Nearly 89% of employees now use AI at work, but most receive little to no employer-provided training. A survey of 1,000 workers shows that AI has become a routine part of daily workflows, with 41% using it daily and another 33% several times a week. Employees rely on AI for research, writing, data analysis, presentations, and coding—across both technical and non‑technical roles.
Despite this widespread adoption, 46% of workers are self‑taught, while only 33% have access to employer training. About a quarter say their employer offers no AI-related support at all. This mismatch between usage and training is creating a growing skills gap.
Workers report strong productivity benefits: 74% say AI makes their jobs easier, and 68% feel confident using it for everyday tasks. However, confidence drops when navigating company policies—many are unsure what is allowed, and 20% feel cautious due to unclear rules.
Motivation to learn AI is high, driven mainly by the desire to perform better in current roles. But workers face barriers: lack of time, fear of mistakes, limited access to tools, training costs, and insufficient employer support. As a result, universities and degree programs are beginning to formalize AI skill development to fill the gap.
Key takeaways
- AI use at work is nearly universal, but training is not.
- Most workers learn AI tools on their own.
- Productivity gains are clear, but policy uncertainty persists.
- Employees want to build AI skills but face structural barriers.
- Education institutions are stepping in where employers lag.
