SAP (SAP) Goldman Sachs European Technology Conference 2026 summary

Key advances in AI and product innovation

• Released over 130 generative AI features and expanded Joule to 1,400 skills, with 30 agents and an AI Agent Hub now live.

• Developed a massive knowledge graph linking 452,000 tables and 7.3 million fields, now leveraged by Joule and extendable via Business Data Cloud.

• Launched RPT-1, a tabular foundation model for predictions, replacing hundreds of narrow ML models and winning a Spotlight Award at NeurIPS.

• Partnerships with NVIDIA and others to advance world models, robotics, and agentic governance, with a focus on secure agent lifecycle management.

Impact of agentic AI and evolving software landscape

• AI is disrupting user interfaces and software development, with intent-driven ERP and Generative UI elements already in use.

• Low-code and AI pair programming have boosted developer productivity and enabled rapid extension building for customers.

• Commercial models are shifting to consumption-based AI Units, metered by business outcomes, with less reliance on seat-based subscriptions.

• Defensive moats include proprietary data, contextual models, and strong customer trust, supporting resilience against disruption.

Competitive dynamics and industry positioning

• Model commoditization is pushing providers up the stack, but deep domain knowledge and enterprise readiness remain barriers for new entrants.

• Partnerships with hyperscalers and AI startups are prioritized, while monitoring the market for strategic acquisitions.

• Business Data Cloud integrates SAP and non-SAP data as data products, enabling agents to access contextually rich information for planning and analytics.

• High attach rates for AI and BDC in deals, with tools like SAP Build supporting customer customization and extension.