Omstilling af arbejdsstyrken
Eksperter der navigerer den menneskelige side af strukturel forandring, omskoling og redesign af moderne arbejde
Speakers Associates represents 49 speakers on Omstilling af arbejdsstyrken, including Russell Beck, Jeremy Blain, Diana Verde Nieto, Wael Khoury, Alex Goryachev, Kai Gondlach, Mike Evans, Jim Carroll, Andreas Welsch og Alison McCauley.
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.
Talent scarcity is not a cycle. It is a structural condition, and most organisations are still running people strategies designed for a different labour market. The gap between what employees now expect from work and what employers are offering has widened, and compensation alone does not close it. Leaders who cannot articulate why their organisation is worth someone’s career will lose that competition consistently.
The workforce most organisations are trying to lead now spans four generations, with a workplace that has changed more in five years than the previous twenty-five. Baby boomers, Gen X, millennials and Gen Z are applying different assumptions to loyalty, hierarchy, meaning and flexibility, and most executive teams are still running management models designed for a single generation. The cost shows up as attrition, friction and leadership pipelines that thin out at predictable points.
AI is absorbing the work middle management was paid to do. Reporting, coordination, status tracking, summarisation, performance feedback: all of it is moving into systems. Leaders can see the org chart will not survive in its current shape. Few have a working model for what replaces it, or for where human capability concentrates once execution is automated.
Most enterprise AI programmes are stuck between an executive mandate to deploy and an operating reality that cannot absorb the change. Boards want commercial returns. Workforces want to know what happens to them. Risk and compliance want to know how the model decides. The leaders running these programmes need someone who has actually shipped AI inside large companies, not someone describing the journey from outside.
Employee engagement sits on most executive scorecards, but few organisations actually understand how ownership, voice and accountability translate into long-term commercial performance. In the UK, the most-cited reference on that question is the same one it has been for two decades: the John Lewis Partnership. What leadership teams need is not another engagement-survey vendor, it is a first-hand account of how ownership culture was built, tested under competitive pressure and made to pay.
Boards keep approving technology investment while the underlying talent base narrows. Roles go unfilled, women still leave the sector at scale, and the people who could be retrained sit outside the recruitment funnel. The question is no longer whether to invest in digital capability. It is who is in the room when those decisions are made, and who is being trained to deliver them.
Five generations now sit inside the same organisation, and the assumptions each one carries about authority, loyalty, and ambition no longer line up. Engagement programmes built for one cohort fail with another. Talent strategy, team design, and leadership communication need a sharper read of who is actually in the room.
Productivity has not recovered. Engagement scores have flatlined, HR technology budgets have grown, and yet the link between what people do and what the business produces has weakened. The question for the people function is no longer whether to invest in workforce experience, analytics or AI, but how to connect those investments to measurable performance.
Organisations spend heavily on hiring and talent development, yet the signals they rely on; credentials, interviews, and institutional pedigree, consistently fail to predict who will actually perform. This is not a diversity problem or a culture problem. It is a measurement problem, and most organisations have not yet recognised it as one. When the instruments are wrong, even well-intentioned decisions produce systematically bad outcomes.
Most transformation programmes produce a report, then stall. Leadership, organisational design, governance, and execution get treated as separate projects, so change never sticks. The workforce absorbs the disruption and keeps its old habits.