Artificial Intelligence & Generative AI
Speakers who decode the real-world impact of machine intelligence on industries, workforces and competitive advantage
Most organisations now run two AI agendas in parallel and neither one is working. The compliance agenda is ahead of the strategy agenda, and the strategy agenda is ahead of the operating model. Boards need a coherent way to think about AI as economic infrastructure, not as a procurement question, while the technology is still moving faster than their policies, their hiring, and their planning cycles can absorb.
Most leadership teams understand that emerging technology will reshape their business. Far fewer can describe what a robot, a drone swarm, a generative model or a mixed-reality system actually changes about customer attention, trust and decision-making. The gap between technical capability and human reception is where strategy quietly fails.
Brands are investing heavily in digital experience and AI-driven personalisation, yet emotional loyalty is declining. Modern consumers – especially Gen Z and Gen Alpha – judge brands not by service quality but by authenticity, community, and belonging. Most leadership teams can describe their customer experience; almost none can explain why their customers stay.
Sustainable competitive advantage has stopped behaving like it used to. Incumbents with strong positions, talent, and capital still lose share to entrants who reframe the question rather than win on the answer. The work is no longer protecting a moat; it is detecting where the moat has already moved.
Every organisation now has a digital transformation strategy. Very few have the executive fluency to decide which emerging technologies actually deserve investment, which are years away from being usable, and which belong on the regulator’s desk rather than the roadmap. The cost of getting that distinction wrong, in smart-city programmes, public-sector IT and corporate digital strategy, is quietly absorbed as failed projects and stranded spend.
Trust between brands and the people they sell to has eroded faster than marketing functions can rebuild it. Generative AI now writes the copy, targets the audience and shapes the campaign, and consumers know it. The commercial question is no longer how to be seen, but how to be believed.
Most executive teams have run AI pilots. Few have moved AI into the operating core, where it changes margins, headcount and customer experience at scale. The gap between experimentation and operational advantage is where competitive position is being decided right now, and most leadership teams cannot see clearly across it.
Leaders are being asked to make consequential bets on quantum, AI, and biotech without the tools to separate genuine scientific progress from marketing. Boards over-index on confident vendors and under-index on the slower, harder question of what the science can actually do. The cost of getting this wrong is years of misallocated capital and credibility lost when claims fail to land.
The organisations leaders were trained to run are not the organisations they are now being asked to lead. Employees, customers, regulators and activists all expect participation, transparency and speed that the command-and-control playbook cannot deliver. The leaders who thrive in this environment are not the ones with the loudest brand or the biggest advertising budget; they are the ones who understand how influence actually flows in a hyperconnected system, and who can build the models that work with that grain rather than against it.
Established organisations invest heavily in optimising what already works, and that focus becomes the liability when the market shifts. The leaders most at risk are not those who ignore change but those who see it clearly and still cannot mobilise their organisation to act before the window closes. The gap between recognising disruption and profiting from it is rarely a knowledge problem; it is a strategic and cultural one.
Customers now judge a company by how fast it responds and how it handles the people who complain. Most organisations treat speed and complaints as service problems, when in commercial terms they are the largest available source of growth and the largest unmanaged source of churn. The gap between what customers expect of responsiveness and what companies deliver is where revenue quietly leaks.
Every board now owns cyber risk, but very few boards can read it. The attackers have industrialised, the attack surface has expanded into every connected device and vendor, and AI is widening the gap between what executives understand and what their defenders are actually facing. Leadership teams need someone who can make the threat concrete without making the room feel stupid.