A new Korn Ferry report dropped in September 2026 and the numbers are brutal. Sixty-two percent of employees surveyed said their workloads have gotten significantly heavier over the past two years. Almost half said they are too busy to deliver meaningful results. And here is the kicker: employee motivation dropped from 71 percent in 2024 to just 61 percent in 2026. Leadership has a massive problem, and most organizations are not even close to solving it.
This is not some niche HR report that only consultants care about. Korn Ferry surveyed more than 16,000 professionals across 11 global markets, from individual contributors all the way up to CEOs. The findings paint a picture of a workforce that is stretched thin, burning out, and losing faith that the people at the top understand what is actually happening on the ground. For anyone in a leadership role, this data should be uncomfortable.
The Two-Job Problem Is Real
More than three in five employees now say they are performing the responsibilities of more than one role. Companies cut headcount, replaced roles with AI tools, and told everyone to figure it out. The result? People are doing two jobs and getting paid for one. And when they have to manage AI on top of their regular tasks, it feels like taking on a third job with no training manual.
The leadership failure here is not that companies adopted AI. It is that they deployed it without redesigning the work around it. They handed employees new tools, kept the old expectations, and added AI management as yet another responsibility. Forty-four percent of survey respondents said they are stretched beyond their capabilities at work. That is not a skills gap. That is a leadership gap.
The organizations getting this right are doing something different. They are asking three simple questions before rolling out any new technology. What should humans still own? What can machines handle? And how do the two actually collaborate on a daily basis? Sounds obvious, right? Yet the Korn Ferry data shows that most companies skip this step entirely. They buy the tools first and redesign later, if at all.
Managers Are the Missing Link
Here is a number that should alarm every executive. Two in five organizations have cut management roles over the past year. More than half of the managers who remain say they are exhausted. Meanwhile, 52 percent of workers credited their managers with encouraging experimentation and new ideas. You just cut the people your employees trust most, and now those remaining managers are burned out.
This is where leadership strategy gets contradictory. Companies want innovation, agility, and faster decision-making. But they keep removing the managers who actually make those things happen. The research is clear: when managers actively model AI use, employees report a 17-point lift in perceived value, a 22-point lift in critical thinking, and a 30-point lift in trust. That is not marginal improvement. That is transformational.
Smart leadership teams are investing in their managers instead of cutting them. They are giving managers the authority to experiment, the space to fail, and the training to guide teams through AI adoption. Microsoft’s Work Trend Index found that when managers created psychological safety around experimentation, employees reported up to 20 points higher AI readiness and were 1.4 times more likely to use AI tools regularly. The manager is not overhead. They are the multiplier.
The AI Adoption Gap Is a Leadership Problem
About half of individual contributors said AI improved their efficiency. Compare that with 79 percent of CEOs who said the same thing. That gap between what leaders believe and what employees experience is the real productivity paradox. It is not that AI does not work. It is that leadership teams are measuring the wrong things and ignoring the friction that frontline workers deal with every day.
Only 19 percent of AI users in Microsoft’s survey are what researchers call “Frontier” users, meaning both the individual and the organization are high-readiness. The largest group sits in a messy middle where both capability and organizational support are still developing. Sixteen percent are completely stalled with low capability and minimal support. And 10 percent have built strong individual skills but lack the systems to actually apply them. That last group is the most frustrating for employees and the most expensive for companies. People want to use these tools, but leadership has not built the infrastructure to support them.
We explored this dynamic in detail when we covered how AI productivity gains are not translating into company-wide financial returns. The short version: organizations are investing in tools but not in the workflows, training, and cultural shifts that make those tools effective.
What Good Leadership Actually Looks Like in 2026
The leadership playbook from five years ago does not work anymore. Here is what the data says actually works right now.
First, stop measuring activity and start measuring outcomes. Busyness is not productivity. Forty-four percent of workers are stretched beyond their capabilities, yet many are still being evaluated on hours worked and tasks completed rather than business impact. Second, redesign roles before you deploy new tools. The Deloitte 2026 Human Capital report found that organizations who intentionally redesign how humans and machines collaborate are more likely to exceed investment returns. Third, rebuild motivation by prioritizing what matters most. Motivation dropped 10 points in two years because people are drowning in low-value work that AI could handle if leadership bothered to restructure it.
The companies pulling ahead are not necessarily the ones with the most advanced AI. They are the ones where leadership redesigned work, invested in managers, and built cultures where people feel safe to experiment. We covered the reality that redesigned workflows are the exception, not the rule, despite 60 percent of companies already having AI agents deployed.
The question for every leader right now is simple. Are you actually changing how work gets done, or are you just adding technology on top of broken processes? Because the workforce has voted with their motivation scores, and the answer is not encouraging.
For deeper leadership insights and timely industry news, connect with The Business Series for expert analysis on workforce trends, management strategy, and organizational change.
