Financial Times asks if AI will reduce layers of middle management

In short: Some business leaders think AI could lead companies to cut layers of middle management, but evidence so far is mixed.

What's going on

A new Financial Times analysis looks at how AI might change company org charts, which are the “who reports to who” maps inside a business. One idea, backed by Twitter co-founder Jack Dorsey, is that AI could make tall hierarchies less necessary.

The argument is that many middle managers spend time turning big goals into smaller tasks and passing information up and down the chain. AI tools can already read and summarize large amounts of data quickly, including internal numbers and customer feedback, which could let executives skip some layers of reporting (like taking an elevator instead of stopping at every floor).

In practice, the article says companies are mostly using AI for smaller, clearly defined tasks so far. That can slow hiring for entry-level roles, like junior software developers, but it has not yet replaced large numbers of senior workers or managers. Still, cutting management layers is tempting financially. The piece notes that the US has about 21 million managers, and their combined pay is enormous when added up.

The analysis also points to examples where fewer layers seem to work. Sweden’s Handelsbanken operates with less centralized management. Germany’s Bayer has used a reorganization approach it calls “dynamic shared ownership,” and it has reduced management positions and cut 12,000 jobs.

What to watch

Governments and many executives still expect strong demand for managers, since good managers do more than move information around. Watch for more companies testing flatter structures and “self-managed teams,” and for clearer proof of whether AI can handle coaching, motivation, and people problems at work.

Source: Financial Times