Artificial intelligence is no longer an emerging technology—it’s a disruptive force that is reshaping industries, business models, and competitive landscapes. In January 2025, Innosight partnered with the London Stock Exchange Group and Britain’s Most Admired Companies to convene leading strategists, innovators, and AI executives to discuss how organizations can lead in the age of AI.
The event, moderated by Innosight’s Shari Parvarandeh and Andy Parker, featured insights from senior executives across two panel discussions, with Innosight’s Patrick Viguerie providing closing reflections. The discussions highlighted the immense opportunity AI presents—but also the strategic, cultural, and operational challenges companies must overcome to realize its full potential.
The first panel focused on designing a distinctive AI strategy and program, and featured insights from Laia Collazos, Chief Data & Analytics Officer, Coca-Cola Europacific Partners; Andrew Rochester, Group Head of AI, IAG; and Shweta Vyas, Chief Strategy Officer, RELX.
The second panel was on the role of leaders to build an AI-ready culture and organization and included Claire Calmejane, AI Board Member, Investor & Advisor, CAILEG; Emily Prince, Group Head of Analytics, LSEG; and Paul Donegan, Group Digital Innovation Director, Rentokil Initial.
Throughout the event, a mandate emerged: AI is not just a set of tools—it’s a once in a generation strategic shift that demands a rethinking of business models, culture, and leadership. But it also demands speed, because the longer incumbents wait, the more the freedom to act decreases, as competitors make faster moves. Here are five key takeaways that businesses should focus on to capture AI’s potential.
Shift from “AI-first” to “Outcomes-first”
AI should not be the goal—it’s the means to achieve strategic objectives. Organizations that rush into AI implementation without a clear business case risk wasting resources on projects that don’t move the needle. Instead, the question should be: What problems are we solving? Where can AI drive real impact? One panelist emphasized this point: