AI fluency isn’t about knowing the latest tools, collecting certificates, or casually dropping “agentic” into a meeting. It’s about knowing where AI fits into the work—and where human judgment still matters most. Justin Bateh joins Galen Low to unpack why the real advantage comes from building an operating layer above AI’s increasingly capable execution layer.
They dig into what separates genuine AI fluency from familiarity, why hands-on practice and feedback matter, and what employers can do to build capability without turning AI training into homework. They also explore a bigger career question: when technical skills are becoming easier to replicate, what makes a project leader’s career durable?
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