Futuro della tecnologia speakers
Tecnologi e futuristi che esplorano come l’innovazione emergente trasformerà industrie, economie e la vita quotidiana
Speakers Associates represents 253 speakers on Futuro della tecnologia, including Kemal Apaydin, Michael Lyon, Mark Stevenson, Edvard Moser, Nikolas Badminton, Marc Saltzman, Alex Goryachev, Timandra Harkness, Chris Heemskerk, e Dame Wendy Hall.
Most large brands are running metaverse and avatar projects inside the same marketing teams that built their websites. The output is decorative, not commercial. Companies that want a serious return from digital worlds need to decide whether to retrofit existing functions or stand up a dedicated avatar-native business, and they need a credible view on which categories of revenue, audience, and intellectual property warrant the second route.
Established firms are organised to defend what they already do well. The same discipline that protects today’s margin makes the search for the next business feel slow, indulgent, and easy to defund. Leaders need a way to run both at once, without the exploration agenda quietly losing every internal argument.
Boards are being asked to make capital and risk decisions on AI while the rules around it are still being written. The pressure is no longer whether to deploy, but how to deploy defensibly when regulators in Brussels, Washington and Beijing are pulling in different directions. Most executive teams do not yet have a clear view of who is setting those rules, on what timetable, and what compliance, data and infrastructure choices will look like on the other side.
Most companies treat under-served audiences as a marketing afterthought. The commercial reality is the opposite: an audience nobody else is serious about can be the most defensible position a business ever holds. The question for leaders is how to identify that audience, build a product the audience trusts, and turn niche-first conviction into platform-scale economics.
Technology moves faster than the institutions trying to explain it. Public bodies, regulators, and corporates end up with digital channels that look active but say very little, while the audiences they need to reach lose patience. The gap between what an organisation does on emerging tech and what it manages to communicate has become its own strategic risk.
Most strategy processes treat the future as uncertain and respond by hedging. That posture costs time and investment while competitors move on signals that were knowable in advance. Leadership teams need a disciplined way to separate the parts of the future that are already decided from the parts that are still open, and to act on each differently.
Most businesses facing digital disruption respond with better law, better lobbying, or better content controls. None of those work when the underlying consumer behaviour has already shifted. The harder problem is building a business model that makes the illegal alternative redundant – and then persuading the incumbents whose economics you are disrupting to help you do it.
Most large organisations have run AI pilots. Few have moved AI into operating reality at scale, with clear lines on governance, accountability and where it is allowed to make decisions. Boards now need a sharper read on what AI can actually do for their business, what it should not do, and how to deploy it without inheriting risks they cannot defend in front of regulators or customers.
Most organisations know creativity matters. Few have built the conditions that make it work reliably. Innovation initiatives generate ideas. They rarely generate the structural environment in which those ideas can become commercial output. The tension is between the discipline required to run an efficient organisation and the openness required to produce anything genuinely new.
Most organisations talk about inclusion as a policy and innovation as a pipeline. The harder question is whether the people the system was not designed for can actually build inside it, and whether their work is treated as engineering or as a story. Cultures that cannot answer that question lose both the talent and the output.
Most boards are now briefed on AI, but few have thought seriously about what happens when AI has a face. Customer service, healthcare, education and hospitality are all heading towards interactions with machines that look back at you, recognise you, and hold a conversation. The strategic question is no longer whether the technology works. It is how organisations design for trust, responsibility and emotional register when the interface is a humanoid.
Customer expectations don’t shift gradually – they reset when a leading business makes a move that becomes the new standard. Most organisations track their own customers too closely and the forces reshaping those customers not closely enough. The arrival of AI has made the problem acute: more signals, faster change, and a greater penalty for placing bets on the wrong ones.