New Culture Amp data finds AI adoption is outpacing leadership guidance; more employees need to understand why it matters.
San Francisco, United States (PRUnderground) September 17th, 2026
85% of employees say their organization actively encourages exploration and experimentation with AI, yet 42% say leaders haven't clearly explained how AI will be used to reach company goals.
71% of employees say using AI makes them feel more productive, and increases to 93% with power-users.
Employee awareness of internal career opportunities fell 10 percentage points since July 2025.
Culture Amp, the leading employee experience and performance platform, today released its first AI at Work benchmark, "How Employees Really Feel About AI at Work". The data, drawn from 123 organizations representing approximately 112,000 employees, reveals 71% of employees say AI tools are helping them feel more productive, rising to 93% among the heaviest users. Yet employees across every level of AI use report roughly the same workloads. 72% of power users say their workload is reasonable for their role, compared with 69% of non-users, a difference of just three points.
These findings raise a critical question for companies investing heavily in AI: If employees are creating more capacity, where is that capacity going?
The answer matters because AI power users aren't simply reporting they feel more productive; they are also more motivated at work. Seventy-two percent of the heaviest AI users say their organization motivates them to go beyond what they would in a similar role elsewhere, compared with 57% of non-users.
For leaders, that makes power users more than an adoption metric. They represent a group that is both finding ways to use AI and feeling more motivated to contribute. Organizations that fail to understand what is driving that difference risk treating a meaningful talent group as simply another measure of AI usage.
"Seven in ten employees say AI is making them more productive. Most executive teams would read that as a return on investment," said Amy Lavoie, VP of People Science at Culture Amp. "But I'd read it as an unanswered question, because workload scores remain steady. The organizations that see a genuine return on AI over the next twelve months won't be the ones with the highest adoption rates. They'll be the ones that decided, explicitly, what they were going to stop doing with the time it gave back."
The AI Adoption Gap is Now a Leadership Gap
Employees appear ready to use AI. Eighty-five percent say their organization actively encourages exploration and experimentation with AI. However, only 58% say their leaders have clearly explained where the company is headed. That 58% is the lowest-scoring item in the AI benchmark, a 27-point gap from those who say they're encouraged to experiment.
The pattern holds closer to day-to-day work too: only 60% of employees say their manager shares examples of how AI can support their goals or workflows. Across these organizations, AI use is moving faster than the guidance meant to keep pace with it.
"The workforce is telling us something important," said Amy Lavoie, VP of People Science at Culture Amp. "Employees are telling us they understand the risks, they are using the tools, and they feel more productive. That is not a workforce resisting change. That is a workforce that has done its part and is waiting on leadership to do theirs.
Employees Need More Clarity on Career Opportunities and What Comes Next
That same distance between engagement and direction also shows up beyond day-to-day workload, in how clearly employees can see their own future at the company. Employees are adopting AI with their eyes open, as 86% say they understand the risks associated with using it in their work, the highest-scoring item in the benchmark. That awareness rises steadily with usage, from 67% among non-users to 95% among power users.
What employees have less clarity on is what AI means for their future at the organization. Awareness of internal career opportunities fell 10 percentage points since July 2025, the largest single-year change in the benchmark data set. At the same time, satisfaction with career development has remained at 66%, where it has sat since 2021. Employees aren't less satisfied with the development they're getting; they're less clear about what opportunities they'll have access to next.
"Leaders are being asked to explain a future none of us can see clearly yet. We do not know with certainty which roles AI reshapes, which skills hold their value, or what a career path looks like three years out," said Amy Lavoie, VP of People Science at Culture Amp. "As a result, leaders may go quiet, because saying nothing feels safer than saying something that turns out to be wrong. The most useful thing a leader can do right now is admit the plan is unfinished, and then keep talking anyway. Certainty is not what employees need from you right now. Candor is."
Read more about Culture Amp's AI at Work Benchmark in our blog post.
About the Data: This analysis draws on 342 surveys run by 292 organizations on the Culture Amp platform, representing approximately 112,000 employees and 343,000 individual responses, collected in the 12 months to July 2026. Data comes from Culture Amp's AI Effectiveness survey template, alongside standard engagement survey items.
Respondents span all major regions, with the largest groups in North America, Asia-Pacific, and Europe. Organizations range from under 100 employees to more than 5,000, concentrated most heavily in the 1,000 to 5,000 range. Respondents work across 16 industries, most numerous in technology, professional services, and education. Individual contributors account for roughly two-thirds of the sample, with the remainder spread across manager, director, VP, and C-suite levels.
Employees are grouped by how intensively they use AI at work, standardized into four comparable groups: power users, daily users, light users, and non-users. Career opportunity awareness and career progress figures come from Culture Amp's wider engagement benchmark, a larger population than the AI survey sample; because AI survey participation is voluntary, these organizations likely run ahead of the wider market on AI adoption, so the figures describe AI-engaged organizations rather than all employers.
About Culture Amp
Culture Amp helps organizations assess the readiness of their culture to achieve high performance and act with confidence in an AI-driven world. Powered by 15 years of People Science research and drawing on more than 1.6 billion data points, Culture Amp acts as an always-on intelligence layer, called the CultureOS™, that connects engagement, performance, employee experience and culture data into a single unified platform. Today, 25 million employees across 6,000+ organizations, including Canva, On, Asana, Dolby, McDonald's, and Nasdaq, depend on Culture Amp to drive culture-led performance as work and technology rapidly evolve.
For more information visit www.cultureamp.com.
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