Leaders Say AI Is Saving Time. Workers Are Less Convinced.

New research finds a 28-point gap between leaders and workers on whether AI is increasing organisational capacity, raising a practical question for HR: what happens to the time technology is meant to free up?

Business leaders and employees are seeing different results from workplace AI, according to research published on 15 October by workforce technology company Vertage.

In a survey of 800 enterprise decision-makers and 1,200 workers across six markets, 71% of decision-makers said AI had increased organisational capacity. Just 43% of workers said the same.

The 28-percentage-point difference suggests that the benefits leaders report at an organisational level are not necessarily visible to employees doing the work. It does not, on its own, show that AI has failed to improve productivity: the two groups may be judging capacity in different ways.

The gap between adopting AI and changing work

Vertage’s Outcome Economy at Work study argues that businesses need to do more than introduce AI tools. They also need to decide which activities should change, who is responsible for the results and how employees and automated systems will work together.

The study reports that 74% of enterprises now define significant work around outcomes rather than simply roles or headcount. But only 15% meet the company’s criteria for an advanced level of what it calls “outcome readiness”.

Organisations in that more advanced group reported higher customer satisfaction (91% versus 67%) and stronger delivery of strategic goals (86% versus 65%). These are associations within Vertage’s research, not proof that changing operating models caused the improvements.

“AI adoption no longer separates strong businesses from the rest. Outcome readiness does,” said Edzard Overbeek, Vertage’s group CEO, in the company’s announcement. “The strongest businesses organize people, partners and AI around a clear result, and they keep human judgment at the center.”

What HR should ask next

For HR and employee experience leaders, the question is not just whether staff have access to AI or how often they use it. It is whether the work itself has changed in useful ways.

If a task takes less time, does the employee have more capacity to help customers, solve problems or develop new skills? Or is the saved time absorbed by checking AI output, extra reporting or an unchanged workload?

Managers also need to be clear about ownership. Where an AI system drafts, recommends or completes an action, who checks the result, handles exceptions and remains accountable? Without those decisions, a new tool can sit on top of existing processes rather than improve them.

This echoes an earlier EmEx examination of the time employees spend checking AI-generated work. Faster generation of an answer is not necessarily the same thing as faster completion of a job.

Vertage’s findings are a reminder to measure results alongside adoption: changes in service quality, employee workload, errors, turnaround time and the ability to do work that previously could not be done. The most convincing productivity gain is one employees can recognise in their working day.

The figures are from Vertage’s company-commissioned research, The Outcome Economy at Work, released on 15 October 2026. The study surveyed 800 enterprise decision-makers and 1,200 workers across six markets.