European Legacy Tech Stocks Emerge as Surprise AI Beneficiaries This Earnings Season
Miles Bennett
SAP, Capgemini, Sopra Steria and OVHcloud all reported accelerating demand in their latest results, driven by the same force: enterprises are moving AI from pilot to full deployment — and the messy integration work that entails is exactly what these incumbents have done for decades.
Why is AI spending flowing to these "old" companies?
Deploying AI inside a large organisation is not a greenfield project — models must plug into decades-old software stacks, fragmented databases and custom applications, while meeting access-control and audit requirements.
This means → the real bottleneck is not which model to pick, but who can wire the model into existing business processes and make it run.
In plain terms = the model is the engine, but Europe's legacy tech firms build the roads and connect the fuel lines — without roads, even the most powerful engine goes nowhere.
A Boston Consulting Group survey found that over 70% of investors doubt organisations have the technical and operational readiness to make AI work.
Which earnings numbers tell the story most clearly?
SAP's cloud backlog grew 26% at constant currency to €22.9 billion; its core ERP systems — the backbone software that runs finance, procurement and supply chains — are becoming the foundation layer for AI deployment.
SAP's recent acquisitions of data specialist Dremio and AI firm Prior Labs signal that making enterprise data "callable by AI" remains a rising strategic priority.
Capgemini raised its full-year growth target after bookings rose 9.2%; Sopra Steria lifted guidance after organic growth accelerated to 5.3% — both are capturing post-deployment integration work as clients move AI into production.
Who gets an extra push from the "data sovereignty" trend?
OVHcloud's public-cloud revenue grew 20.2% in Q3, an early sign that European demand for sovereign AI infrastructure is converting into commercial growth.
This means → European enterprises want AI, but they also want their data housed beyond the reach of extraterritorial laws like the US CLOUD Act.
Airbus has moved sensitive industrial and defence workloads onto France-based Scaleway, using AI tools co-developed with Mistral; roughly 70 critical applications are expected to run on that platform by end-2028.
Can this growth last?
Publicis CEO Arthur Sadoun noted that clients increasingly prefer to run advanced AI models in environments where they control the technology and the data — especially in defence, aerospace and critical infrastructure.
Yet Europe's legacy tech firms face a hard constraint: AI-driven automation will erode low-value consulting and software work, and whether margins can absorb that pressure remains unproven.
In plain terms = the question has shifted from "who captures AI spending" to "how long does the spending last and how thick are the margins" — that is the real test of whether "old money" can hold its seat at the AI table.
Content is for reference only, not financial advice.