Most AI training is a disaster. Two-hour webinar, 47 slides, zero follow-up. Attendance drops to 12 people. Nobody uses anything differently on Monday.
That's not training. That's a checkbox.
What Actually Works
1. Role-Specific, Not Generic
Your project managers need different AI skills than your estimators or your safety team. Training should reflect the actual work each role does.
2. Hands-On, Not Theoretical
People learn by doing. Show them how to use AI on their documents, their data, their workflows. Not demo datasets that look nothing like reality.
3. Embedded in Tools They Already Use
If AI lives in a separate platform nobody opens, it dies. The best AI training integrates with existing tools so adoption is natural, not forced.
4. Ongoing, Not One-Off
AI evolves fast. Training should too. Monthly refreshers, new use cases, peer examples of what's working. Make it a practice, not an event.
Measure What Matters
Don't measure "hours trained." Measure:
- Time saved on repetitive tasks
- Quality improvements (fewer errors, faster turnaround)
- Actual tool adoption rates
Good AI training pays for itself. Bad AI training is just another expense line nobody talks about.