Revolut CEO Nik Storonsky Outlines Ambition to Build a European Tech Giant
Speaking in Turin, Storonsky detailed plans for proprietary data centers, internal foundation models, and finance-adjacent software.

Revolut Chief Executive Nik Storonsky plans to expand the fintech firm into a global technology company comparable in scale to Meta, Google, or OpenAI, but built out of Europe, according to remarks reported by The Next Web . Speaking alongside Exor CEO John Elkann at the Wave by Vento conference in Turin, Storonsky outlined a roadmap that extends beyond core banking into related technology products and services.
To support that growth, an executive share agreement reported in August established an internal target valuation of $500 billion for Revolut. To supply the underlying technical infrastructure, Storonsky said the company is building proprietary data centers to train in-house foundation models and large language models using its transaction data. At the same conference, former Vodafone chief executive Vittorio Colao highlighted Europe's broader infrastructure constraints, noting the region maintains less than two gigawatts of total artificial intelligence computing capacity.
On the product side, Revolut plans to enable autonomous AI agents to make purchases for customers using secure payment card details, alongside automated advisory tools for spending, equities, and investment funds. Storonsky stated that Revolut will open its platform so third-party agents can interface with internal agents via the Model Context Protocol (MCP), with each action authenticated by the customer. In July, the company partnered with OpenAI to bundle ChatGPT Go into its subscription tiers.
Storonsky also detailed how AI and automation are reshaping internal operations. He currently manages about 50 direct reports and eliminates middle management layers where possible, frequently working directly with designers and software engineers or evaluating troubled projects firsthand. Comparing company leadership to conducting an orchestra, he argued that founders must understand nearly every discipline to accurately assess performance.
Regarding talent, Storonsky noted that Revolut evaluates candidates on ambition, raw intelligence, and skills, placing the highest premium on drive and first-principles thinking over tenure. Reflecting on his background as a financial trader, he credited market discipline with teaching him to adapt quickly to new data, recalling that Revolut spent its first two to three years focused strictly on survival amid heavy capital burn. Storonsky also noted that earlier fundraising challenges prompted him to launch QuantumLight, an algorithmic venture firm that uses quantitative models rather than human committees to pick investments.
Sources
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