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 run AI pilots. Far fewer have moved them into operating reality. The gap is not the technology, it is the absence of an internal innovation discipline that translates promising experiments into measurable change inside a workforce that is, in many cases, quietly resisting it.
The 50+ consumer controls a disproportionate share of discretionary spending in most developed markets. Brands still design products and craft messaging as if youth is where growth lives. Entire segments worth trillions are treated as demographic footnotes, served by assumptions about ageing that are fifteen years out of date.
Most AI deployments produce pilots, not capability. Tools land in the organisation faster than people can absorb them, and leaders default to vendor narratives because they lack a vocabulary for the human variables that decide whether productivity actually moves. The bottleneck is rarely the model. It is the gap between what AI can do and how the workforce learns to think with it.
Workforces have absorbed wave after wave of restructure, system migration and AI rollout. Engagement is flat, change initiatives stall on adoption, and the people expected to deliver the next transformation are visibly tired of the last one. Leaders need a credible way to rebuild appetite for change without another corporate culture programme that lands as noise.
Most large organisations are running multiple transformations at once: an AI rollout, a restructuring, an integration, a culture reset. The people function is asked to absorb all of it without slowing the business or breaking the workforce. Few HR leaders have actually done this at scale across listed tech, consumer goods and entertainment, and fewer still know what to keep when the model changes.
Most enterprise AI programmes stall between pilot and operating advantage. Boards have approved the spend, vendors have shipped the tools, and the value is still trapped in slideware. The tension now is governance, accountability and workforce redesign at the speed agentic AI is moving, not whether to invest.
Most organisations have stress-tested their strategy against geopolitical risk and AI disruption. Few have asked the same question about longevity. The shift to longer lives is already restructuring labour supply, consumer behaviour, healthcare costs, and fiscal policy, simultaneously. Boards that treat demographic change as a background condition, rather than a structural economic force, are calibrating long-term strategy around assumptions that have already been invalidated.
Most organisations say they want diverse technology teams and stronger digital talent pipelines, yet keep recruiting from the same narrow funnel and wondering why the numbers do not shift. The gap between stated intent and hiring reality is now a strategic risk, not a values conversation. Leaders need a practical read on what actually moves representation, retention and product quality in technical functions, without defaulting to training budgets and pledges.
Most organisations invest heavily in learning and development but see little lasting change in what their people can actually do. The gap between training delivered and capability retained is not a content problem, it is a cognitive one. When the science of how humans encode, practise, and recall information is ignored, even well-designed programmes produce forgetting rather than performance.
Organisations are deploying AI faster than they are rethinking what their workforces should do. The gap between automation investment and workforce strategy is not a technical problem – it is an institutional one. Every historical wave of technological disruption has produced the same error: treating short-term labour displacement as permanent decline, or resisting disruption until the window for adaptation has closed.
Most organisations make product, workforce, and policy decisions on data that under-represents half their market. The gap is structural, not incidental, and it shows up in safety failures, missed customers, and AI systems that inherit the bias of their training sets. Leaders who suspect this is happening rarely have a defensible way to find it, fix it, or explain it to a board.
Vacancies and unemployment coexist even in growing economies, and most workforce strategies have no rigorous model for why. The mismatch between available work and employed workers is structural, rooted in search frictions that standard hiring logic does not account for. Automation and AI are accelerating job creation and destruction at the same time, introducing new versions of those frictions faster than institutions – or organisations – can adapt.
All speakers on Omstilling af arbejdsstyrken
- Alex Goryachev
- Alexis Abramson
- Alison McCauley
- Allister Frost
- Amy Cappellanti-Wolf
- Andreas Welsch
- Andrew Scott
- Anne-Marie Imafidon
- Barbara Oakley
- Carl Frey
- Caroline Criado-Perez
- Christopher Pissarides
- Danilo McGarry
- Dave Coplin
- Dave Ulrich
- Diana Verde Nieto
Show all 49 speakers
- Didem Ün Ateş
- Hollie Castro
- Jacob Morgan
- Jennifer Vessels
- Jeremy Blain
- Jim Carroll
- Julie Holmes
- Kai Gondlach
- Keely Cat-Wells
- Kian Gohar
- Lynda Gratton
- Marc Descheemaecker
- Mark DeVolder
- Mark Levy
- Markus Bernhardt
- Mike Evans
- Niluka Kavanagh
- Oliver Leisse
- Piers Linney
- Ravin Jesuthasan
- Riaz Shah
- Richard Florida
- Russell Beck
- Seth Mattison
- Sharon Gai
- Sol Rashidi
- Stuart Hampson
- Sue Black
- Tammy Erickson
- Tim Ringo
- Vivienne Ming
- Wael Khoury
- Zack Kass