AI layoffs backfire as 33% of companies lose critical skills and expertise: Report

Two in three employers that cut jobs due to artificial intelligence are already rehiring laid-off workers, often within months of the original layoffs, as many companies confront the unexpected limits of automation in replacing human roles, according to a new study by Careerminds, which surveyed 600 HR professionals in February 2026 who carried out layoffs in the past year. 

The report highlights how rapidly companies have begun reversing those decisions. Among organisations that conducted AI-driven layoffs, 32.7% have already rehired between 25% and 50% of the roles they initially eliminated, while 35.6% said they brought back more than half of the positions they had cut.

In many cases, the turnaround happened quickly. More than half of HR leaders (52.1%) said their organisations rehired for previously eliminated roles within six months. Another 17.8% began rebuilding their workforce within three months, while only 2.1% waited more than a year to do so.

The findings suggest that the rush to automate, often driven by expectations of rapid cost savings and efficiency, has in many cases been followed by what HR leaders describe as “instant regret.”

When AI didn’t deliver

According to the survey, the reality of replacing human roles with automation proved more complicated than many companies expected. More than half of HR leaders said AI systems required significantly more human oversight and judgement than originally anticipated. 

Another 20% reported that their AI tools underperformed or failed to deliver the expected results.

In some cases, layoffs created new problems. One in eight companies said the disruptions caused by the redundancies ultimately outweighed the benefits.

Skills lost in the rush to automate

Beyond operational issues, many companies also discovered that eliminating roles led to a loss of institutional knowledge that was difficult to replace.

A further 28.1% said the remaining workforce lacked the capabilities needed to fill those knowledge gaps. Entry-level roles were hit hardest by AI-led layoffs, with 31.5% of HR leaders identifying them as the most affected group. Mid-level contributors followed at 15.6%.

The cost savings that motivated many of these decisions have also proven less certain than expected. While automation is often viewed as a route to lower operating costs, nearly 31% of organisations said rehiring staff ended up costing more than they had saved by eliminating those roles. 

Another 42.4% said the savings and rehiring costs roughly cancelled each other out, leaving only about a quarter of organisations financially ahead.

These figures do not account for less visible costs such as productivity losses, declining team morale, and the erosion of institutional knowledge.

A rethink on AI-led restructuring

Looking back, most HR leaders say they would approach AI-driven layoffs differently if given another chance.

Only 8.4% of respondents said their restructuring delivered exactly what was promised and would repeat the process unchanged. More than four in ten (41.2%) said they would take a completely different approach, while another 50.3% said they would at least rethink which roles were cut.

The survey also highlights a missed opportunity around redeployment. Over half of HR leaders said up to a quarter of the roles made redundant could have been transitioned into different positions with the right support. Another 28.3% believe between 26% and 50% of those jobs had redeployment potential.

Despite that, 55.1% of organisations admitted that reskilling or redeployment was never formally considered during the restructuring process.

A lesson in workforce planning

The findings reinforce a broader lesson emerging as companies experiment with AI-driven transformations, technology rarely eliminates the need for people as quickly as expected.

More than half of HR leaders (53.8%) said clearer understanding of AI’s capabilities would have helped them make better restructuring decisions. 

Another 40.6% said better data on employee skills would have enabled more informed workforce planning, while one in three said the ability to test restructuring scenarios before acting would have changed their approach.

The report concludes that organisations that struggled the most were those making large workforce decisions without fully understanding how AI would interact with existing roles and capabilities.

The experience suggests that companies adopting AI successfully are less likely to use the technology simply to cut jobs and more likely to deploy it to augment human work, automating routine tasks while allowing employees to focus on higher-value responsibilities.

As companies continue to experiment with automation, the study suggests the real challenge may not be replacing workers with AI, but figuring out how the two can work together.