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.
Net zero commitments are colliding with grid reality. Boards backing renewables-only pathways are now confronting capacity, intermittency and supply chain constraints that their original decarbonisation plans did not price in. The question is no longer whether nuclear belongs in the transition, but how to think clearly about it without the ideological inheritance of the last forty years.
Most senior teams have run their first generative AI pilots and stalled. The technology is general-purpose, but the operating decisions are not: which workflows to redesign, which tools to standardise on, where hallucination is tolerable and where it is not. The question is no longer whether to adopt, but how to convert curiosity into measurable operating advantage without ceding judgement to the model.
Artificial intelligence is built to imitate the brain, yet most leaders backing it cannot say how the brain actually works. The only proven model of general intelligence is still biological. Understanding how it remembers and finds its way is becoming useful in judging what machines can and cannot do.
Boards are now accountable for AI decisions they do not fully understand. Regulators, customers, and employees expect defensible governance, but most companies still treat ethics as a slide at the end of the deck. The gap between AI ambition and AI accountability is where reputational, legal, and operational risk now compounds fastest.
Most deep technology never leaves the laboratory. The gap between a working prototype and a regulated, commercially viable product is where ambitious R&D programmes quietly fail, and where boards lose patience with science-led ventures. The harder question for leadership is what discipline lets a research breakthrough survive the journey to market without losing its scientific integrity.
Leadership teams can see the signals of disruption. They cannot agree on what those signals mean for the business, or act on them at the pace the market demands. The gap between foresight and organisational response is where strategy stalls, culture fractures, and customer relevance erodes.
Biology is becoming a programmable technology, and most leadership teams still treat it as someone else’s R and D problem. The commercial consequences of that blind spot are accelerating across materials, health, food, energy and computing. Boards need a clear read on which of these shifts are hype, which are imminent, and what a credible corporate response looks like.
Boards understand cybersecurity as a compliance line item. They do not understand it as an active counterintelligence problem, where adversaries study the organisation, build trust with employees, and move on patient timelines. The same psychological playbook now drives AI-generated deepfakes, voice cloning and synthetic identity attacks against finance teams, executives and supply chains.
Technology is getting more capable faster than the people using it are getting more skilled. Most digital products are designed for efficiency, not for the human nervous system, and the gap shows up in fatigue, disengagement and shallow adoption. The question for leaders is no longer how to deploy AI faster, but how to design it so people actually want to live with it.
The middle ground that organisations were built around is thinning out, and the rate at which it thins is itself accelerating. Intermediaries lose their role, the nation state loses its monopoly on power, and customers and employees move to the edges. Senior teams have to decide which structures still pay back, which have quietly stopped working, and how to plan when the cycle of change is shortening.
Most strategy processes are built for a stable horizon. They forecast from the recent past and break down when the underlying drivers, AI capability, energy systems, demographics, shift faster than the cycle they were designed to track. Leaders need a way to think rigorously about what is actually changing, ten and twenty years out, without sliding into either denial or hype.
Leaders are being asked to make decisions faster, against opponents and systems they do not fully understand, with machines increasingly involved in the thinking. The instinct is either to defer to the model or to dismiss it. Neither works. What organisations need is a clear view of where human judgement still carries the match, and where it should step aside.