Capgemini (CAP) CMD 2026 summary

Strategic vision, direction, and market opportunity

• Emphasizes leadership in agentic AI as a structural shift, expanding the addressable market by EUR 400 billion to EUR 1.9 trillion by 2030, with a 4%-5% CAGR, driven by five AI-related value pools: modernization, agentic tech stack, control plane, agentic products/services, and enterprise operations.

• Focuses on value-centric AI transformation, leveraging deep industry expertise, ecosystem partnerships, and a dual value creation model (Transform and Operate) to deliver outcome-centric transformation and operational services.

• Strategic partnerships with leading AI providers and industry clients reinforce positioning as a trusted transformation partner.

• Building IP-based offerings, strengthening domain expertise, and enhancing delivery models such as Outcome Deployed Engineers to differentiate in the market.

• Early investments in cloud, data, and AI, plus acquisitions like WNS and Altran, reinforce capabilities in intelligent operations and industry-specific process expertise.

Financial guidance, performance, and business model evolution

• Targets a constant currency revenue CAGR of 5.5%-7.5% through 2028, with about 2 points from M&A, and adjusted operating profit margin expansion of 130-150 bps (to 12.1%-12.3%), and over EUR 6 billion in organic free cash flow over three years.

• 2026 outlook: revenue growth of 6.5%-8.5% at constant exchange rates, operating margin of 13.6%-13.8%, and organic free cash flow of EUR 1.8-1.9 billion.

• High single-digit net income CAGR projected for 2025-2028, supported by diversified growth drivers.

• Balanced capital allocation includes a 35% dividend payout ratio, EUR 2 billion share buyback, selective bolt-on acquisitions, deleveraging, and ongoing share buybacks.

• Introduction of Adjusted Operating Profit as a new headline profitability metric, including costs previously excluded, effective from 2027.

AI-driven transformation, business model, and client impact

• Agentic AI adoption requires a reset of technology stacks, orchestration, and governance, driving a multi-year modernization super cycle and making complex projects economically viable.

• Service model shifts from labor-based to outcome-based, with increased focus on consulting-led, AI-driven enablement and outcome-based contracts.

• Intelligent Operations, powered by agentic AI, is transforming enterprise processes, enabling step-change improvements in efficiency, customer experience, and value creation.

• Workforce evolution is underway, with increased demand for business process consultants, software engineers with broader roles, and new positions such as Outcome Deployed Engineers and token economy experts.

• Agentic enterprise processes projected to reshape 50% of enterprise process interactions by 2029.