AI & Product
Why AI Adoption Fails Before It Starts
The context problem nobody talks about
Most organizations approach AI the same way they approached cloud adoption in 2010: as a technology problem with a technology solution. Buy the right tools, hire the right engineers, and the productivity gains will follow.
They won't. At least not sustainably.
The organizations getting the most out of AI right now aren't the ones with the biggest budgets or the most sophisticated models. They're the ones that have done the hard, unglamorous work of defining what they need the AI to know in order to be useful. That's context engineering — and it's the most underrated lever in any AI transformation.
Full article coming soon.
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