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Growing Concern Among Workers Over AI's Impact

Recent research indicates a significant shift in workers' perception of artificial intelligence (AI) and its effects on their employment opportunities and overall job security. According to a new national survey conducted by Jobs for the Future (JFF), workers are increasingly viewing AI as a detriment rather than an asset. The findings highlight alarming trends regarding how prepared employers are to support their employees during this technological transition.

Key Findings from the Survey

The survey, conducted by AudienceNet in late 2025, shows that workers are now more inclined to view AI as a net negative when it comes to job hunting, wealth generation, and quality of life compared to previous years. This marks a drastic change from a similar survey in 2024, where a majority felt optimistic about AI's potential benefits.

• - Decline in Optimism: In the latest survey, only about 39% of workers expressed optimism about AI’s impact on their jobs, down from nearly 50% the previous year. This reflects a growing concern over AI’s integration into workplaces and its potential to displace jobs rather than enhance them.
• - Lack of Training: Alarmingly, just 36% of respondents reported they had the necessary training to effectively use AI in their roles—a significant drop from 45% last year. This lack of support is particularly pronounced among early-career workers, many of whom feel AI is complicating their job prospects.
• - Diminished Influence: The American Job Quality Study (AJQS) indicated that employees who feel they have a say in the use of AI technology at work report higher job satisfaction. However, the JFF survey shows that 56% of workers believe their employers have failed to consult them about the use of AI in their roles.

Early-Career Workers Severely Affected

The findings reveal that young and early-career workers are most adversely affected by AI advancements. Approximately 40% of early-career individuals reported reconsidering their career paths due to AI, completing a stark contrast to only 19% of their more experienced counterparts. Moreover, 27% of these early-career workers indicated that AI has made job acquisition more challenging for them.

The Shift in AI Utilization

Interestingly, the utilization of AI tools is shifting away from mere content generation toward more practical applications such as research (41%), training (38%), and innovation (37%). This shift demonstrates a growing recognition of the evolving skillset required to thrive in AI-augmented workplaces. Workers understand that upskilling is essential, with nearly half highlighting the need to acquire new skills due to AI’s influence.

Many workers, especially from minority backgrounds, are planning career changes as they adapt to this technological landscape. For instance, 38% of workers of color expressed they might need to change their career paths, with 44% indicating an urgent need to learn new skills. This data suggests a pressing concern over equitable access to training in an era increasingly influenced by AI.

A Broader Perspective on AI

Beyond the workplace, societal sentiment around AI's implications has worsened. Approximately 44% of survey respondents now believe AI does more harm than good, particularly affecting job markets, economic security, and quality of life. Notably, half of the women surveyed identified AI as more detrimental than beneficial, signifying an urgent need for further dialogue around the impact of AI—especially for underrepresented groups.

As AI continues to permeate various sectors, the onus lies on employers and policymakers to enhance support frameworks that empower workers to adapt to and engage with emerging technologies. It is paramount that training initiatives keep pace with technological advancements to mitigate anxiety and job insecurity among workers.

To address these challenges, JFF is committed to transforming workforce systems to ensure AI's benefits are equitably distributed. More comprehensive training initiatives and stakeholder engagement in decision-making could significantly enhance job satisfaction and economic opportunities for all workers as we navigate an AI-driven future.