The co-founder of LinkedIn, Reid Hoffman, has gone viral on the internet with his prediction that typical 9-5 jobs will no longer exist by 2034. In a newly released video clip, Mr Hoffman gives an explanation of how he sees AI strongly disrupting today's workforce, eliminating traditional job arrangements.
He feels that the future worker may not be necessarily employed but rather participate in the gig economy. It means you would be working with various companies in multiple sectors under contract. Compared to the more traditional positions, this way could mean lesser job security, even if it does give you greater flexibility and more options.
Neal Taparia, an entrepreneur and angel investor, shared Mr Hoffman's video and pointed out his record of predictions that have come to pass.
Hoffman's past predictions are spooky:
— Neal Taparia (@nealtaparia) July 24, 2024
• Predicted social networks would change the world (LinkedIn sold for $26B)
• Saw the sharing economy coming (Early Airbnb investor)
• Called the AI revolution years before ChatGPT
So we should probably listen to his latest prediction: pic.twitter.com/7CzIyMuRiO
In his post, Taparia also highlighted that Mr Hoffman had envisioned the revolution of social media, the sharing economy, and AI way back in 1997, a couple of decades before the arrival of ChatGPT. He mentioned that the speed at which AI has grown is incredible and a bit unsettling. Within a few days of ChatGPT hitting the market, millions of jobs across the world became irrelevant, and several companies started training their employees to work with AI technologies.
"Hoffman's past predictions are spooky: Predicted social networks would change the world (LinkedIn sold for $26B),Saw the sharing economy coming (early Airbnb investor), called the AI revolution years before ChatGPT," Taparia wrote while sharing the video on X.
Taparia also noted that at some future point, freelancers would make considerably more than permanent employees and that resumes/CVs could be out of fashion.
Hoffman's insights reflect a broader trend towards changes in employment structures driven by technological advancement.
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