Artificial intelligence was sold as the great liberator. It would handle the repetitive tasks. It would free employees for strategic thinking. It would reduce burnout and increase efficiency. The data tells a different story.
Korn Ferry’s Workforce 2026 Global Insights Report surveyed over 16,000 professionals across 11 countries. While 63% of employees agreed AI increased their efficiency, 52% reported that AI tools actually increased the number of tasks expected in their role. 79% of CEOs said AI increased efficiency, but only 51% of individual contributors agreed.
AI is now the most-cited reason for layoffs since January 2026. Yet the technology is only able to take away some workload from a single employee. The remainder gets redistributed to remaining staff. Fewer people. Same work. More tasks per person.
Why This Happens
Organizations see AI efficiency gains and make a predictable calculation. If one person can now do the work of two, why keep two people? The answer is simple for the spreadsheet. It is devastating for the remaining employees.
When layoffs follow AI implementation, the work does not disappear. It gets redistributed. The remaining employees absorb the tasks of their departed colleagues. They are expected to use AI to handle the increased volume. But AI can only do so much. The rest falls on human shoulders.
There is also the AI management problem. Employees now spend time prompting AI tools, reviewing AI output, correcting AI mistakes, and integrating AI results into existing workflows. This work is invisible in productivity metrics but consumes real hours. The tool that was supposed to save time creates new categories of work.
The Korn Ferry report also found that 62% of employees experienced significantly heavier workloads over the past two years, and 61% are now doing the work of more than one role. Employee motivation dropped from 71% in 2024 to 61% in 2026 .
Leaders and workers see different realities. 79% of CEOs believe AI increased efficiency. Only 51% of individual contributors agree. The gap between perception and experience grows wider.
Why This Will Continue Without Intervention
Organizations are not measuring the right things. They measure AI adoption rates. They measure productivity per employee. They do not measure how many tasks each employee is juggling. They do not measure the invisible labor of managing AI tools.
Layoffs driven by AI efficiency create a cycle. Fewer employees do more work. They burn out. They leave. The organization hires replacements who must learn the systems and absorb the same workload. The cycle repeats.
The remaining employees do not complain. They fear being next. They absorb the extra work silently. They use AI tools as instructed. They hope the situation improves. It does not.
How Moody At Work Resolves This Issue
Moody At Work helps organizations see the workload reality that AI metrics miss. Through continuous engagement tracking, companies identify where employees are overwhelmed before they burn out. Anonymous feedback channels reveal what employees cannot say directly about their capacity.
Moody At Work does not share data with Google, Meta, or any outside domains. Employee feedback stays inside the organization. Workers can speak honestly without fear that their words will be harvested, analyzed, or sold.
Recognition programs ensure that invisible labor is seen. Real time data enables leaders to measure what matters, not just what is easy to count.
The 52% of employees whose workload increased deserve to be heard. Moody At Work helps organizations listen.
Source: Korn Ferry Workforce 2026 Global Insights Report