Meta Moves 7,000 Workers to AI Roles Amid Restructuring and Job Cuts

Meta Platforms is moving about 7,000 workers into new artificial intelligence-related roles as part of a broader restructuring that also includes planned job cuts later this week, according to an internal memo reported by Bloomberg. The changes show how quickly the company is reorganizing its workforce around AI, even as it prepares to reduce staff in some areas.

The memo described the reassignment as part of a wider effort to redirect employees toward work tied to the company’s AI priorities. While the exact departments affected were not detailed in the summary provided, the move affects a large number of workers and signals that Meta is trying to retool existing talent rather than simply hiring all of its AI staff from outside.

The shift comes as major companies increasingly use artificial intelligence not only in products and services, but also in back-office operations and support functions. Standard Chartered, the UK-headquartered bank, has also announced plans to cut thousands of roles over the next several years as it expands its use of AI. According to reporting from the BBC and Bloomberg, the bank said some affected employees could be moved into other roles, underscoring a common theme across industries: automation is changing both what companies need from workers and how they organize their teams.

Standard Chartered’s plan is especially notable because it targets corporate-function and support jobs, which are often seen as among the easiest to automate. Bloomberg reported that the lender intends to eliminate thousands of such roles over four years, while aiming to improve efficiency and profitability. The BBC said the bank wants to move some employees into other parts of the business, rather than relying only on layoffs.

Taken together, the two companies’ plans highlight a broader corporate trend: businesses are reshaping their workforces to make room for AI while reducing roles that can be handled more cheaply or efficiently by technology. For employees, that means some jobs are being redesigned into AI-focused work, while others are being cut or shifted. For companies, the challenge is balancing cost savings with the need to keep enough human expertise in place as they adopt new tools.