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Stop Teaching AI. Start Teaching People.

Samuel
Oct 25, 2024
1 min read

Most AI training misses the mark. It’s obsessed with the system—how the model works, what the interface does, how to navigate the dashboard. But these programs forget the critical truth:

AI doesn’t create value. People do.

That means the real training need isn’t technical. It’s strategic. It’s teaching people how to think in partnership with AI — how to challenge its assumptions, refine its inputs, and translate outputs into judgement-led action.

This is the difference between adoption and impact. A team can be AI-literate and still make poor decisions. They can understand the tech, but misapply it, over-trust it, or simply bypass it when it doesn’t fit their workflow. That’s not a tooling issue. That’s a capability gap.

Fluency isn’t about understanding AI. It’s about understanding yourself in an AI-powered system. It’s the skill to discern when to lean on the machine, when to lead it, and when to ignore it entirely.

At MadeWithData, we design enablement around the human layer — because that’s where strategy lives. If you’re not teaching people how to stay central in an AI system, you’re not preparing them for real change.