Can AI help feed a world of 10 billion people?
A new supercomputer in California's Central Valley is betting on it.
The UN estimates global population will reach 10 billion by 2050. The USDA says agricultural production needs to increase by at least 47% to keep pace. And California's Central Valley, which produces more than a quarter of the food in America, is certainly feeling that pressure.
This AI-powered supercomputer at Fresno State is now putting that processing power directly in the hands of regional farmers. One grower built a fleet management program in three minutes that changed his operation overnight. 🤯
But not everyone is ready to hand the reins over. One farmer pointed out, "My eyes have a lot more experience than AI. It's only as good as the information that it has to work with."
That tension between what AI can accelerate and what human experience still anchors isn't unique to agriculture. I see it just as strongly in my own field of copywriting.
Those finding the most value are working with both, letting AI do what it does faster, while protecting the judgment it can't replicate.
How are farmers in your region approaching this balance, and is the adoption curve ahead of or behind what you're seeing in other industries?
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