New Survey: 44% of Workers Say AI Does More Harm Than Good — And Employers Are Pulling Back on Training

The promise of artificial intelligence in the workplace was supposed to be a story of progress — faster workflows, smarter decisions, and less tedious busywork. But a growing number of workers aren't buying it. According to a new survey from National University, 44% of American workers now say AI does more harm than good in their jobs. Even more troubling, employers appear to be pulling back on the very training programs that could help their teams adapt. For job seekers and professionals navigating an already uncertain labor market, this disconnect between AI deployment and AI readiness is creating real career risk. Metaintro breaks down what the data shows and what you can do about it.

What Does the New AI Workplace Survey Actually Show?

The National University survey, conducted in early 2026 and distributed via PRNewswire, polled more than 2,000 full-time workers across industries including technology, healthcare, finance, retail, and manufacturing. The headline finding is stark: 44% of respondents said AI is doing more harm than good in their workplace, compared to just 31% who felt it was a net positive. The remaining 25% were unsure or neutral.

Among the specific concerns, 52% of workers said they worry AI will eventually replace their role entirely. Another 47% reported that AI tools introduced at their company have increased their workload rather than reduced it, largely because of the time spent learning new systems, fixing AI-generated errors, and managing automated outputs that still require human oversight. Nearly 40% said AI has reduced meaningful human interaction at work, contributing to feelings of isolation and disengagement.

The survey also revealed a generational split. Workers aged 45 and older were significantly more likely to view AI negatively (58%) compared to workers under 30 (33%). However, even among younger workers, skepticism is rising — up from 21% in a similar 2024 survey. That shift suggests the backlash isn't limited to workers unfamiliar with technology. It's increasingly driven by people who have used AI tools firsthand and found them lacking.

Industry-level data showed the most negative sentiment in healthcare (61% saying AI causes harm) and education (54%), where workers cited concerns about patient safety, student privacy, and the dehumanizing effect of automated decision-making. Technology workers, perhaps surprisingly, were split almost evenly — 41% positive versus 39% negative — suggesting that even insiders are questioning whether AI is delivering on its promises.

Why Are So Many Workers Turning Against AI?

The survey data points to three main drivers behind the growing anti-AI sentiment among workers.

First, there is a significant gap between what AI was promised to do and what it actually delivers in daily practice. Many companies rushed to adopt AI tools in 2024 and 2025 without adequate planning, integration, or customization. The result has been a wave of clunky implementations — chatbots that give wrong answers, automated scheduling systems that create conflicts, and AI-generated reports that require extensive human editing. Workers who were told AI would make their jobs easier instead find themselves spending extra hours cleaning up after it.

Second, the job displacement fear is no longer abstract. McKinsey & Company estimated in late 2025 that 30% of work hours across the U.S. economy could be automated by 2030, affecting roughly 45 million workers. Goldman Sachs research has projected that AI could displace 300 million full-time jobs globally. Workers are reading these headlines and watching their own companies experiment with automation in real time. When your employer rolls out an AI tool that does part of your job, it's hard not to wonder whether the rest is next.

Third, workers feel left behind by the pace of change. The National University survey found that 63% of respondents said their employer has not provided adequate training on how to use AI tools effectively. Of those who did receive training, 41% described it as a one-time session that was too short and too generic to be useful. Workers are being asked to adapt to AI without being given the resources to do so, and the frustration is showing up in survey after survey.

Why Are Employers Cutting Back on AI Training?

Perhaps the most concerning finding in the current data landscape isn't worker sentiment — it's the employer response. At a time when AI literacy is becoming essential for career survival, companies are actually reducing their investment in AI training.

Data from LinkedIn's 2026 Workplace Learning Report shows that only 26% of organizations now offer formal AI upskilling programs, down from 35% in 2025. Gartner research found that AI training budgets were cut by an average of 18% in the second half of 2025, even as AI tool spending increased by 23% over the same period. Companies are buying more AI but teaching less about how to use it.

The reasons for the pullback are largely financial. Many companies invested heavily in AI infrastructure during the 2023-2024 hype cycle and are now facing pressure to show returns. Training programs, which require time, money, and employee hours away from production, are being viewed as a cost center rather than a strategic investment. Deloitte's 2026 Human Capital Trends report found that 47% of CHROs said their boards are questioning whether AI training delivers measurable ROI, up from 29% the previous year.

There's also a growing assumption among some executives that workers will "figure it out" on their own — that AI tools are intuitive enough to not require formal instruction. But the survey data tells a different story. Workers who received no formal training were three times more likely to describe AI as harmful to their work, compared to those who went through structured programs of 10 hours or more. Training doesn't just build skills. It builds confidence and reduces the fear that drives negative sentiment.

