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CEO STAGE

THE AI Strategic Power Forum

AI IS NO LONGER A TECH CONVERSATION. IT’S A POWER CONVERSATION. 


The CEO Stage of ADOPT AI is the leading international forum dedicated to AI adoption at executive level. 

The 2026 edition will be addressed by President Macron and Ursula von der Leyen.

The CEO Stage convenes 500 to 600 senior executives from leading multinationals across industries for two days of high-level debate on the strategic implications of AI for business leadership.


AI & Leadership

Are you leading the transformation, or delegating it? 

  • My personal AI practice: What does your personal AI practice look like and what changed in your decisions and leadership when you started using it yourself?

  • How I trained my organisation to follow?: What was the moment you realised your organisation needed to change (not just adopt new tools) and what was the first decision you made?

  • What our industry must collectively decide?: If the executives in this room had to align on three priorities for responsible AI leadership in 2027, what would yours be?

AI & Performance

Measuring impact, proving value

  • Why individual gains are not showing up in our P&L?:  Your people are more productive with AI. Your P&L has not moved. What is the gap and whose job is it to close it?
  • How we measure what actually matters?: What is your definition of AI success at the organisational level (not the individual level ) and could you defend that definition to your board today?
  • Who in our organisation is accountable for AI ROI?: Who in your organisation is accountable for AI ROI and how do you ensure AI is treated as a strategic transformation?

AI & Organisation

Redesigning the company — not just deploying the tools. 

  • Where we are in the technology adoption timeline?: The internal combustion engine was invented in 1859. Measurable productivity gains in road transport came 75 years later. Where are you in that timeline with AI  and what does that mean for your board's patience?

  • How we actually redesigned our organisation around AI?: Only 34% of organisations are truly redesigning their business with AI. What separates them from the other 66% and what was the hardest organisational decision you made to get there?

  • What AI is doing to our leadership pipeline?: AI is eliminating junior and mid-level roles first, severing the expertise transmission chain that produced your senior leaders. Who will lead your organisation in ten years, and what are you doing about it today?

AI, Sovereignty and Resilience

Who controls the infrastructure, the data and the energy your competitive advantage depends on?

  • The data I own that no one can replicate: What proprietary operational data does your company own that no foundation model provider can replicate and are you treating it as the strategic asset it actually is?
  • My infrastructure dependency and what I am doing about it: You are running critical operations on Microsoft, Google or Amazon infrastructure. What is your fallback if their pricing, availability or compliance posture changes and have you tested it?
  • Energy, the resource that makes AI possible at scale: AI infrastructure now consumes more energy than entire countries. SoftBank is investing 75 billion euros in AI data centres in France. What does that mean for European energy sovereignty -- and for the decarbonisation commitments you have made to your board?

AI & Society

What do we owe to the people and communities that AI is reshaping?

  • The workforce transition I am responsible for: The AI transition will be uneven across sectors, roles and geographies. What is the specific workforce transition you are responsible for -- and what standard have you set for how you manage it?

  • The cultural transformation inside my organisation: What does genuine cultural transformation around AI look like and how do you lead it without losing what makes your organisation distinctive?

  • The long view : building the sectors that come next: New sectors will emerge from AI that we cannot name today -- as refrigeration, modern media and global transport emerged from electricity. What are you doing now to be a builder of those sectors, rather than a survivor in your current one?



AI FOR HEALTH TRACKS

Artificial Intelligence  

& Robotics

  • Closing the Loop: Autonomous High-Throughput Labs
  • Autonomous Factories and Supply Chains: The End of Manual Operations?
  • Assistive Robots for Independent Living, Education and Care
  • How Logistics Robotics Streamline Hospital Care Delivery?
  • AI Infrastructure Race: Chips, Compute and Sovereignty

Drug Discovery

& Life Sciences

  • Self-Driving Labs: Closed-Loop Discovery From Hypothesis to Hit
  • Compressing Discovery Cycles From 6 Years to 12 Months
  • How Close Are We to the Virtual Cell? Toward Programmable Biology
  • AI-Designed Drugs in Humans: From Promise to Clinical Proof
  • Can Synthetic Data Solve the Data Dilemma?

