12 Comments
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Boring Quinn's avatar

30% of AI projects will stall because nobody actually thought about whether they solve a real problem first.

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Joel Salinas's avatar

Yes! They just wanted to say they are an AI company

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Dennis Berry's avatar

Interesting. Always still back to solving the right problems

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Joel Salinas's avatar

Yes, too often we try to fix the loudest problems which may not be the most important ones to solve

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Raghav Mehra's avatar

Building with AI requires one to ask "why" before "how". Great elaboration on the importance of business validation and outcomes leading the way instead of blind AI adoption! On this note, we are coming up with an article soon that reviews where AI has added productivity (and where it hasn't).

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Joel Salinas's avatar

Why before how, that’s awesome!👏

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Sharique Nisar's avatar

This framework perfectly captures why AI fails without business-first thinking. The 90-day pilot approach is exactly what separates strategic implementation from costly experiments - a principle I explore in The Efficiency Playbook.

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Joel Salinas's avatar

Thanks for sharing!!

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Chris Tottman's avatar

Because they're experiments. People noodling away on AI isn't a buyer. They're playing, exploring, experimenting vs reverse engineering behind a pressing problem 😳 some are faster horses that fade away in time. The odd one might be the car that kills off the horse.

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Joel Salinas's avatar

Yes! Not all ai use is equal, much is just wasted time and resources. Well said!!

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Luis Llorens's avatar

Always important to be on the top quartile😜

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Joel Salinas's avatar

Haha yes!!

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