What top creators are saying about SAP SE(SAP)

Mentioned as an earnings-calendar item, without an earnings estimate or investment recommendation.

Cited as an example of an application business that succeeded on database technology; the comparison suggests AI applications may also create value beyond underlying models, but is not a buy recommendation.

SAP beat cited Q3 revenue and EPS estimates, with reported year-over-year revenue growth of 10% and EPS growth of 15%. No further guidance or valuation analysis was provided.

SAP was mentioned in an earnings-calendar discussion without stock-specific investment analysis.

Mentioned as an upcoming or relevant earnings report, without a specific investment view.

Mentioned only as an upcoming earnings report; no company-specific forecast or recommendation was provided.

SAP is tightening API controls to protect its platform moat, potentially limiting customer choice and creating friction for third-party agent use. The transcript did not establish whether this strategy is superior.

SAP is described as important infrastructure that procurement agents can update or work alongside, although systems of record may not capture the emails, analysis, and exceptions behind final outcomes. No company-specific outlook or recommendation was given.

Named as a participant in NVIDIA's Open Agent Safety Platform; no separate investment outlook or recommendation was provided.

Deep institutional stickiness, complex compliance integrations, and high switching costs protect it against rapid AI disruption, presenting a value opportunity amid compressed valuation multiples.

Valuation multiples have been overly discounted due to overstated AI replacement fears, protected by strong distribution moats and mission-critical workflows.

Coding agents are automating software migration and integration, potentially eroding the traditional enterprise moat SAP has held due to system complexity and switching difficulty.

Viewed as a SaaS-based alternative for investors rotating out of crowded AI supply chain trades.

Risk of G&A function reduction and seat-count pressure as AI automates traditional enterprise workflows.

Highly resilient investment due to its status as a core system of record for global businesses.

Recently announced policies banning AI agent access to APIs, leading to bearish sentiment regarding data protectionism.

Facing disruption from AI-native digital twins and custom AI-built software stacks that bypass legacy enterprise systems.

Identified as a legacy ERP system that creates significant organizational drag and is vulnerable to AI-native data lake alternatives.

Aggressively protecting its proprietary data ecosystem from AI scraping to maintain its enterprise software moat.

Identified as a 'value SaaS' play for rotation as hardware reaches all-time highs.

Expected to grow earnings by 18% and trades at a reasonable 21x multiple after being recently oversold.

SAP's Grow AI Cloud ERP is highlighted for its predictable pricing and ability to help businesses scale efficiently without increasing headcount.

Businesses may increase investment in SAP's AI Cloud ERP and supply chain tools to find internal efficiencies during prolonged economic conflicts and supply chain disruptions.

While unlikely to disappear, its market position is under pressure as AI lowers moats and compresses software valuations.

Shifting toward a partnership model with Palantir instead of direct competition.

Low risk of AI replacement due to deeply embedded nature in enterprise workflows and regulatory complexity.

Identified as a major enterprise client utilizing foundational AI models for business efficiency.

Expected to maintain relevance as a critical data layer for autonomous AI agents.

Listed as a legacy software giant at risk of growth stagnation as corporate budgets shift to AI and its combined new revenue is projected to be dwarfed by AI-native companies.

Mentioned as a slower-growing traditional ERP competitor, used as a benchmark to highlight ServiceNow's superior growth rate.

The company's competitive advantage of high switching costs is at risk of being eroded by new AI tools that simplify data and workflow migration to competitors like Oracle.

Mentioned alongside Salesforce as another major enterprise software company whose business model could be challenged by AI, as companies could use AI to replicate its software functionality in-house.

The company's competitive moat, built on high customer switching costs, is considered a long-term risk as AI is expected to dramatically lower the cost and difficulty of migrating to competitor systems.

Mentioned in a broadly bearish outlook for the SaaS sector, facing an existential threat from AI agents that could commoditize its offering and lead to massive pricing pressure.

Mentioned as a deeply integrated enterprise software giant that is difficult for large companies to replace, providing a potential moat against AI disruption.

The plunge in its stock price is cited as evidence that the software sector's problems are global, not just a U.S. issue.

The speaker has a strong bearish view, noting the stock was 'hammered' and fell 17%. They personally regret not shorting it, seeing the traditional SaaS model as under threat from AI.

Stock was down 15-16% after a slight revenue miss, which the host views as an unjustified, massive overreaction for a company of its size.

Mentioned as an example of a traditional SaaS company facing an 'existential threat' from advanced code-generating AI, which could make its business model obsolete.

Business model is considered at risk of disruption from generative AI, part of a 'SaaS Apocalypse' theme where companies that fail to pivot are described as 'doomed'.

Mentioned as a competitor following the trend of pitching embedded AI agents as a key value proposition for its enterprise customers.

Mentioned as an exception to a generally bearish outlook on the software sector, as its highly complex enterprise software would be very difficult for current AI to replace.

An entrenched incumbent that is difficult to displace and is now moving aggressively on AI, suggesting it is likely to get stronger rather than be disrupted.

Positioning itself as an AI company by embedding AI to solve real-world business problems, offering investors exposure to the AI theme through an established enterprise player.

As the parent of Concur, it is positioned as a legacy incumbent with 'old school' methods facing a significant disruptive threat from AI-native competitors. Investors are advised to be aware of this competitive risk.

Highlighted as a 'picks and shovels' of AI, providing AI-powered capabilities for businesses. This B2B AI opportunity represents a massive and potentially more stable growth area.

Faces a significant long-term disruption risk as the emergence of unified, AI-native operating systems for enterprise could make its model of selling separate software applications obsolete.

The company's strategic focus on using AI to solve critical business problems like supply chain management positions it as a potentially valuable partner for companies looking to build resilience.

The CFO was quoted as being direct about leveraging AI to 'produce more software with fewer people,' signaling a strong commitment to using AI for major productivity gains and maintaining a competitive edge.

At a critical inflection point where future growth depends on developing and monetizing AI products as cloud growth is expected to slow. A partnership with OpenAI for 'sovereign AI' is a promising but early development.