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What good is it if we can’t use it?
The AI flood is here, but the real challenge is absorption. Success depends on how fast enterprises can adapt.


What good is it if we can’t use it?
Moore’s Law was fast. The evolution of AI is faster. Since 2019, the capabilities of AI agents (measured by the length of tasks they can reliably complete) have been doubling every seven months. At the same time, economics have collapsed in the other direction. The cost of reaching GPT-3.5-level performance on the MMLU benchmark has fallen by more than 280-fold in just two years.
Put those curves together (skyrocketing capability and free-falling cost) and you get a flood. Each week, hundreds of new AI agents, little digital workers for nearly every task you can imagine, are released into the market.
It’s a deluge.
The part that no one wants to talk about is absorption. AI is being generated at the speed of 100, but companies are taking it in at the speed of 1. The real story isn’t the flood of new capabilities, it’s the trickle of adoption. On one side, a firehose; on the other, a teaspoon. And in that yawning gap is where the fate of enterprise AI gets decided.
The path to winning with AI won’t come from the outside, from model makers or software vendors. It will come from the inside. The companies that prevail will be the ones whose leaders treat this moment for what it is: the largest change-management exercise in corporate history.
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