AI Transformation
Inside LSEG: How a 300-Year-Old Finance Leader Runs AI Experiments When It Can't Afford to Fail
Erica Bourne, Chief People Officer at LSEG, believes AI transformation is a people change before it is a technology change. The London Stock Exchange Group runs the infrastructure financial markets depend on, so it has to innovate without putting that reliability at risk. Her approach keeps people at the helm: accountable for judgment and outcomes, experimenting inside clear guardrails, with each team moving at the pace its risk allows.
In this episode, Erica Bourne joins host Joelle Emerson to talk about why LSEG treats AI transformation as a people change, the guardrails that let a critical infrastructure business experiment safely, and how it decides which tasks to automate, augment, or keep human. She also gets into reverse mentoring for the CEO and board, why LSEG is doubling down on early-career hiring, and how the people function's job shifts from workforce planning to org capacity.
Key Takeaways
Erica Bourne is Chief People Officer at LSEG, the London Stock Exchange Group, where she sits on the Executive Committee and chairs the LSEG Foundation. She joined in January 2023 after four years as Chief People Officer at Burberry and 12 years at American Express, where she rose to EVP leading international HR across more than 30 countries.
AI change is a people change. Erica describes LSEG's goal as an AI-enabled workforce, and she frames the work as organizational transformation and operating model change rather than a software rollout. "It's so much more than a technology change," she says. "It's fundamentally a behavior change."
Human at the helm, not human in the loop. Erica pushes back on the most common phrase in AI adoption. At LSEG the message to every team is that "people remain responsible for judgment, for context. Ultimately, they're accountable." In the lightning round she called "human in the loop" "actually very dangerous."
Give people guardrails, then ask them to experiment. LSEG's SAFER model sets the rules for everyone using AI: stay in scope, be accountable, check for fairness, explain your use, and review before you rely. "We want you to experiment, we want you to lean in," Erica says. "But it's about using the technology in a really responsible way."
Move fast, without breaking things. In critical infrastructure, speed matters, but trust comes first. Erica quotes her CEO: "we want to move fast and clearly not break things because we cannot break things." LSEG backs that up in performance reviews, which weigh how people work as much as what they deliver.
Start with the task, not the role. Instead of debating which roles AI will replace, LSEG breaks jobs into tasks and workflows and decides what to automate, what to augment, and what stays with people. Erica starts by ring-fencing the work only a human should do, then pairs early-career "AI ninjas" with deep subject matter experts to redesign the rest.
Balance a thousand flowers with a few big bets. Everyone at LSEG has access to AI tools, with an AI steering committee, change champions, and cost guardrails around them. Alongside that, a small set of top-down "AI big bets" start from a business outcome, such as applying AI to product development workflows in two contained areas. As Erica puts it, "not every problem requires a frontier model."
Leaders learn in public. Erica took an online MIT course and an AI strategy and leadership course at Oxford, then shared what she learned with her team. Engineering graduates reverse mentor LSEG's senior leaders, including the CEO and members of the board. "I am known as not being the most technical person on the planet," she says. "And if I can lean into this, then our teams can lean into it."
Double down on early careers. While some companies pull back on graduate hiring, LSEG is increasing its early-career intake. "If you don't double down on your early careers," Erica asks, "where is the pipeline of talent going to come from?" The harder work is redesigning the first years of a career now that AI can do much of the analysis, while making sure graduates still learn the fundamentals: engineers "have to know how to code."
Culture comes to life through leaders. Across technology, payments, fashion, and now financial infrastructure, Erica has seen the same four tenets of high performance: clarity of purpose, accountability, continuous learning, and trust. What changes is how they are activated. Two people in the same company, with the same CEO and policies, can have opposite experiences, because "it is the leaders who bring culture to life."
The people team designs org capacity. Erica's team goes first, applying AI in learning, talent acquisition, and onboarding before asking the business to change. She sees the role shifting from workforce planning to org capacity across an internal workforce, an external workforce, and agents. "It is the best time that I can ever remember," she tells her team, "to be in a people team."
Chapters
[00:00] Introduction
[01:25] Meet Erica Bourne
[02:29] Why AI change is a people change
[04:18] Transforming a 300-year-old fintech
[05:57] Human at the helm, not human in the loop
[06:54] The SAFER rules for experimenting
[08:40] Start with the task, not the role
[10:36] Leaders learning in public
[13:34] Balancing experiments with enterprise value
[17:52] Top-down AI big bets
[19:19] Move fast, without breaking things
[22:42] Pairing AI ninjas with content experts
[26:29] Bringing deep experts on the journey
[30:23] It's never too late to start
[33:09] Why LSEG is doubling down on early careers
[35:55] Redesigning early-career roles
[39:58] Four tenets of high performance
[43:20] Culture comes to life through leaders
[46:42] The people team as architect of org capacity
[50:21] Lightning round
[51:49] Closing thoughts
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