Workers have mixed feelings about AI in their jobs. Many see AI's potential to make work easier but worry about job security and unfair treatment. Employees want clear explanations when AI makes decisions about their work, pay, or promotions. Without this transparency, workers don't trust AI systems. A Stanford study found that workers want AI to handle repetitive tasks but insist on keeping control and oversight of these tools.

Goldman Sachs research shows that AI's effect on jobs has been limited so far. Only 1.5% of all job postings mention AI, though it makes up 24% of IT job listings. The unemployment rate for jobs most exposed to AI now matches the general economy, easing fears of mass job losses. However, payroll growth lags in jobs where AI is having an effect, like call centers.

Workers using AI tools weekly report lower job and life satisfaction. A German study found no overall mental health harm from AI exposure, but regular AI users felt slightly worse about their jobs. This shows that how workers experience AI matters as much as which tasks it automates.

Many companies are replacing workers with AI, especially in tech. Over 64,000 tech workers lost jobs this year, with Microsoft and Intel leading these cuts. Some CEOs predict AI could eliminate nearly half of entry-level office jobs within five years. But experts warn that companies firing workers for AI may regret it later because humans drive true innovation.

Workers need new skills for the AI era. Jobs now value people skills and emotional intelligence more, while traditional analysis roles may pay less. Employers must invest in training programs to help workers adapt. Without proper reskilling, AI could increase inequality between workers.

The gap between worker expectations and AI's real abilities remains wide. Employees want AI assistants to handle tedious work but keep human oversight. Current AI often falls short of these expectations, creating frustration. Workers also fear AI could bring bias to hiring and promotions. Building human-centered AI that prioritizes worker wellbeing will be key to successful workplace integration.