SAP's Billion-Dollar AI Infrastructure Push Meets a Stock Wrestling With Resistance

SAP commits $1.17B to Prior Labs and acquires Dremio to solve data readiness for enterprise AI. Stock up 1.61% but overbought at RSI 82.3; cloud revenue grows 27% with backlog up 25%.

SAP has committed $1.17 billion over four years to Prior Labs, a specialist in tabular foundation models, and agreed to acquire Dremio, a lakehouse platform for real-time analytics — twin moves designed to solve what Chief Technology Officer Philipp Herzig calls the real bottleneck for enterprise AI: data readiness, not model quality. The investments come as the company's shares attempt to climb out of a deep hole, having recovered nearly 11% from the May low of €137.62 but still sitting 44% below the 52-week high of €271.60.

The stock recently changed hands at €152.42, up 1.61% on the day, and has edged back above its 50-day moving average of €148.46. Yet the relative strength index at 82.3 signals overbought conditions, and traders are watching two key resistance zones — €159.40 and the €162 area — that must give way for any sustained trend reversal to take hold. The support band between €135 and €138 has held firm so far, but the short-term downtrend remains technically intact until those higher levels are breached.

Data Infrastructure Gets the Cash, ERP Providers Wait Their Turn

The Dremio deal, expected to close in the third quarter of 2026, will transform SAP's Business Data Cloud into an Apache Iceberg-native enterprise lakehouse that stitches together SAP and non-SAP data. Prior Labs' tabular models — designed to work with numbers, tables and statistical data — contrast with large language models by predicting business outcomes such as payment delays, supplier risks and customer churn. The Prior Labs investment will be deployed over four years, with the transaction finalising in the second or third quarter of next year. Financial terms for Dremio were not disclosed.

The strategic logic echoes a recent market signal: Snowflake shares surged roughly 37% after its own results, prompting JPMorgan and other analysts to note that AI monetisation is currently flowing primarily to data infrastructure players rather than large enterprise resource planning vendors. That puts pressure on SAP, whose €175 billion market capitalisation commands a hefty premium over Salesforce's roughly €126 billion. Salesforce itself delivered a mixed picture — 13% revenue growth to $11.1 billion and an upgraded adjusted earnings forecast of $14.06 to $14.12 per share for the year, but second-quarter revenue guidance of $11.27 billion to $11.35 billion landed at the low end of expectations.

Cloud Momentum Remains the Foundation

Operationally, SAP's first-quarter numbers showed the underlying business still firing. Revenue rose to €9.6 billion, operating profit climbed 24% to €2.9 billion and cloud revenue expanded 27%. The cloud backlog, a key forward-looking metric, grew 25% on a currency-adjusted basis to €21.9 billion. For the full year, management targets cloud revenue between €25.8 billion and €26.2 billion and an operating result of €11.9 billion to €12.3 billion.

All new AI capabilities will remain exclusive to cloud customers, a deliberate incentive to push on-premise users toward migration before mainstream support for older ERP versions ends in late 2027. The so-called SAP Domain Models — AI models trained on SAP code, customer telemetry and process data — are scheduled for general availability in the third quarter of 2026. A €100 million partner fund has been set up to accelerate AI software deployment at customer sites.

A Talent Move Underscores the Migration Wave

Oliver Schreiber, a long-serving SAP product manager, recently departed for consultancy UNITY to drive projects on the SAP Business Technology Platform. Observers interpret the move as evidence of sustained demand for cloud migrations — the very engine that underpins SAP's valuation story. The next real test comes when the stock tests the €159 resistance level. A break above that opens the path toward €162; a failure would leave the recovery fragile, even with solid support in the €135-to-€138 range.

SAP reports second-quarter results on July 23. That is when the market will gauge whether the AI transformation is translating into measurable revenue contributions — or whether the stock's technical struggle is a more accurate reflection of investor sentiment.