2 posts
OtherAI Training Effectiveness: What Sits Between AI Literacy and AI Adoption
Key Takeaways: AI literacy is only the starting point: knowing what AI tools can do does not mean employees will use them consistently in their work. AI learnability bridges training and adoption: employees need to test AI on real tasks, evaluate the output, retry when it fails, and adapt as the tools change. Training effectiveness goes beyond completion: active usage, task-level application, repeated attempts, and workflow changes reveal what happens after the training ends. Manager support can reinforce adoption: employees are more likely to sustain AI use when their managers support experimentation and help connect it to everyday work.
OtherClaude and ChatGPT Adoption: Breadth of Use Beats Headcount
AI adoption is not just about how many employees use Claude or ChatGPT, but how broadly they apply them across tasks and workflows. While writing, search, and email are common starting points, specialized uses such as analysis, coding, and automation remain less common. The focus should be on expanding task breadth through role-specific enablement, clear usage guidance, and better adoption metrics.
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