Teknologiens fremtid
Teknologer og fremtidstænkere udforsker hvordan innovation vil transformere industrier, økonomi og dagligdagen
Speakers Associates represents 253 speakers on Teknologiens fremtid, including Kemal Apaydin, Michael Lyon, Mark Stevenson, Edvard Moser, Nikolas Badminton, Marc Saltzman, Alex Goryachev, Timandra Harkness, Chris Heemskerk og Dame Wendy Hall.
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 boards still treat AI, automation and connected mobility as a technology programme. The harder question is what they do to the operating model, the workforce, the customer relationship, and the social contract a company sits inside. Leaders need a way to think about exponential change that is sharper than scenario decks and more useful than another keynote about disruption.
Generative AI is trained on what people have already created, then competes with them using it. Boards now face a question with no settled answer: who owns the human capability a machine has absorbed, and what does the company owe the workforce it displaces? Most AI strategy stops at deployment and ignores the legal and economic claims forming underneath it.
Most boards have approved AI strategies. Very few have AI in production at the heart of a regulated business. The gap between pilot enthusiasm and operating reality is where strategy stalls, governance gets nervous, and customer-facing teams quietly lose faith in the technology.
China is no longer a back-office manufacturing story. It is now the source of consumer behaviours, retail formats and platform economics that arrive in Western markets two or three years later, and most boards still treat it as a market they sell into rather than a market they learn from. The cost is missed product cycles, marketing assumptions that no longer match the consumer, and a digital playbook designed for a slower internet.
Boards are being asked to deploy AI faster than they can govern it. The question is no longer whether to adopt the technology but how to make decisions about it that hold up under scrutiny from regulators, employees, and the public. Most organisations have no working model for that, only policies that lag the systems they are meant to oversee.
Technology strategies are being made faster than the institutions running them can think. The tools leaders use to understand risk were built for a slower, more legible world. When misinformation, digital conflict, and exponential change operate simultaneously, the primary vulnerability isn’t technological, it’s cognitive.
Most large companies still confuse digital activity with commercial reinvention. They run pilots, refresh apps and back venture funds, then wonder why challengers keep eating their margin. Building genuinely new business models inside a corporate envelope requires founder instinct that almost no executive team has on its bench.
Retail and consumer brands are being asked to behave like logistics companies without losing what made the brand worth choosing in the first place. The marketing team owns customer experience that now depends on a delivery driver, an app, and a supply chain. Most organisations have not redesigned how brand, commerce and operations work together to make that handoff feel like one company.
Most organisations still treat technology as something the user picks up, looks at and puts down. That model is breaking. Sensors, haptics and ambient computing are moving the interface into the body, the garment and the room, and the businesses building for that shift need product leaders who can think across hardware, software and human design at once.
Autonomous systems, from self-driving vehicles to generative AI, are moving from lab to revenue faster than most boards can absorb. The strategic question is no longer whether the technology works. It is which timelines are real, which are marketing, and which regulatory and civil-liberties fights will decide who gets to deploy at scale.
Most organisations treat creativity as a culture problem, then complain that nothing ships. The harder question is operational: how do creative teams stay productive at scale, and how do leaders translate abstract ideas into experiences that actually move people. That gap, between intent and execution, is where most innovation programmes lose the thread.