Innovation und Disruption
Experten, die zeigen, wie Industrien sich transformieren – und wie Organisationen Veränderung gestalten statt nur folgen
Speakers Associates represents 390 speakers on Innovation und Disruption, including Kemal Apaydin, Michael Lyon, Peter Fisk, Neri Karra Sillaman, Mark Stevenson, Nilofer Merchant, Itai Green, Lucy Bullivant, Rita McGrath und Katja Schipperheijn.
Generative AI is being deployed faster than the governance, voting, and ownership systems around it can adapt. Boards now have to decide which AI systems get a seat at the decision table, who is accountable when those systems shape public opinion, and what legitimacy looks like when a model can speak with more authority than an executive. The hard question is no longer whether to use AI. It is how to keep human institutions credible while doing so.
Sustained competitive advantage has stopped behaving the way strategy textbooks promised. Incumbents with strong positions are being overtaken by entrants who change the rules of the game rather than play it better. The harder question for boards is not how to defend the current business, it is how to keep creating new value when the industry definition itself keeps moving.
Senior leaders are being asked to commit capital and strategy to technologies whose second-order effects are still being written. The gap is not a shortage of information about AI, cybersecurity or platform shifts. It is the absence of a sober, editorially disciplined read on which signals matter, which are noise, and what the next eighteen months look like for the companies making the bets.
Most organisations are deploying AI into environments designed for people, then expecting the people to adapt. The result is friction that looks like a technology problem and is actually a collaboration problem: badly timed hand-offs, brittle trust, staff working around the system rather than with it. The buyers who feel this most acutely are the ones who have passed the pilot stage and are now trying to make human and machine teams productive at scale.
Most senior teams have plenty of answers. What they lack is a disciplined way to surface the questions that would reframe the problem entirely. When the strategic terrain shifts faster than the playbook, the limiting factor is not analysis or execution; it is the quality of the questions being asked in the room.
Most large organisations recognise that their next move has to come from outside their own industry playbook. They struggle to do anything with that recognition. Internal teams default to peer benchmarks, customer research that confirms existing assumptions, and innovation pipelines that produce incremental product features rather than reframed propositions.
Most large organisations have run AI pilots. Few have turned them into operating advantage at scale. The hard problem sits between proof-of-concept and production: legacy estate, unclear governance, talent gaps, and a board that wants commercial outcomes rather than experiments.
Most early-stage ventures fail not for lack of product but for lack of access: to networks, to capital, to the unwritten knowledge that decides who gets a meeting. The same gap shows up inside large organisations, where good ideas die because the originator does not know how to build the relationships that move them. Treating that gap as a soft skill keeps it permanent.
Most organisations talk about scale, urgency and creative ambition. Few have to deliver all three on a fixed date with the world watching. The hard question is how leaders assemble the right people, money and partners fast enough to make a once-only event actually happen.
Marketing budgets are under sharper scrutiny than at any point in a decade, and the old assumptions about how brands earn attention have stopped holding. AI has reset what creative, media and customer experience teams are expected to produce, and most organisations are still reasoning about it as a tool rather than a structural change to how brands compete. The commercial question is which parts of the marketing operation get rebuilt around AI, and which parts get protected because they still depend on human judgement.
People do not stop being people when they walk into work. They carry cognitive bias, fatigue, threat responses and habit into every decision a leader asks them to make. Organisations that treat behaviour as a performance issue, rather than a biology issue, keep running the same change programmes and getting the same results.