When AI Reshapes Work: Cut Jobs or Redesign Roles?

If AI allows a team of five to produce the output that once required ten people, what should leaders do next? For decades, technology has increased productivity and reshaped the way work gets done. Automation changed factories. Software changed offices. Now generative AI is beginning to reshape knowledge work in similar ways.

The difference is how quickly the shift is happening. Tools that summarize research, draft analysis, and generate insights are already embedded in everyday workflows. Tasks that once took hours can now be completed in minutes.

The capability is real. The implications for the workforce are only beginning to unfold.

The Story of the Smaller Team

Recently, companies such as Block have been candid about restructuring efforts tied to automation and AI adoption. Leadership, including CEO Jack Dorsey, has argued that advances in automation allow smaller teams to accomplish work that once required significantly more people.

At the same time, organizations like Morgan Stanley are investing heavily in AI systems that assist analysts, advisors, and operations teams. These tools can surface insights, summarize research, and prepare materials in seconds.

In both cases, the pattern is similar. AI is not replacing entire organizations, but it is compressing the amount of labor required for certain kinds of work.

What once required ten people might now require five.

This leaves leaders facing a strategic question: when technology dramatically increases productivity, what should happen to the workforce that produced that work before?

The Debate: Job Elimination vs. Job Redesign

The Case for Job Elimination

Some leaders see the answer as straightforward. If AI allows a smaller team to produce the same output, organizations no longer need the same headcount. Reducing staff lowers costs, improves margins, and helps companies stay competitive in markets where efficiency is rewarded.

From this perspective, resisting workforce reductions simply delays the inevitable. Technology has always replaced certain kinds of work, from industrial automation to software eliminating clerical processes. AI may simply accelerate that pattern in knowledge work.

For leaders who take this view, adopting AI aggressively and restructuring teams accordingly is a rational business decision.

The Case for Job Redesign

Others argue that focusing only on elimination misses the larger opportunity. Most AI systems do not replace entire roles. They automate specific tasks within those roles. That means jobs evolve rather than disappear.

When repetitive work is reduced, employees can focus more on higher-value activities such as strategy, client relationships, creative problem solving, and complex decision making. Organizations that reinvest productivity gains into new capabilities may unlock growth rather than simply shrinking their workforce.

From this perspective, the leadership challenge is not deciding which jobs to eliminate. It is redesigning roles so people can operate at a higher level alongside AI.

History suggests both outcomes will occur at the same time. Some roles will shrink. Others will expand. Entirely new kinds of work will emerge.

Where do you stand?

If AI allows a team of five to produce the output that once required ten people, what should leaders do with that productivity? Should organizations reduce headcount to capture efficiency gains? Or should they redesign roles so employees can focus on higher-value work that AI cannot easily replicate?

As AI continues to reshape how work gets done, the question may not be whether jobs change. It may be how leaders choose to respond when they do.