SAP Bets AI Integration Will Reverse SaaSpocalypse Stock Decline

SAP believes the recent stock sell-off affecting enterprise software companies represents an overreaction that will correct itself as the market recognizes which players can successfully integrate AI into mission-critical business systems.

The German software giant's stock declined roughly 20% over the past year during what's been dubbed the "SaaSpocalypse"—a broad downturn in software-as-a-service companies triggered by concerns that generative AI tools from Anthropic and OpenAI could disrupt traditional enterprise software. However, SAP's shares have climbed approximately 40% since late July earnings, when the company reported strong cloud growth and progress in business AI.

Why it matters

SAP's strategy reveals how established enterprise software vendors plan to defend their positions against AI disruption: by leveraging proprietary business data, emphasizing governance and auditability that vibe-coded alternatives can't match, and shifting to consumption-based pricing that aligns costs with measurable outcomes. The approach offers a blueprint for other legacy software companies navigating the AI transition.

Mission-Critical Systems Resist Easy Replacement

Jan Gilg, SAP's global president of customer success and Americas, told Business Insider that concerns about customers replacing packaged software with AI-generated alternatives haven't materialized in practice. "We don't see that, especially for mission-critical purposes," Gilg said. "It's not just about features and functions. It's about auditability, governance, and the maintenance of the software."

While SAP hasn't seen direct replacement, the company faces new budget competition from AI token spending. Gilg noted that customers are already experiencing token costs "go through the roof" and struggling to demonstrate returns on AI investments. "Customers have not yet seen the benefit of AI," he said. "That is certainly something they are digging deeper into now."

Building Proprietary AI Capabilities

SAP developed its first foundational model, Tabular AI, designed to make predictions based on business data. The company is also investing in ontology capabilities—a domain previously associated with Palantir—to enable customers to audit systems and work with AI agents for decision-making. While SAP and Palantir compete in this space, they also partner on data integration.

SAP claims a competitive advantage through data from more than 10,000 customers. "We do see new players out there from Anthropic, OpenAI, Palantir, and so on," Gilg said. "That's going to be the battlefield of the future."

Overhauling the Business Model

The company is transitioning from subscription models to consumption-based pricing for certain products, allowing customers to pay based on actual usage and outcomes. "That's how we charge the consumption of those agents, which is very transparent to customers," Gilg explained. Many large customers now use hybrid models combining both approaches.

Internally, SAP has deployed AI across departments including finance, human resources, and sales. Employees use internal chatbots, AI-assisted coding tools, and market analysis capabilities.

Acquisition Strategy Targets AI Capabilities

SAP acquired Prior Labs, Reltio, and Dremio this year to strengthen its AI and data infrastructure. Gilg expects industry-wide consolidation as valuations decline and AI-native startups emerge. However, SAP will focus on companies whose software is difficult and costly to replace, avoiding areas vulnerable to AI disruption.

"I do see that there will certainly be a level of consolidation from my perspective, especially with vendors focused on single products," Gilg said, citing legal contract management as one potentially vulnerable niche.

These details were first reported by Business Insider.