Capgemini (CAP) investor relations material

Strategic vision, direction, and market opportunity

• Emphasizes leadership in the Agentic AI era as a structural shift, expanding the addressable market by EUR 400 billion to EUR 1.9 trillion by 2030, with a 4%-5% CAGR.

• Five AI-driven value pools identified: modernization of enterprise technology, agentic AI tech stack, agentic control plane, agentic products/services, and agentic enterprise operations.

• Dual value creation model aligns transformation and operational services to client needs, leveraging pre-built assets, ecosystem partnerships, and industry solutions.

• Focus on building IP-based offerings, deep industry expertise, and strategic partnerships with leading tech firms and clients (e.g., Siemens, McDonald's, Barclays, Sanofi, Unilever, Imperial Brands).

• Strong positioning in fast-growing markets such as sovereignty and defense, supported by early investments and successful transformation track record.

Financial guidance, performance, and business model evolution

• Targets a 5.5%-7.5% constant currency revenue CAGR through 2028, with about 2 points from M&A (notably WNS acquisition), and adjusted operating profit margin to expand by 130-150 bps to 12.1%-12.3% by 2028.

• Cumulative organic free cash flow expected to exceed €6 billion from 2026 to 2028.

• Margin expansion driven by higher-value, outcome-based AI services, Fit-for-Growth initiatives, operational discipline, and WNS synergies.

• Balanced capital allocation: 35% dividend payout, €2B share buyback, deleveraging, and selective bolt-on M&A.

• High single-digit net income CAGR projected for 2025-2028, with total shareholder return expected to be double-digit.

AI-driven transformation, delivery, and business model

• Agentic AI enables 30%-70% faster application development, 20% reduction in incidents, and significant automation in delivery and operations.

• Service model shifts from labor-based to outcome-based, with contracts increasingly tied to measurable business value and consulting-led, AI-driven enablement.

• Workforce evolution includes new roles (Outcome Deployed Engineers, agent orchestrators, token economy experts) and a focus on upskilling and reskilling.

• Adoption of agentic AI is gradual, requiring deep industry, domain, and process expertise, with co-existence of legacy and new systems.

• Capgemini’s internal transformation (“customer zero”) demonstrates agentification of processes, with 40% of proposals already deployed via agentic AI.