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AI will take 50% of jobs by 2027

by Editorial Staff
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Laptop scientist and enterprise capitalist Kai-Fu Lee not too long ago reiterated his place that synthetic intelligence (AI) expertise will change at the very least half of the world’s workforce by 2027.

Kai-Fu Lee initially predicted that synthetic intelligence would take at the very least half of all human jobs in 2017. He has held this place ever since. For instance, in an interview with IEEE Spectrum in 2018, he famous that whereas people have many skills and expertise that AI is unlikely to have the ability to obtain, AI will nonetheless change about half of our jobs.

“A lot of the jobs are repetitive,” Kai-Fu Lee mentioned on the time, pointing to “truck driving, telemarketing, dish washing, fruit choosing, meeting line work and so forth.”

He went on to say that he believes synthetic intelligence will ultimately turn into a mainstream expertise, extra essential than electrical energy and the Web mixed.

In a latest interview with Fortune, he doubled down on his remarks when requested if he thought the forecast nonetheless held weight in 2024.

In an interview, Kai Fu Lee mentioned that his prediction didn’t come true:

“It is really extremely correct. Individuals criticized me for being too aggressive in 2017, 2018, 2019 and I used to be a bit nervous then. However when the unreal intelligence gene appeared, I feel everyone seems to be ready for it and thinks that that is the suitable tempo.”

Few folks within the tech world have a resume as packed as Kai Fu Lee. He labored as an govt at Apple earlier than turning into the founder and director of Microsoft Analysis Asia. After his tour with the Redmond firm, he signed on to turn into Google’s vp and head of Google China.

As of Could 2024, he’s the founder and chairman of Sinovation Ventures, a enterprise capital fund centered on growing international expertise services. He’s additionally the founding father of 01.AI, a startup that develops services for the Chinese language market.

Kai-Fu Lee’s predictions for the way forward for synthetic intelligence are framed within the context of his perception that China will ultimately surpass the remainder of the world in synthetic intelligence expertise.

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