When SAP reports its third-quarter results on Oct. 21, investors will be looking for more than just the usual cloud numbers. Bank of America Global Research says the software giant's AI story still lacks hard evidence that it is driving new growth, rather than just powering impressive demos.
The bank is looking past traditional metrics like cloud migration and focusing on AI specifics: how many customers are actually using the tools, what SAP is charging for them, and how those tools are being sold. So far, disclosure has been thin, with SAP only saying that roughly 60% of its cloud bookings “include AI.”
What “AI included” really means
That phrase can mean anything from a paid add-on to a feature bundled into a standard contract. The distinction matters because bundled features can show high uptake without lifting revenue, while paid add-ons show up as higher recurring revenue per customer and better retention over time.
SAP has been pitching its AI as more than simple “copilots,” with tools designed to carry out parts of workflows on users' behalf. It recently highlighted its Joule Work AI workspace ahead of a later-October launch. Oct. 21 is the next checkpoint for whether the AI story comes with hard numbers like attach rates, pricing tiers, and customer adoption trends.
Why investors are watching closely
Bank of America's €226 price target on SAP hinges on AI pricing and adoption, not just the 60% cloud bookings figure. “AI included” sounds bullish, but it doesn't automatically change SAP's growth outlook. Enterprise software vendors can bundle new features into renewals to defend market share, which makes uptake look strong while revenue barely moves.
What would move expectations is evidence that customers pay extra and expand usage. For example, a clear paid tier for Joule and data showing rising attach rates across SAP's cloud base would give analysts more confidence to model higher forward recurring revenue. If Oct. 21 brings that kind of disclosure, the AI story could support a valuation reset. If not, AI may look more like a retention tool inside existing cloud contracts, limiting the scope for a re-rating.
What it means for everyday investors
For everyday investors, the key takeaway is that not all AI growth is created equal. When a company says a large share of its business “includes AI,” it's worth asking whether that means customers are paying extra for the feature or just getting it as part of a standard package. The latter can flatter adoption numbers without boosting the bottom line.
SAP is one of the biggest names in enterprise software, and its AI strategy is being watched as a bellwether for the broader industry. If SAP can show that AI is driving paid adoption and higher revenue per customer, it could signal that the AI boom is translating into real earnings for software makers. If not, it may suggest that AI is more of a defensive move to keep customers from switching.
Investors will also be watching how SAP's results fit into the wider tech landscape. The company's performance can influence sentiment across European and global tech stocks. For context, other tech-driven stories this week include Japan's Rapidus racing to prove 2-nm chips and Momenta's robotaxi ambitions, both of which highlight the ongoing push for cutting-edge technology.
On the macro side, rising US Treasury yields have been putting pressure on global markets, and soft US jobs data has added to the uncertainty. These factors could influence how investors interpret SAP's results, especially if the broader market is risk-averse.
Ultimately, Oct. 21 will be a test of whether SAP can back up its AI narrative with numbers. For investors, the focus should be on the details: attach rates, pricing tiers, and customer adoption trends. If those are strong, the AI story gains credibility. If they're vague, the market may remain skeptical.
