SAP Puts Four-Fifths of Product Development Into AI, but Won't Put a Number on the Payoff
Published on 10/23/2026 at 13:11 | Editorial boerse-global.de
SAP has trained the bulk of its engineering firepower on artificial intelligence, yet the software maker is still declining to say what that effort earns. Roughly 80% of its product development resources now go to AI, according to a Handelsblatt report — a figure that covers development specifically, not the group's total spending. The disclosure sketches the priority the technology holds internally without answering the question investors care about most: how much revenue it actually generates.
Chief executive Christian Klein conceded to the paper that some functions remain under construction and are not yet live. No standalone AI revenue line has been published, which leaves the commercial impact of the build-out only partly verifiable from the outside. A commentary published today by the Frankfurter Allgemeine Zeitung argues that SAP is well placed thanks to its stockpile of data and its resources, while cautioning that a decline of the company cannot be ruled out on principle. A favorable verdict, in other words, is no guarantee that SAP defends its current standing indefinitely.
The hard numbers still come from the cloud
Tangible evidence of growth continues to arrive from SAP's cloud business. Cloud revenue reached EUR 6.668 billion in the third quarter of 2026, a 25% increase at constant currencies, as group revenue came in at EUR 10.270 billion. Adjusted operating profit climbed 18% to EUR 3.030 billion, and free cash flow rose 36%.
Cloud expansion and AI success are not the same thing. Without a separate revenue disclosure, there is no way to determine how much of that growth the new functions contribute. The quarterly figures document the business's trajectory, not an independently measurable AI top line — and they are no substitute for proof that customers are spending extra on AI features.
Should investors sell immediately? Or is it worth buying SAP?
A backlog that beat expectations — and a share price that responded
Wednesday's results, which showed group revenue up 13% and cloud revenue up 26% on the figures reported at the time, gave the stock a tailwind: the shares gained 3.4% yesterday. The cloud backlog stood at EUR 24.1 billion, 28% above the year-earlier level, and Reuters reported that SAP surpassed expectations on that measure. That distinction matters for reading the market reaction. Strong growth alone does not fully explain the move — the backlog clearing the consensus bar did part of the work.
Brokerages drew different conclusions. Deutsche Bank Research lifted its price target to EUR 235 from EUR 200 yesterday and reaffirmed its buy rating, with analyst Johannes Schaller pointing to the beat and the growing commercial weight of the "Autonomous Enterprise" offering. JPMorgan, by contrast, kept SAP at "Neutral" with a target of EUR 175. Its analyst Toby Ogg also flagged the backlog's climb above consensus, yet his restrained stance shows that convincing operating numbers do not automatically translate into a buy recommendation.
Buyers want to know where the AI comes from
Alongside the growth debate, a new customer demand has moved into view. Finance chief Dominik Asam told Reuters yesterday that clients are asking increasingly about the origin and control of the AI models embedded in SAP's software. The company integrates more than 70 models from a range of providers, and customers want to know both where those models come from and which governance rules apply to them.
That shifts attention away from raw capability toward provenance and oversight — a concrete requirement on the offering rather than a verdict on its performance. Asam's remarks describe customer questions, not a reported strain on the business; no order decline or change to guidance can be inferred from them. For investors, they add a practical dimension to the growth story: the integration of AI has to be explainable to buyers, not merely technically sound.
Two levels therefore frame any assessment of SAP. The established business is delivering rising revenue and profit, while the AI strategy opens possibilities whose financial scale is not yet separately reported. The decisive test is execution — functions must move beyond the development phase and demonstrate their economic value. SAP's data base and resources suggest favorable conditions, as the FAZ commentary notes. How much additional business emerges from them remains the open question behind that 80% commitment.
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