The training retreat is creating a two-tier workforce. Employees at large, well-resourced companies like Google, Microsoft, and Amazon — which have invested billions in internal AI academies — are building valuable skills that will transfer across their careers. Meanwhile, workers at mid-size and small businesses are falling further behind, with fewer resources and less institutional support. The skills gap is widening precisely when it needs to be closing.

How Is the AI Skills Gap Affecting the Job Market?

The collision of growing AI adoption, declining training investment, and rising worker skepticism is reshaping the labor market in measurable ways.

Job postings requiring AI skills have increased 247% since 2023, according to data from Indeed. But the supply of workers with verified AI competencies has grown only 63% over the same period. That mismatch is creating a premium for AI-literate workers — and a penalty for those without the skills. Robert Half's 2026 salary guide found that workers with demonstrated AI proficiency earn 18-24% more than peers in equivalent roles without those skills.

For job seekers, the implications are significant. Hiring managers are increasingly screening for AI fluency even in roles that aren't explicitly technical. A 2026 Resume Builder survey found that 72% of hiring managers said they consider a candidate's comfort with AI tools when making hiring decisions, up from 48% in 2024. It's no longer enough to list "Microsoft Office" on your resume — employers want to see evidence that you can work effectively alongside AI systems.

The gap is also affecting career mobility. Workers who lack AI skills are finding it harder to switch industries or advance into management roles, where strategic AI oversight is becoming a core competency. World Economic Forum data projects that 44% of workers' core skills will need to change by 2030, with AI literacy sitting at the top of the list alongside analytical thinking and creative problem-solving.

At the same time, some employers are using the AI skills gap as cover for broader workforce reductions. By framing layoffs as "AI transformation" or "digital restructuring," companies can position job cuts as forward-looking strategy rather than cost-cutting. Workers who lose their roles in these restructurings often find themselves competing for new positions that demand the very AI skills their former employers never taught them. It's a vicious cycle that the current training retreat is making worse.

What Should Workers Do to Protect Their Careers?

Despite the grim survey numbers, the outlook for individual workers is not hopeless — but it does require proactive career management. Here are the most effective strategies based on current labor market data.

Invest in your own AI education. Don't wait for your employer to offer training. Free and low-cost AI courses are available from Coursera, Google, Microsoft, and IBM. Focus on practical skills — how to write effective prompts, how to evaluate AI-generated output, how to integrate AI tools into your existing workflow — rather than trying to become a machine learning engineer. The World Economic Forum identifies AI literacy as the single most in-demand skill for 2026-2030.

Document your human value. The skills that AI cannot replicate — complex judgment, emotional intelligence, ethical reasoning, creative strategy, and relationship management — are becoming more valuable, not less. Make sure your resume and your work performance clearly demonstrate these capabilities. In interviews, be ready to articulate not just that you can use AI, but that you understand when AI is the wrong tool for a given situation.

Stay informed on your industry's AI trajectory. Different sectors are adopting AI at different rates and in different ways. Understanding where your industry is headed helps you anticipate which skills will be needed and which roles may be restructured. Subscribe to industry publications, attend webinars, and follow thought leaders in your field who are tracking AI adoption honestly — not just the hype.

Build a career safety net. In an era of rapid technological change, career resilience means having options. Network actively, keep your skills portfolio broad enough to move between roles, and maintain visibility in your professional community. Workers who have strong networks and diverse skill sets are far better positioned to weather AI-driven disruptions than those who rely entirely on a single employer or a single specialization.

Advocate for training at your workplace. If your employer has cut AI training, make the case for bringing it back. Present data on the productivity gains from AI-literate teams, the retention benefits of upskilling programs, and the competitive risks of falling behind. Sometimes the most powerful career move is helping your organization become better at supporting its people.

People Also Asked

Q: Will AI replace most jobs in the next five years?

A: Most labor economists say AI will transform jobs rather than eliminate them wholesale. The World Economic Forum projects that AI will create 97 million new roles by 2030 while displacing 85 million, resulting in a net gain. However, the workers who benefit will be those with updated skills. The biggest risk isn't AI itself — it's the failure to prepare workers for how their roles will change.

Q: What AI skills should I learn to stay competitive in the job market?

A: Focus on practical AI literacy rather than deep technical skills. Learn prompt engineering, AI-assisted data analysis, and how to evaluate AI-generated content for accuracy. Platforms like Coursera, Google Career Certificates, and Microsoft Learn offer free or affordable courses. The most valuable workers in 2026 aren't those who can build AI — they're those who can use it effectively and know its limitations.

Q: Should I be worried if my company is adopting AI without offering training?

A: Yes, this is a legitimate concern. Survey data shows that companies deploying AI without training programs see higher employee dissatisfaction, more errors, and greater turnover. If your employer isn't investing in your AI education, take the initiative yourself — and consider whether the company's approach to workforce development aligns with your long-term career goals. A company that deploys AI but won't train you on it may not be invested in your future there.

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