Agentic AI

& Workflows

  • Federated Agentic R&D: Deep Learning for Drug Discovery
  • Agents in the Clinic and Proactive Patient Management
  • Semantic Interoperability: The Language of Agentic Workflows
  • The Multi-agent Cloud: Orchestrating the Global Backbone
  • Agentic AI for Elderly Care: Aging in Place

Entrepreneurship

& Intrapreneurship

  • Mapping the Global Comparative Market for Startups
  • How Large Organizations Are Embedding AI Into Their R&D Culture?
  • From Pilot to Practice: Scaling Innovation Across Health Systems
  • Licensed Where? AI Credentialing and the Cross-Border Deployment Challenge
  • The Gigafactory: When Professional Transformation Becomes an Entrepreneurial Opportunity

Governance, Ethics

& Regulation

  • International Health Systems: A Global Comparative Look at AI Adoption
  • Reframing Ethics as a Growth and Competitive Advantage
  • Medical-Purpose AI Systems: A Multi-framework Compliance Challenge
  • Implementing the AI Act and EHDS as a Health Organization
  • AI in Scientific Research: Framework and Best Practices for Responsible Data Reuse

Future of Care

& Workforce

  • Preventing Diagnosis Delays With Digital Tools and Continuous Monitoring
  • Why Hybrid Care Is Necessary to Relieve Pressure on Aging Health Systems?
  • Derisking Healthcare With Proactive Prevention and the Role of Employers
  • How Is Automation Reshaping the Clinical Skills of Tomorrow?
  • Closing the Knowledge Gap Between Providers and Patients Through Digital Health

AI FOR FINANCE TRACKS

Reinventing Operating

Models with AI

  • End-to-end process redesign
  • AI integrated into critical operations
  • Transition from POC to large-scale transofrmation
  • New organizational models

The AI economy:

Driving ROI, Performance and Revenue Growth

  • Productivity and Efficiency
  • Cost Reduction
  • Creating New Revenue Streams
  • Balancing Investments and Profits

Building Trusted AI

at enterprise Scale

  • Model Governance
  • Security and Cyber Resilience
  • Explainability and Auditability
  • Sovereignty and Regulatory Compliance
  • AI Risk Management

The Agentic Financial Enterprise:

Towards a New Generation of Organizations

  • Autonomous Agents and Task Orchestrators
  • Human-Agent Collaboration
  • Agentic Commerce and Intermediation
  • Transforming Customer Journeys
  • Intelligent Automation of Support and Business Functions

Accelerating AI doption:

Talent, Culture and Change Management

  • Skills Development
  • Training and Onboarding
  • Leadership and Governance
  • Adoption by Business Units
  • Transformation of Roles and Teams

Building the AI-Native

Financial Institution

  • Vision for an AI-Native Company
  • Rethinking the Organisation and Operating Model
  • Managing Transformation Across the Entire Company
  • Anticipating Upcoming Technological Disruptions

AI FOR INDUSTRY TRACKS

From pilots to scale

How Do Industrial Leaders Turn AI Investment into Measurable Value?

  • Proving AI ROI
  • Scaling AI Across Operations
  • Real-World Successes & Failures
  • Agentic AI in Production
  • Rethinking AI Procurement

Energy, climate & frugal AI

Can Industry Lead the Green-AI Transition?

  • AI for Sustainable Industry & Decarbonization
  • Energy-Efficient AI: Frugal AI & Edge Computing
  • Optimizing Energy Systems & Critical Infrastructure
  • Green AI: Balancing AI Consumption & Industrial Impact
  • AI for the Future of Energy

Trust, reliability & gouvernance

When Does Industrial AI Become Safe Enough to Trust?

