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For the past three years, Marc Zao-Sanders, the brain behind the A.I. in the Wild research initiative, has been trying to figure out how people actually use the technology in real life. It’s a deceptively simple question, given the major developers claim they’re servicing billions of users, but it’s never been clear how those users are really quantified. Yesterday, Harvard Business Review published the third installment of Zao-Sanders’s annual report investigating that question—a large-scale study parsing a year’s worth of social media posts to identify over 12,000 A.I. use cases.
