4 surprising finds about how AI is—and isn’t—actually working

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Are you a little weary of hearing about all the things that AI will do? Not yet? How about all the claims that your job is going to be taken over by AI (along with everyone else’s on the planet)? How about the recent layoffs and the assertion that they are due to AI?

In my May column, I wrote about the survey of C-suite executives showing how much pressure they were under to prove that they were getting AI to work (which really means cut headcount), and how out of touch these promises were with reality. I strongly believe that employers wanted to do layoffs anyway to keep investors happy, and are hoping the cuts will somehow be offset by introducing AI.

For a year now, I have been searching for actual evidence of cases where AI has been introduced and how it has changed jobs. I’ve written before about Ricoh’s effort to transform some simple paper processing tasks. What they found initially was that using AI—and by that, we mean large language models like ChatGPT—to simply take over tasks was three times more expensive than having their employees do the work. After a lot of time and investment, they found ways

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