Over half of professionals report that AI trainings feel like a second job,according to a recent LinkedIn survey highlighting widespread frustration among workers with the proliferation of workplace automation programs.

A majority of respondents (51%) expressed irritation with the intensity and frequency of AI training requirements, stating that it’s interfering with their core job responsibilities and contributing to burnout. Employees cited dense training modules, unrealistic deadlines, and a lack of clarity about practical benefits as key sources of dissatisfaction.

LinkedIn found an 82% increase in people posting on the platform about feeling overwhelmed and navigating change this year. “The mounting pressure to upskill in AI is fueling insecurity among professionals at work – with a third (33%) admitting they feel embarrassed by how little they understand it, and 35% saying they feel nervous talking about AI at work for fear of sounding uninformed,” LinkedIn wrote.

Workplace impact

These findings come as employers increase investment in upskilling efforts designed to help staff adapt to new AI-based processes. Instead of feeling empowered, many professionals say these trainings add stress and extend their working hours, often without extra compensation or real improvements to workflow.

Is AI a Bubble Market Crash Looming? gary Marcus and OpenAI’s GPT-5 Face Growing Scrutiny

Concerns are growing over an AI stock bubble as corporate spending and investor hype far outweigh results. It seems to be tied with this frustration over ineffective or stumbling AI training efforts.

MIT’s sobering findings

The MIT NANDA report analyzed hundreds of AI deployments and found only 5% produced rapid revenue acceleration or noticeable operational improvements. the majority of pilots stall in the testing phase or get abandoned, with large companies taking nearly a year to scale projects that rarely succeed. Flawed enterprise integration and a gap in AI literacy-not just model quality-were cited as the main barriers.

Wall Street and institutional investors are sounding the alarm, worried that record AI investments aren’t translating to profits and could trigger a painful reckoning for overvalued tech stocks. Some have started trimming exposure, fearing that the gap between reality and hype may be unsustainable, reminiscent of prior tech bubbles. The all-crucial