Banking giant Standard Chartered is set to eliminate thousands of positions as the company accelerates its integration of artificial intelligence (AI) technologies. The UK-headquartered firm announced plans to reduce its back-office workforce by more than 15%, which equates to approximately 7,800 roles, by the year 2030. While the exact locations for these cuts remain unspecified, Standard Chartered has significant back-office operations in India, China, Malaysia, and Poland. The bank indicated that it aims to redeploy some affected employees to different positions within the organization.
This strategic move is a key component of Chief Executive Bill Winters' latest global strategy for the bank, which primarily focuses on Asia and Africa. The announcement also detailed objectives to enhance the company's profitability. Standard Chartered's decision reflects a broader trend across the financial services sector, where institutions are increasingly leveraging AI for tasks previously performed by human employees.
In February, Singapore's largest bank, DBS, revealed its expectation to reduce around 4,000 contract and temporary roles over the subsequent three years. The widespread adoption of AI is anticipated to disproportionately impact workers in the technology industry and recent graduates.
Several major technology companies, heavily investing in AI tools and infrastructure, have already implemented substantial job cuts this year. Meta, the parent company of Facebook, announced in April that it would eliminate thousands of jobs, representing about 10% of its workforce, or roughly 8,000 staff, while also choosing not to fill thousands of open positions. Earlier in the year, Amazon confirmed layoffs affecting over 30,000 employees, and Oracle also reduced its workforce by more than 10,000 individuals.
Standard Chartered stated in a release, "We are scaling practical uses of automation, advanced analytics and artificial intelligence to streamline processes, improve decision-making and enhance both client service and internal efficiency." This initiative underscores the growing influence of AI in reshaping the operational landscape of global financial institutions and the associated impact on employment.
