What Employees Fear About AI, and What Actually Helps

Ask people on any team about AI in private and you will hear a mix of curiosity and dread, and the dread is growing. In August 2026, 27% of US workers told Gallup that technology could soon make their jobs obsolete. That is a record, up 7 points from a year earlier and roughly double the 13% Gallup recorded when it first asked in 2017.

Gallup adds a detail that matters for employers: so far, the concern appears to be running ahead of actual job displacement from AI. Much of the fear seems to come from uncertainty, and uncertainty is something a company can reduce. This piece covers what the research says employees fear, what makes it worse and the steps that have evidence behind them.

How many employees are afraid of losing their jobs to AI?

Somewhere between a fifth and a half of workers, depending on how the question is asked. Beyond the 27% in its August poll, Gallup’s larger panel study found that as of the first quarter of 2026, roughly 19% of US workers said their job was somewhat or very likely to be eliminated by AI. Pew Research Center’s survey of 5,273 US workers found that 52% were worried about the future impact of AI in the workplace, against 36% who felt hopeful. A third felt overwhelmed, and 32% expected AI to mean fewer job opportunities for them in the long run.

The global numbers point the same way. Mercer’s Global Talent Trends 2026 study, based on nearly 12,000 executives, HR leaders, investors and employees, found that employee concern about job loss due to AI rose from 28% in 2024 to 40% in 2026.

The age gap is new. In 2017 and 2018, younger and older workers gave Gallup similar answers. Today 34% of workers under 45 worry that technology could make their jobs obsolete, compared with 19% of those 45 and older, and for the younger group it now ties with benefit cuts as the most common job worry, ahead of layoffs.

What exactly are employees afraid of?

Losing the job is the headline fear, but the worries underneath are more specific. Mercer found that 53% of employees are worried about lacking future-ready skills. In practice, that often sounds like a fear of becoming the person on the team who falls behind, and therefore the easiest one to let go.

Using AI more does not make the worry go away. Gallup found that frequent AI users were more than twice as likely as occasional users to fear their job would be eliminated within five years. Daily users see firsthand what the tools can do, which may explain part of the gap.

There is also the sense of having no say. In Edelman’s 2025 five-country flash poll on trust and AI, two in three AI distrusters in the UK and US felt AI was being forced on them, and two-thirds or more of respondents in the developed countries surveyed believed business leaders may not be fully honest with employees about the impact of AI on jobs. Fear of the technology and distrust of the people deploying it are hard to pull apart.

What makes employee fear of AI worse?

Not knowing the plan. In Gallup’s tracking, only about one in four US employees (25%) say their organization has communicated a clear plan for integrating AI, which leaves three in four guessing. BCG’s 2026 AI at Work survey found that only a third of frontline employees describe leadership’s AI communications as clear, and just 28% see a strong connection between what leaders say and what the organization actually does.

Layoff headlines. Employees read the news. In a single October 2026 roundup of layoffs linked to corporate AI spending, the Associated Press listed Barclays (about 5,000 jobs, citing “technology change efficiency driven by AI”), Kroger (3,000 corporate roles), Meta (about 8,000 jobs, cut as it ramps up AI spending) and Block (more than 4,000 of its 10,000-plus employees). When peers announce cuts like these, employees naturally wonder whether their own company is drafting a similar list.

No time to learn. BCG’s 2026 data shows 88% of respondents believe they will need major upskilling in the next five years, while only 36% feel properly trained. Asking people to build AI skills on their own time, with no change to their workload, can sound like preparing them to be replaced.

Does fear of AI actually affect performance?

Yes, and the effect is measurable. In Gallup’s panel data, workers with at least some displacement concern scored 0.20 standard deviations lower on engagement and 0.18 higher on burnout, and they were 4.1 points more likely to be actively searching for a job. The Conference Board reports that workers who feel threatened by AI score more than 25 percentage points lower on engagement, effort and intent to stay.

Fear also slows adoption. Edelman found employees were 2.5 times as motivated to embrace AI when they felt their job security was increasing as when they felt threatened, 50% against 21%. A company that wants people to use AI well has a business reason to address the fear, alongside the human one.

What actually helps employees feel less afraid of AI?

No single step fixes it, but five practices have evidence behind them. Most of them depend more on managers than on technology or budget.

An honest roadmap with dates

Silence leaves people to guess. Share which roles and tasks will change over the next 12 to 18 months, what is still undecided and when the next update will come. BCG’s 2026 data suggests clarity also pays off in results: among regular AI users, 80% of those reporting strong strategic clarity but limited access to tools said AI had a measurable business impact, compared with 60% of those with strong tool access but limited clarity.

Paid time to learn

Training on paid time is one of the clearest signals that a company plans to keep people. BCG’s 2025 AI at Work study found that regular use is sharply higher for employees who receive at least five hours of training and have access to in-person training and coaching. Employees value it, too: Mercer found 63% would trade a hypothetical 10% pay raise for opportunities to upskill in AI and digital skills.

A real role in redesigning their own work

The people doing a job know which tasks are tedious, which need judgment and where a tool will break. BCG’s 2026 report urges leaders to “bring people into shaping the change rather than presenting it to them.” SHRM’s guidance on engaging employees without triggering fear recommends inviting employees into the process before decisions are made, and following through on what they suggest.

Regular conversations with their manager

Gallup found that workers who strongly agree that their organization cares about their wellbeing, or that they are respected, were about six to seven points less likely to report displacement concern, and the link was strongest among frequent AI users. Gallup recommends direct manager conversations, mentorship and visible investment in development, because broad communications about AI strategy are unlikely to reach the workers who worry most. Manager support is linked to behavior as well: in organizations adopting AI, employees whose manager strongly supports their team’s AI use are 1.7 times as likely to use AI a few times a week or more.

Visible stories of colleagues who moved

Employees believe what they see happen to people they know. IKEA offers a public example. In 2023 the IKEA retailer Ingka Group told Reuters that it had trained 8,500 call centre workers as interior design advisers since 2021, while its AI bot Billie handled 47% of customer queries to call centres over two years. Internal versions of that story, told by the people who made the move, carry more weight than any memo, and our guide to redeploying people before you replace them covers how to create those moves.

What should HR and managers do this month?

A short list is enough to start:

• Publish a one-page AI plan for each function, with the tasks in scope, what is undecided and the date of the next update.
• Brief managers first and give them a written FAQ, then have every team hear the plan from its own manager.
• Put training on the calendar during paid hours and state the number of hours.
• Set up a small working group in each affected team to test tools and redesign the work.
• Identify the roles where a move is realistic, and share the first real redeployment story as soon as it happens.

Our companion guide on how to tell employees about AI changes includes a sample talk track, honest answers to the questions employees ask and the phrases to avoid. Use it to prepare managers before the first team conversation.

A plan like this needs facts about each role. JobRoute can give you a head start: send us 10 job titles and we will return a free AI exposure sample within two business days, showing which tasks in each role AI can already do and which tools fit that work. You can request the free sample or book a 15-minute call with a founder.