  • Human-AI Collaboration & Decision-Making
  • AI Governance, Risk & Regulatory Compliance
  • Trusted AI for Safety-Critical Industries
  • Cybersecurity & AI in Industrial Systems
  • Secure AI Deployment: Cloud, On-Premise & Hybrid

Geopolitics & European strategic advantage

Can Europe Lead the Next Wave of Industrial AI?

  • Europe's Industrial AI Competitiveness
  • AI Sovereignty & Strategic Independence
  • Europe's Industrial AI Advantage
  • AI Investment & Industrial Policy
  • AI, Geopolitics & Supply Chain Resilience

 The factory of tomorrow

Agentic, Robotic & Data-Ready: What Does the Industrial Transformation Look Like?

  • Data Foundations: IT/OT/IoT Convergence
  • Digital Twins & Industrial Simulation
  • Agentic AI & Multi-Agent Systems
  • Robotics, Autonomous Systems & Drones
  • AI-Native Software Development

Talent, society & the AI transition

Who Gets Left Behind — and How Do We Bring Everyone Along?

  • The Future of Industrial Work
  • Human-AI Collaboration & Workforce Transformation
  • AI Skills, Training & Upskilling
  • Choosing the Right AI Strategy
  • From AI Hype to Enterprise Adoption

AI FOR RETAIL & CONSUMERS TRACKS

Agentic Commerce & GEO

The battle for sales in the ChatGPT / Gemini era

  • How can a brand “win” in a LLM interface ?
  • GEO: the new product visibility
  • New conversational shopping journeys
  • Brand partnerships with OpenAI / Google: exclusive experiences
  • From retail media to “agent media”
  • Brand safety: controlling recommendation and brand image within LLMs

Agentification of operations 

When the organization becomes autonomous

  • AI agents in purchasing, finance and supply chain
  • Automation of internal decision-making workflows
  • Reduction of organizational friction
  • New operational KPIs: time saved, cost avoided, speed of execution
  • Guardrails: autonomy vs. control, human-in-the-loop

Data & AI Foundation

The foundation for AI at scale

  • “Retail / consumer-ready” lakehouse architectures
  • Real-time & streaming to drive execution
  • Feature stores: industrializing personalization and prediction
  • Data mesh applied to multi-brand organizations
  • Governance, security, compliance: making AI reliable and scalable

AI Transformation at Scale

Transforming the company, not just its use cases

  • AI governance and target operating model
  • Steering through new KPIs: business impact, control, adoption
  • Large-scale deployment across multiple business units
  • Moving from POC to full industrialization
  • Compliance & responsibility: AI Act readiness, control of autonomous agents

AI-Powered Partnerships

 Reinventing the relationship between brands, retailers and platforms

  • Evolution of the CPG ↔ retailer relationship in the AI era
  • Data partnerships: better sharing, activating and monetizing data
  • Retail media, agent media and new collaboration models
  • AI platforms / marketplaces / brands: who will control the customer relationship tomorrow?
  • Partnership governance: trust, transparency, value sharing

AI FOR DEFENSE TRACKS

European Defence Industrial Base

Who Builds Europe’s Defence Future?

  • Building a Sovereign AI Defence Industrial Base: From R&D to Scale
  • Fast-Tracking European Champions: Funding, Procurement, and Growth
  • Scaling National Ecosystems: France, Germany, and EU Synergies
  • Bridging Civil Innovation and Military Applications
  • Defence Supply Chain Resilience and Technological Sovereignty

Operational Revolution

Fewer Exposed Soldiers, More Deployed Machines: What Changes on the Ground?

