Nik Storonsky outlines Revolut’s ambition to become a global tech company beyond banking by 2034.
Speaking at Wave by Vento in Torino, the Revolut CEO said the goal is to build a business of similar scale to Meta, Google, Anthropic or OpenAI — but from Europe — and “not be only in banking, but also in other services, technology services that enhance people’s lives.” By 2034, Revolut should be “a much bigger part of our lives and helping us with many more things than just banking or financial services.”
Revolut is already building proprietary models such as Pragma, trained on its transactional data. “We have thirty, forty million of transactions happening every day,” Storonsky noted, and the company is constructing its own data centres to train them.
Near-term AI plans include shopping capabilities: users tell AI by Revolut (AIR) what to buy, it browses stores and purchases securely with stored card details. The same system will offer financial analytics and advice on stocks, funds and personal finances — effectively “your own kind of financial system, which can buy things, invest in things, advise you on your financial life.”
Revolut also intends to open its platform so third-party AI agents can interact with its own via MCPs (with customer authentication). Storonsky prefers this open approach over a closed ecosystem.
His comments signal a shift: Revolut is using AI, proprietary data and models to expand well beyond core banking into broader everyday services, aiming to compete at the scale of the largest global tech companies by its 20th year.
Speaking at Wave by Vento in Torino, the Revolut CEO said the goal is to build a business of similar scale to Meta, Google, Anthropic or OpenAI — but from Europe — and “not be only in banking, but also in other services, technology services that enhance people’s lives.” By 2034, Revolut should be “a much bigger part of our lives and helping us with many more things than just banking or financial services.”
Revolut is already building proprietary models such as Pragma, trained on its transactional data. “We have thirty, forty million of transactions happening every day,” Storonsky noted, and the company is constructing its own data centres to train them.
Near-term AI plans include shopping capabilities: users tell AI by Revolut (AIR) what to buy, it browses stores and purchases securely with stored card details. The same system will offer financial analytics and advice on stocks, funds and personal finances — effectively “your own kind of financial system, which can buy things, invest in things, advise you on your financial life.”
Revolut also intends to open its platform so third-party AI agents can interact with its own via MCPs (with customer authentication). Storonsky prefers this open approach over a closed ecosystem.
His comments signal a shift: Revolut is using AI, proprietary data and models to expand well beyond core banking into broader everyday services, aiming to compete at the scale of the largest global tech companies by its 20th year.