Two of the world’s largest banks are accelerating the use of artificial intelligence to reshape their workforces, a trend that could eventually ripple across the financial services landscape, including crypto markets. On Tuesday, Standard Chartered said it would eliminate more than 7,000 jobs—roughly 15% of its corporate function roles—by 2030, replacing what CEO Bill Winters called “lower-value human capital” with AI and automation. A day later, HSBC CEO Georges Elhedery emphasized that his firm is focused on retraining its 200,000 employees to stay relevant as generative AI both destroys and creates roles.
Standard Chartered’s announcement came during its Capital Markets Day in Hong Kong. Winters framed the cuts not as cost-cutting but as a technology-led transformation. The bank will lean heavily on AI to boost income per employee by 20% by 2028 and achieve a return on tangible equity of over 15% by 2028 and around 18% by 2030. Back-office centers in Chennai, Bengaluru, Kuala Lumpur, and Warsaw are expected to see the heaviest reductions. The London-listed stock dipped 1.17% on the news, though analysts called the new targets conservative.
HSBC’s Elhedery, speaking at an investor event the following day, said the bank’s immediate priority is ensuring employees remain engaged through the transition. “We all know generative AI will destroy certain jobs and will create new jobs,” he noted, adding that the lender has already appointed its first chief AI officer and is deploying AI across onboarding, KYC, risk monitoring, contact centers, and wealth management. Both announcements follow Japanese lender Mizuho’s plan to cut up to 5,000 roles over a decade.
While neither development directly involves crypto assets, they underscore how rapidly major financial institutions are adopting advanced AI—a shift that could influence institutional approaches to digital assets, customer servicing, and operational efficiency in the long run. The crypto market, often sensitive to signals from traditional finance, may view these moves as a broader tech acceleration rather than an immediate catalyst.
