AI is critical, but what is more important for long-term gains is how it is learned and adopted, says Manu Kapur of the Singapore-ETH Centre.
Commentary
AI is critical, but what is more important for long-term gains is how it is learned and adopted, says Manu Kapur of the Singapore-ETH Centre.
If we treat AI only as a productivity machine, we risk scaling unproductive success. (File photo: iStock)
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