When was launched on the last day of November, it punctuated what was, at the time, the largest layoff month of 2022. More people were laid off in November than in every other month of the year combined more than 44,000 people, according to 蹤獲弝け data.
Perhaps Novembers numbers were a harbinger of trying times ahead. Since then, companies have continued layoffs at the same brutal pace. While funding dried up elsewhere, leading to layoffs, venture firms were pouring money into the generative AI movement, where language models were poised to be the next big cash cow.
Indeed, according to 蹤獲弝け data, funding to AI startups made up about 10% of global startup funding. Ventures dramatic shift in funding priorities has rocked every industry from the art world to health care. And whenever a new piece of technology promises to disrupt an industry, the first worry is that it will replace workers.
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[Were] pitching the opposite, said , an executive at the startup consulting firm . AI startups are the only ones really raising big rounds. That’s not to say that AI layoffs arent happening, and that some development work isn’t changing. But I haven’t seen the impact.
AI spurs layoffs in tech
While few if any tech startups are actively conducting layoffs to offload work onto AI, the tech industry is quickly embracing artificial intelligence. According to a report from outplacement firm , which looks at layoffs across every industry, around 5% of Mays job cuts .
We do believe AI will cause more job loss, though we are surprised how quickly the technology was cited as a reason, Andy Challenger . It is incredible the speed the technology is evolving and being adapted.
CEO said the company is that AI can reasonably do. Positions in human resources, or jobs that arent customer-facing, would be on the chopping block. That means 26,000 jobs at IBM could be in part or in whole replaced by AI. The company and its subsidiary have laid off around 4,660 people so far in 2023.
On Monday, the homework helper platform announced it will lay off 4% of the company, or 80 positions, in order to begin deploying its AI strategy. Students have quickly adopted tools and ChatGPT to get their homework done, impacting Cheggs revenue. In the span of three months, the company introduced its own education platform powered by generative AI called CheggMate .
The dangers of AI
But the rapid adoption of AI is likely to require more jobs to babysit the technology.
As of March, U.S.-based jobs on that mentioned GPT increased nearly 80% year over year. And, according to 蹤獲弝け data, startups focused on AI are quickly joining The 蹤獲弝け 蹤獲弝け as funding to the category speeds up.
Yossi Sheffi, an engineering professor at , said that if anything, AI may, in a way, be a job creator. Workers will need to manage the technology through different, industrywide regulatory frameworks.
Even if the invention is good and can be adopted, there are a lot of things that inhibit fast adoption, he said. How will they be regulated to make sure they arent harmful?
Already, were starting to see some changes in the way companies are making staff changes to experiment with AI. At the , executives fired a slew of support line staffers after they attempted to unionize. The company quietly launched a chatbot, Tessa, to take over those duties. It was quickly pulled after it gave those with eating disorders an argument those in the health care industry have used to stave off adopting AI.
This is scary and there’s no precedent, and no one really knows what’s going on, said , a partner at focused on automation.
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