AI Summit London celebrates 10 years of enterprise and responsible AI

The AI Summit London celebrated its 10 anniversary with its most ambitious and forward-looking programme to date, bringing together 5,000 delegates and 300 speakers at Tobacco Dock in London (10–11 June) as the headline AI event of London Tech Week 2026.

Across eight dedicated stages, global business leaders, policymakers, AI innovators and academics explored the opportunities and challenges shaping the next phase of artificial intelligence. Discussions focused on how generative and agentic AI are transforming organisations, redefining leadership and accelerating productivity across industries.

London Business School played a prominent role in the programme, with faculty members Professor Michael Jacobides and Adjunct Assistant Professor Ekaterina Abramova contributing to enlightening discussions on the Headliners stage, which attracted near-capacity audiences.

On the opening day, Professor Michael Jacobides joined the panel titled, Humans at the Helm: Leading Agentic AI in the Enterprise with other esteemed industry guests. The session examined what managing AI means in-terms of risk, innovation, trust and accountability, as well as the humans at the centre of these AI driven workflows.

When asked by moderator, author and public speaker Catriona Campbell what distinguishes an organisation that uses AI, from one that is becoming genuinely agentic, Professor Jacobides responded by saying: “Agentic AI is where the promise lies, but where the challenge also lies. In order to deliver on the agentic promise, we should not have a tech-driven agentic solution, but we should ask, how will I be able to think about the existing processes that need to be rewired and integrated. AI is a strategy organisation problem, not the technology problem.”

In addition, when asked by the moderator “Do you see the role of humans shifting from execution to orchestration, then to supervision and strategic intervention, what does that human role look like?” - The Professor went on to say, “this should be the direction of travel, but what we will see is a very heterogeneous world. We should remember that what AI does is not only decision-making, but content production at mass scale and that will be relevant for some areas, but not for others.”

On the opening day, delegates heard a forward-looking vision for the future of artificial intelligence from Kanishka Narayan, Minister for AI and Online Safety at the Department for Science, Innovation and Technology, who outlined a series of thought-provoking initiatives, aimed at ensuring the UK remains at the forefront of AI innovation while delivering tangible benefits for communities, businesses and workers.

During his presentation, the Minister emphasised that the AI revolution must be shaped not only by technological advancement, but by a distinct approach rooted in public trust, design excellence and societal benefit. “The central question of AI is not only what the technology can do, but who has agency over it,” said Narayan.

On day two, Adjunct Assistant Professor Ekaterina Abramova joined the panel AI Is Live. Now What? – Leadership in 2026, moderated by Reuters Editor-at-Large Axel Threlfall. The panel focused on the realities of deploying AI at scale. Discussions centred on managing risk, compliance and accountability, while ensuring organisations can realise the full value of their AI investments. Panellists examined the leadership frameworks required to navigate high-stakes decisions where mistakes can be costly and governance is essential.

Dr Abramova opened by saying “When you think about AI, you shouldn't just think about the LLMs. We should think in a much wider perspective. Machine learning, which is a subfield of AI, is a broader field than just large language models. It is comprised of other fields, such as reinforcement learning, which is able to adjust its actions based on the observed rewards received from the environment it interacts with”.

When asked about the volatile jobs market and advice she gives to students, Dr Abramova said, “Everybody is worried about future job placements – however over the medium term, we are definitely augmenting versus replacing all workers. Businesses and organisations have a responsibility to use AI for good, but they must first upskill their staff and CEOs, to go beyond what they know about AI and enrol on a technical training course, to demonstrate a top-down approach to managing AI”.

The summit was preceded by a one-day AI Skills Accelerator, led by Associate Professor Keyvan Vakili from LBS’ Data Science & AI Initiative. Designed for senior executives responsible for AI strategy, transformation and governance, the training programme combined case discussions and practical workshops, to help organisations develop effective AI adoption frameworks. Participants explored how predictive, generative and agentic AI can create business value while reshaping workforce capabilities, operating models and leadership priorities.

Reflecting the maturity of the AI market, this year's summit moved the conversation beyond experimentation and proof-of-concept projects, towards enterprise-wide execution. As the UK's leading event for applied artificial intelligence and a flagship gathering of London Tech Week, the AI Summit London continues to provide a platform for business leaders, technologists, academics and policymakers to exchange ideas, forge partnerships and accelerate responsible AI adoption at scale.

The list of speakers and agenda can be found here - www.london.theaisummit.com.