How SAP Became Europe's Most Valuable Company | Bloomberg Tech: Europe

Key Concepts

SAP, Cloud Transformation, On-Premise Licenses, Cloud Subscriptions, 2027 Deadline, Business Processes, AI, Large Language Models (LLMs), Joule (SAP's Digital Assistant), AI Foundation for Business Data, EU AI Act, Data Sovereignty, Hyperscalers, Growth Strategy, Applied AI.

SAP's Transformation and Future Growth

The Pivotal Decision of 2020

In 2020, shortly after becoming the sole CEO, Christian Klein made the crucial decision to shift SAP away from on-premise licenses to cloud subscriptions. This decision was prompted by the realization that SAP's existing business processes and systems were incompatible with the cloud-based business model of acquired companies like SuccessFactors. Klein recognized that continuing with the traditional ERP model would lead to SAP's decline, emphasizing the need for faster innovation and reduced upgrade costs for customers. He stated, "If you hadn't made that decision, that transition, SAP would not be here today. Game over."

The 2027 Deadline and Growth Beyond

SAP has set a deadline of 2027 to transition customers from legacy licenses to cloud products. This deadline is driven by the need to maintain and support third-party components that are also shifting to the cloud. Klein argues that this transformation is not merely about moving customers to the cloud but also about enabling real business transformation. He uses examples of large customers like Exxon, BP, Amazon, and Microsoft, who are only 20% through their cloud transformation journey with SAP. He believes that by focusing on mission-critical business functions and providing a new platform, SAP can ensure positive growth beyond 2030.

Differentiation and Business AI

SAP differentiates itself through its deep understanding of business processes across various functions (sales, HR, finance, supply chain). Klein highlights the example of companies like Kone or Schindler, which require predictive maintenance and real-time information across their global factories. SAP is uniquely positioned to provide end-to-end solutions delivered in the cloud.

Regarding AI, SAP believes that large language models (LLMs) will be commoditized. SAP is adopting an agnostic approach, using different models for different use cases. The key differentiator is SAP's ability to connect LLMs with its AI Foundation for Business Data, enabling end-users to ask questions and access business data through Joule, SAP's digital assistant. Klein argues that this combination is unmatched by other tech companies.

Concerns about Becoming a Backend Provider

Klein addresses concerns that SAP might become a backend data infrastructure provider with consumer-facing applications built on top. He argues that no AI workflow can replace a real business application. While AI will change how business applications are developed (code generation, test automation), the need for applications that understand business context and roles will remain.

Europe's Role in the AI Race

Infrastructure vs. Software Layer

Christian Klein believes that the AI race is not yet decided on the software layer. While the U.S. and China have a lead in hardware and infrastructure, Europe can still excel in developing AI use cases for industries like life sciences, logistics, and manufacturing. He argues that focusing solely on building data centers without demand from the software layer is not the right approach. Instead, demand for chips and data centers should be driven by the development of AI applications.

The EU AI Act and Regulatory Environment

Klein expresses concerns about the EU AI Act, stating that while the intent is right, the implementation is problematic. He argues that Europe needs a single framework for AI regulation, not multiple overlapping policies from member states. He emphasizes the need to focus on competitiveness and opportunities before regulation. He says that the current regulatory environment hinders scaling for startups due to inconsistent interpretations of the AI Act across different countries.

Data Sovereignty

Klein defines data sovereignty as the location of data and who has access to it. SAP offers a European cloud managed by SAP, providing customers with data sovereignty. He argues that hardware components from the U.S. are not a major concern as long as data is located in Europe and access is controlled.

Reliance on U.S. Hyperscalers

While SAP works with U.S. hyperscalers for their infrastructure, automation, and reliability, Klein asserts that SAP is not dependent on them. Customers can shift their workloads to SAP's own data centers if they choose.

SAP's Future and Growth Potential

Investor Confidence and Potential Headwinds

SAP's stock price has seen significant gains since Christian Klein became CEO, reflecting investor confidence. However, Christina Kyriasoglou points out potential headwinds to continued growth. While 40% of SAP's customer base has started the cloud migration journey, 60% remain. This migration is time-consuming and expensive, and the macroeconomic environment can impact customers' spending decisions. The key question is how much of future cloud growth will be driven by innovative products like applied AI, rather than just migrating existing business to the cloud.

SAP's Advantage in AI

SAP has a significant advantage in AI due to the meaningful data in its systems (HR, finance, supply chain, order management). The challenge is to build great AI products on top of this data. This is a competitive area, with companies like Amazon and Microsoft investing heavily in AI.