The building edge in AI is gone.
Everyone has access to the exact same models.
Two years ago, constructing AI systems was a genuine differentiator. π οΈ
Today, building has become accessible to nearly everyone. β‘
Yet a recent MIT study revealed that 95% of AI projects deliver zero measurable value. π
The failure is not caused by a technical skill gap. β
It is driven by a diagnostic skill gap. π‘
The real money is no longer in knowing how to build AI. π°
It is in knowing which AI is actually worth building for a specific business. π―
Helping a company identify, deploy, and adopt the right workflow is quickly becoming the entire game. π
What is the biggest diagnostic mistake you see companies make with AI today? π¬
β»οΈ Repost this to help your network focus on the diagnostic side of AI.
β Follow Deven Goratela (https://www.linkedin.com/in/devengoratela/) for actionable insights on AI, automation, and business strategy.
#AI #BusinessStrategy #AIAdoption #FutureOfWork #Automation
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