The future doesn’t belong to the companies with the best AI, but to those that learn the fastest. The perfect time to start was yesterday. The second best is today.
TL;DR: Knowledge is good, action is better. Here’s a concrete checklist for L&D managers and IT executives to start the AI transformation now. Your roadmap for implementation:
For L&D managers:
[ ] Stop blanket training. Instead, develop role-based learning paths. A front-end developer needs different AI skills than a data scientist.
[ ] Create a clear business case. Quantify the ROI of upskilling: What does a 10% increase in productivity mean? What does it cost to lose a top developer vs. training them?
[ ] Build a learning ecosystem. Foster a culture of continuous learning with a mix of formal training, internal knowledge hubs, and hands-on projects.
For team leads of developer teams:
[ ] Redefine the developer role. Actively communicate the shift from “coder” to “AI orchestrator.” Adjust career paths and expectations.
[ ] Strategically introduce tools such as GitHub Copilot. Establish clear rules for usage, code reviews, and licensing to avoid “shadow IT.”
[ ] Make “responsible AI” the standard. Firmly integrate criteria such as fairness, transparency, and security into your “definition of done.”
Click here for the third and final part of our white paper series:
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