The conversation about AI and jobs has been dominated by one question: will it replace me? A new survey suggests workers have moved past that — to a more unsettling worry: what if I can’t function without it?
🔍 THE BOTTOM LINE
ACC’s AI Identity Report, based on a survey of 1,000 full-time US workers conducted in May 2026, found that 74% are more concerned about becoming too dependent on AI than about falling behind in adopting it. The fear of job loss, which dominated headlines for two years, has been overtaken by a quieter anxiety: that routine reliance on AI is eroding the very skills workers value most.
The Productivity Paradox
The survey reveals what ACC calls a “Productivity Paradox.” Workers estimate AI saves them an average of 15 hours per week — a significant time gain. Yet only 31% say AI makes them substantially more productive. Another 37% describe AI as more of a distraction than a productivity boost.
The disconnect is striking. If AI saves 15 hours a week but doesn’t translate into felt productivity, where is the time going? Mike Moschella, Head of ACC Intelligence, offered one explanation: “More information from AI doesn’t automatically translate into greater productivity, because it opens up another challenge of deciding what to trust and how to act on it.”
The finding echoes Gallup’s earlier polling, which found that 65% of US workers reported productivity gains from AI while simultaneously experiencing rising anxiety about job security. The ACC data adds a new dimension: even workers who use AI daily aren’t convinced it’s making them better at their jobs.
AI Guilt and Hidden Usage
The most surprising findings are emotional. Among surveyed workers:
- 30% say using AI has felt like cheating
- 23% have felt guilty because AI made a task feel too easy
- 17% have hidden their AI tools or workflows from colleagues
- 10% admit they have lied about using AI to complete work
Younger workers show the highest guilt rates. According to the IT Brief US report, 40% of Gen Z respondents said using AI feels like cheating — a finding that complicates the narrative that younger workers are uniformly comfortable with AI.
The concealment data is particularly relevant for employers. Only 28% of workers primarily use a company-wide or team AI platform. The rest rely on free tools or personal subscriptions, building their own AI ecosystems outside organisational oversight. This creates challenges for accuracy, confidentiality, and governance — employees are adopting AI faster than companies can set standards.
Monica Chun, President of ACC, framed the shift: “The conversation around AI has focused almost entirely on whether it will replace jobs. Our work suggests people are increasingly worried that relying on AI could erode the abilities they value most, fueling anxiety about becoming too dependent on a technology they’re increasingly expected to use.”
What Workers Actually Fear
The specific anxieties are about skills, not employment status. According to the full report released via PR Newswire:
- 66% worry AI could diminish their creativity
- 66% worry AI could erode writing skills and critical thinking
- 74% fear becoming overly dependent on AI
These are not abstract concerns. They reflect a workforce that has integrated AI into daily routines — 76% use AI for personal or work tasks — and is now reckoning with what that integration costs.
The pattern aligns with earlier research. A peer-reviewed study published in Nature Scientific Reports earlier this year found that AI learning dependence in education directly correlated with interpersonal incompetence. The ACC survey suggests the same anxiety has migrated from classrooms into the professional workforce.
The Trust Shift
Beyond the workplace, the survey found that AI is becoming a primary information gateway. Just over half of respondents (51%) say AI is now their first stop when they need information. Sixty-one percent trust information from AI more than social media, and 43% have made purchasing decisions based on AI recommendations.
This matters for employers because workers aren’t treating AI purely as an office tool. They’re using it as an intermediary for discovery, evaluation, and decision-making — including outside formal workplace settings. The blurring of personal and professional AI use makes governance harder, not easier.
The NZ Angle
New Zealand workers face the same dynamics. As Stuff reported on August 15, the “jobs apocalypse” narrative doesn’t match what’s happening on the ground. NZ Law Society data showed entry-level legal jobs growing, not declining. International hiring trends for developers and radiographers are up. The workforce is adapting, not collapsing.
But the ACC data suggests NZ employers should watch the psychological layer, not just the hiring data. If 74% of workers fear dependence more than job loss, companies pushing AI adoption without addressing skill erosion risk losing worker confidence — even as productivity metrics improve. The challenge isn’t whether to adopt AI. It’s how to help people use it without feeling diminished by it.
For more on how AI is reshaping the career landscape, see our coverage of AI engineering jobs surging 255% and the data center hiring boom.
❓ FAQ
What is the AI Identity Report? A survey of 1,000 full-time US workers conducted by DKC Analytics using the Pollfish platform in May 2026, commissioned by the Acceleration Community of Companies (ACC). It examines the psychological relationship between workers and AI.
Why do workers feel guilty about using AI? The survey suggests that when AI makes a task feel too easy, some workers experience guilt — as though the work wasn’t genuinely theirs. This “AI guilt” is most prevalent among Gen Z workers, 40% of whom said using AI feels like cheating.
Is fear of AI dependence justified? The survey captures perception, not proven harm. However, 66% of workers worry about creativity and skill erosion, and only 31% feel AI makes them substantially more productive despite saving 15 hours a week. The gap between time saved and felt productivity is worth attention.
What should employers take from this? ACC recommends that businesses focus on helping people use AI without losing confidence in their own capabilities. The onus is on organisations to provide training, governance, and support — not just tools.
🔍 THE BOTTOM LINE
The AI jobs narrative has been stuck on replacement for two years. The ACC survey suggests the real conversation is happening somewhere else entirely — in the quiet space between using AI and wondering if you’re still the one doing the work. Seventy-four percent of workers fear dependence more than job loss. Sixty-six percent worry about creativity erosion. A third feel like they’re cheating. These aren’t the anxieties of people resisting AI. They’re the anxieties of people who’ve already adopted it and are now asking what it costs. Employers who ignore that question — who measure success only in adoption rates and hours saved — risk a workforce that’s efficient on paper and uncertain underneath.
