AI is a hot commodity in the job market right now — but not in the way you might expect.

A recent survey found that 8 in 10 companies reverted to human-centered solutions when AI didn't deliver. Let that sink in.

Organizations are racing to adopt AI, pouring money into pilots and production. But they're hitting snags along the way — and those snags are costing them more than they anticipated.

Here's what's really happening: Companies thought throwing AI at problems would reduce labor costs, but the AI itself is often more expensive than the labor.

This isn't a technology problem. It's a people problem.

When AI fails to deliver, it's usually because organizations skipped the human side: training, buy-in, adaptability, and the support people need to work alongside new systems. We simply can't automate trust.

The leaders who will succeed aren't the ones betting everything on AI. They're the ones investing equally in their people — building the capacity, curiosity, and confidence teams need to make AI actually work.

So, are we preparing our people for AI, or just hoping the technology will figure itself out?

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