
The episode addresses the gap between companies' AI investments and their employees' AI training. It highlights that while most companies plan to increase AI investment, very few have mature AI deployments, and even fewer mandate AI training. To bridge this gap, seven steps are outlined, emphasizing that leadership must adopt AI first, fix broken workflows before implementation, and commit to a single AI platform. The discussion stresses the importance of rebuilding skills through comprehensive training, documenting procedures, mandating hands-on practice, and shifting from AI operators to orchestrators. The host suggests companies should focus on AI outputs rather than just usage rates and should encourage employees to experiment with AI to solve departmental problems.
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