SAP stock is at the center of one of the more interesting disagreements in technology right now. The business is still growing, cloud adoption remains healthy, and SAP remains deeply embedded inside some of the largest companies in the world. What investors are beginning to question is whether that position will matter enough if the company moves too slowly in artificial intelligence.
That concern became more visible after UBS downgraded SAP to Neutral. The argument was not that SAP’s core business had suddenly deteriorated. It was that AI agents appeared to be reaching customers more slowly than some investors had expected and that current cloud backlog growth could begin to moderate. Those are reasonable concerns for a company that has spent considerable time telling investors that AI will become a major part of its future.
The timing of that skepticism is what caught my attention because three senior SAP executives have been buying shares while the argument has become more difficult. CEO Christian Klein bought roughly €325,000 of stock on July 24. Chief People Officer Gina Vargiu-Breuer followed with about €305,000 on August 12, and Thomas Saueressig, who runs customer operations, bought another roughly €267,000 on August 26 at around €178 a share.
I would never build an investment case around insider buying alone. Executives can be wrong about their companies, and roughly €900,000 is not particularly large compared with SAP’s market value or the wealth of senior management. What interests me is the disagreement. Investors are beginning to question whether SAP is moving quickly enough in what may be the most important technology transition of the next decade, while three people with considerably better visibility into the business are putting more of their own money into the stock.
SAP Stock Looks Stronger Than The AI Debate Suggests
The underlying numbers do not describe a company falling apart. SAP reported a second-quarter current cloud backlog of €22.9 billion, up 26% at constant currency. Cloud revenue increased 24%, while Cloud ERP Suite revenue grew 27%. For a company of SAP’s scale, those remain substantial growth rates and suggest the transition toward recurring cloud revenue is continuing.
SAP did lower its operating-profit outlook, although part of that reflected dilution from its acquisitions of Dremio and Prior Labs rather than a sudden breakdown in underlying demand. Cloud guidance remained intact. That does not make the concerns around AI irrelevant, but it matters when deciding whether investors are looking at a deteriorating business or a healthy business facing questions about the next stage of its growth.
The insider purchases become more interesting in that context. Klein bought first, but Vargiu-Breuer and Saueressig bought later at around €178 to €179 a share, after the debate around SAP’s AI execution was already becoming more difficult. They were not simply stepping in after a sudden collapse in the stock and trying to signal confidence at an obviously distressed price.
Saueressig’s purchase is the one I find most useful. His job puts him close to customers, sales, implementation, and the adoption of SAP’s cloud and AI products. If one of Wall Street’s concerns is that customers are moving too slowly onto SAP’s AI offering, I would rather see the executive closest to that process buying shares than reducing his exposure.
That does not make him right, but it provides investors another piece of information to weigh against the growing skepticism.
SAP Stock May Be Getting Judged On The Wrong AI Timeline
There is a legitimate criticism of SAP’s AI progress. The company has talked extensively about Joule, autonomous business processes, and specialized agents operating across finance, procurement, human resources, supply chains, and customer management. Investors have every right to expect those products to move beyond demonstrations and begin generating meaningful usage. The market is likely underestimating how different enterprise AI adoption is from consumer AI adoption.
The AI boom has trained investors to expect extraordinary speed. A new model launches; millions of users can try it within days, and market-share numbers start appearing almost immediately. That is possible when the product is answering questions, creating images, or helping somebody write an email. SAP operates in a very different environment.
A global company cannot hand payroll, procurement, inventory management, or financial reporting to an AI agent simply because the demonstration looked impressive. Permissions have to be controlled, the underlying data has to be accurate, security teams have to approve the systems, and management needs to understand why important decisions were made. In regulated industries, there may also need to be a clear audit trail. Much of this technology then has to connect with software and processes that companies have accumulated over decades. That slows adoption, but I am not convinced that slower adoption automatically means SAP is losing the AI race.
SAP already sits inside the operating infrastructure of thousands of enterprises. It has access to workflows, structured data, and business processes that a standalone AI model does not automatically control. As AI moves from answering employee questions toward changing purchase orders, moving inventory, closing accounts, or approving payments, the quality and governance of the underlying data become increasingly important.
SAP may ultimately benefit from moving at the speed its customers can safely adopt the technology rather than the speed investors want agents released. The investment case depends less on how impressive the next demonstration looks and more on whether AI makes SAP’s existing position inside the enterprise more valuable. That is much harder to measure in a quarterly earnings report.
The Bigger SAP Stock Risk Is Who Owns The Customer Interface
There is still a genuine strategic threat here, and I think it is more important than counting the number of AI agents SAP has released.
Customers do not necessarily need SAP to build every AI tool they eventually use. Large enterprises can develop some internally, while third-party AI platforms can sit above SAP applications and interact with the data underneath. If customers eventually spend their working day inside somebody else’s AI interface while SAP becomes the system quietly storing the information underneath, part of the economic value could migrate away from SAP.
SAP’s defense is the depth of its position inside the enterprise. The closer an AI agent gets to making decisions, the more important the ownership, quality, and governance of the data become. Writing an email is relatively easy. Moving several million dollars, changing payroll, or rerouting a global supply chain carries a very different level of responsibility.
The question is whether SAP can use that position to remain close to the decision-making layer or whether another platform eventually becomes the place where customers actually interact with the business. If the intelligence layer moves elsewhere, SAP could remain extremely important while becoming less economically powerful. The data may still reside inside SAP, but the customer relationship, pricing power, and incremental value creation could increasingly sit above it. That would concern me more than a six-month delay in rolling out another group of AI agents.
This is also why I think investors need to be careful when comparing SAP with consumer-facing AI companies. SAP does not have to be the first to produce the cleverest chatbot. It must be ensured that when artificial intelligence begins doing real work inside an enterprise, SAP remains part of the place where that work gets done. That may ultimately determine whether AI makes SAP more valuable to customers or leaves it providing the infrastructure for someone else’s relationship with them.
SAP Stock Now Has To Prove The Insiders Right
The insider buying gives me a reason to pay closer attention, but the business still has to deliver. The next few quarters should give investors a clearer view of whether cloud backlog remains healthy, whether customers are adopting SAP’s AI tools at a meaningful pace, and whether the company can turn its position inside enterprise workflows into an advantage as AI adoption broadens. Those are much more important to me than how many individual agents SAP announces.
Markets often focus on the most visible part of a technology transition. With AI, that has meant models, benchmarks, demonstrations, and the speed of product launches. The economics may eventually settle somewhere less obvious, particularly inside the systems that control important data and business processes.
SAP already owns a substantial part of that layer, which is why I am reluctant to assume that slower AI adoption necessarily means the company is falling behind. Enterprise customers may simply move more cautiously because the consequences of getting automation wrong are considerably greater when the software controls payroll, financial accounts, and supply chains.
At the same time, SAP cannot let caution become an excuse for losing its interface with customers. If another company becomes the intelligence layer sitting between employees and SAP’s systems, the underlying data could remain valuable while a growing share of the economics goes elsewhere.
For now, SAP stock sits in an unusual position. Wall Street is beginning to question whether its AI strategy is moving fast enough, while three senior executives have responded by putting more of their money into the shares. The buying does not prove the skeptics wrong, but it tells me the people closest to the business are seeing something they are prepared to back with their capital. Over the coming quarters, we should find out whether they are seeing SAP’s AI opportunity more clearly than the market is.
This article was written by Jim Osman from Forbes and was legally licensed through the DiveMarketplace by Industry Dive. Please direct all licensing questions to legal@industrydive.com.