The Enterprise AI Capability Gap

An invite-only evening with NVIDIA, Zebrafish and Red Badger at Imperial College London

  The Council Room - 170 Queen's Gate, Imperial College London   9th June,  18:00 - 22:00 

Every enterprise has an AI strategy, but a critical capability gap exists in executing it.

Global enterprises spent an estimated $30–40 billion on generative AI in 2025, but MIT's research found that 95% of those initiatives delivered no measurable impact on the bottom line.

And while 78% of these businesses now have AI pilots running, only 14% have scaled one across the organisation. We know the models work, the infrastructure is available, and the tooling is ready.

And so what is blocking progress?

The organisational capability gap. The ability to pick the right problems, stand up the right teams, ship the right systems into production, and get the rest of the business to actually use them.

This skills gap is now the single biggest barrier to success. Most leadership teams know this. And they need to remedy it through empowered people and organisation-wide coordination, centred on their realities.

This event is a serious conversation about closing the capability gap, and providing global leaders with the solutions and mental models needed to make meaningful progress.

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Who is this for?

Senior leaders with real accountability for AI in large, customer-facing enterprises.

If you're a Customer, Technology or Transformation leader, or the person tasked with leading a global or centralised AI programme – this is for you.

Also welcome all progressive Chief People Officers and Talent Directors who recognise that capability is as much a people question as a technology one.

You'll sit between business impact and technology change. You'll have a strategy on paper and a gap between that strategy and what's actually happening in the business. You'll be looking for a more honest conversation than most AI events manage to host.

What you'll take away

We're exploring the following areas:

  • Who, genuinely, owns your AI capability agenda?

  • What does success actually look like – and who agrees with you on that?

  • How do you know the impact is real, and not a collection of experiments at the edge?

By the end of the evening, you'll have tested your own answers against a room of peers wrestling with exactly the same questions.

Chatham House Rules throughout.

Speakers

David Lefevre - headshot

David Lefevre
Professor of Practice - Digital Innovation, Imperial College London

David's Lefevre is a Professor of Practice at Imperial College Business School, where his work sits at the intersection of technology and education. Alongside his academic role, he is a venture builder, investor, and experienced board member who has spent much of his career exploring how digital tools can reshape the way people learn.

His current focus is on the application of artificial intelligence to education, including AI strategy, AI-driven educational systems, and the development of new AI tools for teaching and learning.

A frequent speaker on AI and the future of higher education, David has delivered keynotes and panels at venues including Queen Mary University of London's Draper's Lecture, the AMBA & BGA Global Conference, GESS Dubai, MED-AOM in Chicago, and UCL's Education Innovation society.

He also serves on the board of the British Council, contributing to its global mission in education and cultural relations.

Christopher Tucci - headshot

Christopher Tucci
Vice Dean of Education, Imperial College London

Christopher Tucci is a globally recognised scholar of innovation, digital strategy, and business model design.

With academic roots at MIT Sloan and a career spanning leading institutions in Europe and the United States, Chris has spent decades helping organizations understand how technology reshapes industries, firms, and the people inside them.

His current work sits at the intersection of AI adoption, open innovation, and the future of business education. He advises startups, contributes to European Commission research initiatives, and publishes widely in top management journals on topics ranging from organizational readiness for AI to firm openness and industry dynamics.

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