🐯虎嗅•Stalecollected in 25m
SAP Panics: AI Reorg and Usage Pricing

💡SAP's AI panic exposes enterprise struggles: slow iteration, bypass risk
⚡ 30-Second TL;DR
What Changed
CEO柯睿安 reorganizes board, focuses on AI product development.
Why It Matters
Highlights enterprise software's AI urgency; usage pricing aligns costs with value, potentially accelerating adoption but pressuring margins.
What To Do Next
Trial SAP's new FDE service for custom AI in your ERP stack.
Who should care:Enterprise & Security Teams
🧠 Deep Insight
AI-generated analysis for this event.
🔑 Enhanced Key Takeaways
- •The shift to usage-based pricing is specifically targeting SAP's 'Business AI' suite, aiming to monetize consumption of Joule and generative AI agents rather than traditional seat-based licensing.
- •The reorganization involves a significant consolidation of the 'Cloud ERP' and 'AI Platform' divisions to reduce latency between core product development and AI feature integration.
- •Internal reports suggest the FDE team is tasked with addressing 'hallucination risks' in enterprise data, a primary reason cited by DSAG members for avoiding current SAP AI implementations.
📊 Competitor Analysis▸ Show
| Feature | SAP (FDE/Usage) | Salesforce (Agentforce) | Oracle (Fusion AI) |
|---|---|---|---|
| Deployment | On-site FDE customization | Low-code/No-code agents | Pre-built AI modules |
| Pricing Model | Consumption-based | Consumption-based | Subscription/Embedded |
| Primary Focus | ERP/Supply Chain | CRM/Sales Automation | Financials/HCM |
🔮 Future ImplicationsAI analysis grounded in cited sources
SAP will report a decline in total contract value (TCV) in the next two quarters.
Transitioning from predictable subscription revenue to usage-based pricing typically creates short-term revenue volatility during the migration phase.
The FDE model will lead to increased professional services revenue but lower operating margins.
Deploying specialized engineers to client sites is labor-intensive and scales less efficiently than standardized software delivery.
⏳ Timeline
2023-05
SAP announces Joule, the generative AI copilot, as a core component of its business portfolio.
2024-01
SAP initiates a major restructuring program affecting 8,000 roles to focus on AI-driven growth.
2025-11
DSAG (German-speaking SAP User Group) publishes a report highlighting low adoption rates of SAP's AI tools.
2026-02
SAP stock experiences a significant correction following disappointing Q4 earnings and AI adoption metrics.
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