  • R&D to Frontline: Operational AI in Modern Warfare
  • Autonomous Systems: Drones, Robotics, and Force Protection
  • Protecting Soldiers & Reducing Collateral Damage Through Tech
  • Real-World Warfighting Lessons: Rapid Adaptation and Feedback Loops
  • Human-Machine Teaming and Tactical Decision-Making

Scaling & Deployment

From POC to the Battlefield: Breaking the Deployment Barrier

  • Overcoming Procurement Bottlenecks in Defence Procurement
  • Frank Talk: Startups vs Public Buyers on Scaling Execution
  • Lessons from Crisis Deployment: Fast-Tracking Tech to the Field
  • From Pilot Projects to Mass Deployment: Rethinking Risk & Budgets
  • Evolving Business Models in Defence Tech

Cognitive Warfare & Disinformation

Defending Democracies in the Age of Synthetic Influence

  • AI-Driven Influence Operations & Cognitive Warfare Threats
  • Information Resilience: Protecting Democratic Processes and Elections
  • Real-Time Detection and Response to Synthetic Manipulation
  • Countering Information Warfare: Public and Private Sector Alignment
  • Ethical & Legal Limits of Cognitive Defence Capabilities

Interoperability & Sovereignty

Can Europe Leverage Foreign Models Without Compromising Sovereignty?

  • Navigating Dependence on Foreign LLMs and Cloud Infrastructures
  • European Alternatives: Building Sovereign and Resilient Defence AI
  • Coalition Interoperability: Operating Together with Heterogeneous AI
  • Data Privacy, Non-Interference, and Geopolitical Risk Mitigation
  • Standardizing AI Governance for NATO and EU Operations

AI FOR PEOPLE TRACKS

Augmented Organization

Rethinking work, productivity, and performance in the age of AI agents

  • AI as a response to demographic decline
  • A new toolkit for leading AI agents
  • The future of entry-level careers
  • Knowledge management as a core corporate function
  • Rethinking how we measure and pay for work 
  • Redesigning human-agent organisations: learning to live together

The Great Skills Transformation

Upskilling, recruitement, management & monitoring in the age of AI agents

  • From frozen taxonomies to living skills: a dynamic competency model 
  • Skills or mindset? What we actually recruit for 
  • You can't fast-forward a Senior: why time, adversity and mistakes still matter
  • Defending human imperfection in an optimised organisation 
  • Investing in soft skills

Change the Leadership at Scale

When the entire organization must drive transformation

  • Leadership as the decisive condition and making it visible 
  • The Board's role: granting the mandate and backing execution 
  • Governance without paralysis: mastering technological uncertainty 
  • Culture of truth: say what changes and create the will to act

Culture, trust & well-being

Europe is a step ahead

  • Building psychological safety for the AI era 
  • Trust by design: data transparency as the foundation of adoption 
  • Reinvesting AI savings in people 
  • The 25% gap: closing the gender divide in AI adoption

AI FOR TRAVEL

AI-Augmented traveler experience

Reimagining the end-to-end traveler journey with AI

  • AI Travel Assistants & Intelligent Trip Planning
  • Hyper-Personalized Customer Journeys
  • Conversational Customer Service
  • AI Across the Physical Traveler Journey
  • Next-Generation Loyalty & Customer Engagement

Distribution & Commerce in the AI Era

Redefining travel distribution in the age of AI

  • ChatGPT Commerce & Conversational Search
  • The Future of OTAs & Marketplaces
  • Brand Visibility in AI Search Engines
  • Customer Acquisition & New Distribution Strategies
  • The Evolution of Travel Business Models

AI-Powered Operations Transformation

Scaling AI across travel operations

  • Support Function Automation
  • AI-Powered Revenue Management & Intelligent Pricing
  • Workforce Planning & Demand Forecasting
  • Passenger & Visitor Flow Optimization
  • Measuring AI ROI & Scaling Successful Use Cases

Data & AI Foundations

Building the digital backbone for connected, real-time travel operations.

  • Modernizing Legacy Travel Systems
  • Talk to My Data & Semantic Layers
  • Data Governance, AI Security & Compliance
  • Customer Data Platforms & Data Sharing
  • Scaling Trusted AI Across the Enterprise

Intelligent Infrastructure & Mobility

Powering the future of connected mobility

  • Smart Airports, Rail Stations & Mobility Hubs
  • Predictive Passenger Flow Management
  • Predictive Infrastructure Maintenance
  • Capacity & Operations Optimization
  • AI-Enabled Sustainable & Resilient Mobility