through stereotypes their HR slides borrowed a decade ago. The result is friction that looks like a generations problem and is actually a leadership problem: too many layers, too much jargon, too little human contact. Cultures stall when complexity becomes the default operating mode.
Early-stage AI companies are hiring against a market that did not exist three years ago. The roles they need are senior, the candidate pool is shallow, and the cost of a wrong executive hire shows up in the first investor update. Founders are trying to scale commercial and technical leadership while still building the product.
AI is the most visible of several forces reshaping how work gets done, and most organisations are defending against only one of them. Roles lose their value before anyone redesigns them, and the people doing that work feel it first. The real question is which human capabilities stay scarce once the tools are everywhere.
Most AI investment is still trapped in pilots, demos and isolated tools. The harder problem is redesigning how the organisation actually decides, staffs and operates once machines do meaningful work. Senior teams need a way to move from AI as a project portfolio to AI as the operating model.
Most boards now have an AI position on paper. Very few have a confident view of what their organisation should actually do with the technology, on what timeline, and at what cost to existing structures. The gap between AI as a slide in the strategy deck and AI as a real operating capability is where senior teams quietly stall.
Organisations are racing to deploy AI without an equivalent investment in the ethical or human frameworks needed to govern it. The competitive pressure to adopt is overriding the slower, harder work of deciding what values to encode into systems that will operate well beyond any individual leadership team’s tenure. The decisions being made now are difficult to reverse – and most boards do not yet have the reference points to make them well.