Programme — Lead Innovation Day 2026
AI Leadership Conference — May 12, Paris
Updated March 20, 2026 — speakers, facilitators, and topics may still evolve.What we'll work on
Business Model & Value Creation
"Is AI just optimizing existing operations, or creating new value?"
Explore how AI creates entirely new revenue streams and business models beyond efficiency gains.
Strategy & Execution
"Which strategy when change is exponential and impact unknown?"
Navigate strategic uncertainty with frameworks that survive contact with organizational reality.
Resistance & Relevance
"Who in your organization is fighting against AI, why, and what should you do about it?"
Understand the human dynamics blocking AI adoption — and turn resistance into alignment.
Culture & Leadership
"Is your company culture ready for the change? Are you ready to lead them?"
Build the leadership behaviors and cultural foundations that make AI transformation stick.
Schedule
The Intelligence Shift: What Frontier AI Actually Changes for Business
The Human Side of the AI Equation: What's Happening to Us?
12:45
What's Happening in the Real World
We have 100,000 field technicians. How do you bring AI to people who don't sit at a desk?
We run 15,000 trains a day. One wrong prediction costs lives. How do you scale AI when the margin for error is zero?
Regulation was our biggest constraint. We turned it into our biggest moat.
We've made tires for 130 years. Now we're asking: what if AI means we sell fewer tires — and that's a good thing?
We built AI into the platform. Now our customers are asking questions we didn't anticipate.
Business Simulations: Experience the Future of Decision-Making Under Pressure
Strategy simulations place leaders in realistic, high-stakes scenarios to sharpen instincts, see consequences, and refine judgment through rapid feedback.
Strategy & Execution: Roadmap or Experiment?
Do you need a clear AI roadmap up front, or a strategy that learns as you go?
Curated peer tables
15:45
What's Happening in the Real World
Disruptions don't wait. We needed AI that works under pressure — not just in a lab.
We didn't start with the technology. We started with the culture. It was slower — and it was the only thing that worked.
We had governance. We had policies. And none of it was designed for a world where every employee has access to a generative model.
We sit on decades of operational data. The question was: can that data become a product — not just an input?
60 countries, 1,700 stores, hundreds of product lines. We built a Data Factory because local experiments weren't compounding into anything.
Resistance & Relevance: Push or Pull?
Who is resisting AI in your organization — and are they wrong?
Culture & Leadership: Control or Transformation?
Do you need better governance, or a deeper shift in culture and leadership?
Business Model & Value Creation: Efficiency or Reinvention?
Is AI just optimizing existing operations, or creating entirely new value?
17:00
The AI Leadership Gap: Who's Actually in Charge?
Your AI team reports to the CTO. Your transformation reports to the COO. Your data reports to the CFO. Who's actually leading?
Leading the Culture Journey
Workplace culture is created by choice, not by chance. Leave understanding that optimizing culture is an intentional practice.
What AI Leaves Us
AI writes, analyzes, decides, and predicts. So what's your job now? Map the skills and roles AI can't replace in your organization.
Build Your AI Roadmap in 120 Minutes
Start with your real strategic context. In rapid rounds, define your AI ambitions, prioritize use cases, map dependencies, and stress-test your plan with peers.
A high-level perspective on the day — format to be confirmed
80 seats — Application-based — May 12, 2026 — EDHEC Paris
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