BBVA CEO Onur Genç said in London on Tuesday that artificial intelligence (AI) will drive the next major transformation of the sector and that the bank is very well positioned to address this new cycle. The Group was a pioneer in the digitalization era and is taking the same approach to AI: early adoption, rapid scaling and a transformation around this new technology. “We do believe we are embracing this technology better than our competitors,” he said during his participation in the CEO conference organized by Bank of America.

Europe’s Markets in Crypto-Assets (MiCA) Regulation has done more than bring order to the crypto market. It has also laid the groundwork for modernizing financial infrastructure through tokenization.

FC Internazionale Milano and BBVA have officially presented their partnership at a media event held at the club’s headquarters in Milan. The event also coincides with the launch of new BBVA offers in Italy, where the bank is now approaching one million customers.

BBVA has provided BizAway with €10 million in financing to support its acquisition of Dutch company Uniglobe Alliance Travel. The transaction will enable the scaleup to bolster its presence in Northern Europe, expand its customer base in the Benelux region, and move forward with its goal of becoming the leading corporate travel partner across the continent. The financing benefits from the support of the European Union and the European Investment Fund (EIF) under the InvestEU program.

Twenty-one leading international financial institutions have committed to establish a new company in H2 2026, subject to closing conditions, to support the issuance of a stablecoin solution.

Two generative AI assistants developed by the teams managing BBVA’s contact centres in Italy and Germany—the Group’s two fully digital banks—have reduced the average handling time for the most common customer enquiries about products, services and general procedures by more than 15%. By speeding up information retrieval and response preparation, these AI copilots enable customer service agents to resolve routine enquiries more quickly and dedicate more time to more complex cases that require deeper analysis and personalised support.