Innovation og disruption
Talere der udforsker, hvordan industrier omformes – og hvordan organisationer kan lede forandring i stedet for at følge den
Speakers Associates represents 390 speakers on Innovation og disruption, including Kemal Apaydin, Michael Lyon, Peter Fisk, Neri Karra Sillaman, Mark Stevenson, Nilofer Merchant, Itai Green, Lucy Bullivant, Rita McGrath og Katja Schipperheijn.
Boards are being asked to make capital and workforce decisions on AI without a shared map of where the technology is actually heading. Internal teams default to either pilot-by-pilot caution or unchecked enthusiasm, and neither produces a defensible long-range position. What is missing is a credible read of what the next decade looks like, grounded in technology history rather than vendor marketing.
Most growth capital still flows through the same networks it always has, leaving credible founders outside those networks structurally underfunded. Senior teams know the talent exists. The harder question is how to source it, back it, and build the surrounding infrastructure that turns a fundable founder into a scaled company.
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 retail and consumer businesses can list the trends shaping their category. Few can turn that awareness into operational change before competitors do. The gap is not insight, it is the discipline to test, adapt, and scale what works while leaving the theatre of innovation behind.
Most organisations have AI budgets. Most are still running pilots. The problem is not investment – it is that AI has been framed as a strategy in its own right, which turns a deployment decision into an open-ended design problem. Meanwhile, the gap between AI experimentation and scaled competitive advantage is narrowing fast. Organisations that cannot move AI into production – aligned to business goals they already have – will cede ground to those that already have.
Buildings account for roughly 40 percent of global carbon emissions, and most organisations with an estate, a supply chain, or a product footprint are now accountable for that figure in ways they were not a decade ago. Net-zero commitments have been made; the harder question is how to retrofit, specify, and build at scale without stalling on cost, regulation, or technical complexity. Leaders need someone who can translate what is actually happening on a building site into a strategic decision a board can act on.
Workforces now span five generations, and most organisations still treat experience and age as a problem to manage rather than a capability to deploy. Older workers are pushed out at the moment their judgment is most useful, and younger leaders inherit responsibility without the wisdom infrastructure to support it. The cost is talent loss, weakened decision-making, and culture that does not know how to learn from itself.
Most large organisations treat creativity as a campaign, not a capability. They run an innovation sprint, produce a deck, and return to the same operating rhythm that produced the problem. The harder commercial question is how to make original thinking a daily habit of the people who already run the business, without a separate function or a hired-in consultancy.
Most organisations say they want breakthrough innovation but design approval processes that guarantee safe outcomes. The ideas most likely to create new categories are also the ones expert consensus will most reliably reject. Getting something genuinely new to market requires a method for staying in motion when the evidence argues against you.
Every organisation says it wants to change. Most are built to resist it. Transformations tend to break where strategy meets the team that has to carry them through years of institutional resistance.
Incumbent banks are facing increasing competition from challenger institutions that now match them on product and user experience. The more complex question is how banking will evolve as money and data become increasingly programmable, and who will control the underlying infrastructure.
Most organisations treat creativity as a personality trait held by a few people, rather than a process a team can run. The result is innovation that depends on whoever is in the room on a given day, ideas that never convert into commercial decisions, and leadership teams that confuse brainstorming with problem solving. What is missing is a repeatable method for turning ambiguous business problems into defensible answers.