DXC Technology Company (DXC) investor relations material

Strategic transformation and business model evolution

• Pursuing a dual-track strategy: improving core professional services and developing fast track, AI-driven solutions.

• Fast track initiatives focus on agentic AI, with faster time to product and revenue, leveraging proprietary assets like the Hogan banking system.

• Emphasizing outcome-based, compute-driven projects with differentiated metrics and modular, replicable SaaS offerings.

• Building on legal and technical moats, especially in legacy systems, to create defensible, high-margin products.

• Ongoing cultural and operational shift to encourage self-driven AI learning and adoption across teams.

Market dynamics, client engagement, and industry trends

• Clients, especially in regulated sectors, are cautious about adopting agentic AI, requiring high reliability and portability.

• Decision cycles for large deals are lengthening as boards scrutinize agentic alternatives, introducing near-term volatility.

• Procurement processes are slow to adapt to outcome-based buying, creating a lag between solution readiness and client adoption.

• Strategic relationships are increasingly valued, with clients seeking partners capable of guiding them through AI and cloud transitions.

• IT budgets are flat or slightly down, with capital allocation constrained by traditional planning cycles despite rapid tech advances.

Financial strategy and capital allocation

• Share repurchases are set to increase, with buybacks, organic investment, and debt reduction all prioritized.

• M&A is deprioritized in favor of organic growth and selective acqui-hires, given significant internal opportunities.

• Focus remains on unlocking higher valuation as a combined unit, but breakup value is acknowledged as a fallback.

• Restructuring and workforce changes are anticipated as AI adoption shifts job requirements.