AI divide: It's not technology but learning capacity
In the previous column, I argued that artificial intelligence (AI) will not so much replace humans as expose the systems we have built.
The real divide of the AI era, I suggested, will not be technological.
Instead, it will be a divide in what I called “collective learning capacity.” There are questions that remained unanswered.
What is that capacity?
Why does it vary so widely between organizations and societies?
And finally, why is AI about to make those variations decisive.
Learning capacity, in the sense I mean it here, is not the ability of an individual to absorb new information.
It is something collective.
A team of brilliant individuals can sit inside an organization that learns nothing.
A society of intelligent citizens can produce institutions incapable of adapting.
The intelligence of the parts does not determine the intelligence of the whole.
What I mean by learning capacity is the ability of an organization, an institution or a society to adjust its behavior to a changing environment, faster than the environment outpaces it.
Every adaptive system — biological, organiza
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- SoftBank to spend $87.5 billion on AI centers in France Le Monde —
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