273 - Future-proofing your organization through continuing AI literacy
About this episode
Susan Diaz discusses the importance of continuous AI literacy for future-proofing organizations.
Most companies do a few AI trainings, run some pilots, and then stall. In this episode, host Susan Diaz argues the only real future-proofing strategy is continuous AI literacy. She breaks down what "continuous literacy" actually includes (skill, judgment, workflow, norms), the predictable failure modes of the AI literacy divide, and a simple flywheel you can run monthly so capability keeps compounding. Episode summary Susan opens with a familiar pattern: a burst of AI excitement, a deck called "AI Strategy 2025" a few clever workflows… and then reality hits. Tools change. Policies shift. Vendors overpromise. Early adopters keep learning. Everyone else stalls. Her reframe is blunt: AI is not a project or a software rollout. It behaves like a language. Best practices change fast. What was smart six months ago can become a bad habit in the next six months. So future-proofing isn't about predicting what AI will do next. It's about building an organization that can keep learning without burning people out or gambling with risk. That's what continuous AI literacy is. Key takeaways Continuous AI literacy has four parts: Skill: how to use AI. Judgment: whether you should use AI…
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