Nobody uses the AI tool you bought. And honestly? That says nothing bad about you. It says everything about how AI gets sold. You were handed a solution before anyone understood your actual problem.
Nobody uses the AI tool you bought. And honestly? That says nothing bad about you.
It says everything about how AI gets sold.
You were handed a solution before anyone understood your actual problem. That $200/month sitting idle isn't foolishness — it's what happens when tech companies skip straight to the demo and skip past the diagnosis.
Here's what caught my attention reading about how NVIDIA deploys AI internally. Even they don't start with tools. They start with problems worth solving. Their team identifies one bottleneck, builds something specific to fix it, then measures whether it worked. One problem. One solution. One proof point.
That's a completely different approach than buying a platform and hoping someone on your team figures it out.
The practical shift: before you evaluate another AI tool, write down the one task your team repeats most that produces the least value. Not a vague category. A specific task. That single answer tells you more about where AI belongs in your business than any vendor demo ever will.
The right first AI win is narrow, not ambitious. Narrow wins build confidence. Confidence builds momentum.
What's the repeated task in your business you'd most want to hand off — and what's stopped you from acting on it so far?
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Original Source
Delivering AI Solutions Across the Company. Since starting on NVIDIA's enterprise AI and automation team as an undergraduate intern in 2022 — and ...