Observed Signal · Sep 24, 2026 · Market Signal · Source: Skillsoft · Impact: 2/5
The AI skill gap is trapping non-users in a deficit cycle
Employees who skip AI adoption get less training, less guidance, and lose confidence faster, widening the AI skill gap over time.
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Recent verified developments and strategic activity across this market segment.
AI Experience Gap: What Employees Get from AI
AI is touted as a time-saver in the workplace, yet real-world gains often fall short. A study by Pendo in collaboration with Appinio finds that while 85% of respondents view AI as exciting and full of potential, many experience frustration as they must continually adjust prompts and rework queries. Among regular users, 96% report weekly prompt adjustments, and 42% refine inputs until the AI response fits their needs. Although 36% say AI saves more than an hour per week, the benefit is partially offset by repeated corrections. Trust in AI results remains fragile, with only 30% believing the outputs are correct and 36% feeling confident to operate tools effectively. Consequently, 80% of employees desire targeted training or clear guidelines from their employers. The study highlights an AI-experience gap that can erode ROI unless user understanding and AI-agent UX are improved, a point underscored by Pendo’s Todd Olson, who emphasizes studying user behavior to optimize outcomes.
Employees Sabotage Company AI Plans Over Job Fears
A t3n report summarizes a Writer survey of more than 1,200 office employees (and a similar number of company leaders) across the UK, US and Europe that finds significant internal resistance to corporate AI rollouts. 29% of employees admitted actively opposing or sabotaging their employer’s AI initiatives (feeding models irrelevant data, using poor outputs, skipping training, manipulating metrics). Respondents cited job protection, safety concerns, weak company AI strategies, creativity loss and increased workload as drivers. Many leaders reported heightened stress. Writer says the issues point to change-management failures and recommends inclusive rollout practices and transparent AI use-cases to reduce fear and internal resistance.
Leaders Must Address Workers' AI Fears
Workers’ fears of being displaced by AI remain widespread and are amplified by recent layoff headlines, increasing anxiety even as enterprise AI adoption accelerates. Leadership messaging shapes that fear: when executives emphasize cost savings or headcount reduction, employees interpret AI as a threat, undermining trust and experimentation, according to Jamie Shapiro of Connected EC. IDC research author Amy Loomis says most workers expect AI to reshape tasks rather than fully replace roles, and concerns often tie to broader economic uncertainty. The article recommends concrete steps for CIOs/CTOs and HR—publish role-based AI impact briefs, commit to reskilling and internal mobility, prioritize early augmentation use cases, provide structured upskilling, involve employees in co-design, and broaden access to AI tools to normalize experimentation and reduce fear.
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