Artificial intelligence is changing how work gets done, but many employees admit they’re faking their AI know-how. At the same time, a large number of companies haven’t made AI learning a priority. This gap between employee needs and employer support presents a clear opening for HR and L&D teams to step up.
Experts suggest HR should create programs that build real AI fluency. This means recognizing different skill levels and offering personalized career paths that help workers gain the AI skills they’ll need. Identifying the critical skills for future roles and supporting transitions into AI-augmented jobs will also be key.
AI Learning at Work: Key Stats
- 91% of C-suite executives admit to pretending they know more about AI than they actually do. On the employee side, 79% say the same.
- Most workers expect they’ll need new AI skills within 5 years.
- 2 in 3 organizations haven’t yet focused on upskilling workers for AI.
- About half of managers or senior leaders have received AI training, but only 23% of individual contributors have.
- Enrollment in generative AI courses has jumped 135% year-over-year.
- 66% of workers say they pay out of pocket for AI tools used at work.
This data reveals a clear mismatch: employees are eager but under-supported, and many leaders feel pressure to keep up but aren’t fully equipped. For IT and development professionals, getting ahead means actively seeking out quality AI training and pushing for workplace programs that fill these gaps.
For those looking to build practical AI skills, there are resources available that match various roles and expertise levels. Explore AI courses by job function and courses by skill level to find training that fits your needs.
As AI becomes more embedded in everyday work, investing in real skill-building is critical. Pretending you understand AI won’t cut it for long — the future belongs to those who get actual hands-on experience and grow their capabilities.
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