Udemy’s 2026 Global Learning & Skills Trends Report just landed, and it confirms what I’ve been thinking.
We are WAY past the “let’s experiment with AI” phase. It’s time to move beyond getting the tools in your teams hands and making sure they can use them.
If you want to be a winner, you have to do more than train folks. The winners at AI are going to be organizations that understand we need to change our teams’ mental models. We have to fundamentally rewire how their people learn, experiment, and integrate AI into daily workflows.
In other words, it’s the ones who think strategically about their learning infrastructure.
AI Fluency Must Become Table Stakes
Microsoft Copilot consumption surged 3,400% year-over-year. GitHub Copilot? 13,534%. With 11M+ GenAI enrollments on Udemy, the data is clear: AI agents and agentic AI are now the top net-new skills being learned. This goes way beyond basic prompt engineering.
Adaptive Skills Remain Critical
While AI handles efficiency, humans drive effectiveness. Critical thinking is up 37%, decision-making up 38%, and overall adaptive skills learning grew 25% YoY. Communication, creativity, and judgment—these are the skills machines can’t replace.
Learning in the Flow of Work Makes Skills Stick
3,300+ AI role plays created in just three months. Organizations are shifting from “just-in-case” training to “just-in-time” upskilling, embedding learning directly into workflows where it actually sticks.
Leadership and Ethics Supercharge AI Adoption
AI ethics and governance learning jumped 98% YoY. Leadership ranks as the 6th most consumed business skill. The human response to AI transformation is where success or failure happens—and strong leadership is the force multiplier.
Here’s what keeps me up at night: Only 1% of employers feel ready for AI’s effects. The gap isn’t technical—it’s cultural and strategic.
For nonprofits and mission driven organizations especially, this isn’t about having the biggest L&D budget. It’s about building learning systems that enable continuous adaptation. Creating conditions where people can practice, fail, learn, and apply AI in context.
The question isn’t “What AI tools should we buy?” It’s “How do we ready our team’s point of view so they are ready as technology changes.