The presidents may follow Jassy, and it increases honestly about the impact of artificial intelligence on jobs
Amazon CEO said that the calm part loudly: Amnesty International is coming to get a lot of jobs – and other presidents may follow his marriage soon.
On Tuesday, Andy Jassi said in a note that employees should know “how to get more with Scrappier” and that the move towards artificial intelligence will “reduce the total workforce of companies.”
Amazon, with about 1.5 million workers, is the second largest private employer in the United States. Business Insider commentators have told Jassy that other leaders may lead to a feeling of being comfortable with informing their employees who will replace them – or what -.
“Culture modeling”
Marlowe Lyon, an accredited author and executive coach, said that Amazon’s directives may encourage other companies to follow.
“I think if you have a large company that talks about artificial intelligence, it is easy for smaller companies to talk about artificial intelligence – this is basically cultural modeling,” she told Bi.
Lyon said: “In some respects, that may scare you, but at the same time, it should make you say,” Well, at least that my company is honest with me on this topic. “
Other executives have also become increasingly transparent about artificial intelligence expectations, although few said explicitly that they would reduce the current workforce.
CEO of Shopify Toby Lotc He said in a note in April that “the use of artificial intelligence is now essential,” and that before the managers achieve a rental, they must first prove that artificial intelligence cannot do the task better.
In December last year, the CEO of Klaarna Sebastian Siemiatkowski said in December of last year that Fintech had stopped employment because “AI can already do all the jobs we do as human beings.”
Meanwhile, Openai CEO Sam Taman He said earlier this month that artificial intelligence agents have already begun to behave like beginners’ co -workers and may soon be able to provide business solutions.
“The tremors will be sent down the appearance of employees,” said Carrie Cooper, Professor of Organizational Psychology and Health at Manchester Business College in the United Kingdom. “I think it will be opened to human resources now for discussions with senior management on how we deal with this – an introduction to artificial intelligence in our business.”
Cooper that warns companies with employees about jobs that may be affected and what are the chances of re -training available, or “unfortunate rotation” risk – should be the loss of talents they want to keep.
“Wonderful scale”
Thomas Roulette, a professor of organizational sociology and leadership at the University of Cambridge, told BI that linking demobilization with artificial intelligence was not new – even if a frying openness appears to be a turning point.
“Companies do not hesitate to use artificial intelligence as a reason to reduce their size, whether it is an excuse or an opportunity,” he said. “Often, it reduces its size before thinking about what will be replaced by artificial intelligence, due to market pressure.”
“The artificial intelligence is a wonderful scapegoat for many non -popular strategic options at the present time,” Roulette added.
“There is a tremendous pressure on companies to show that they are able to replace employees with artificial intelligence tools,” Peter Cappeli, a professor of administration at Warton School, told Bi. “But the evidence indicates that it is very difficult to do this.”
For example, Klarna occupied the main headlines in 2022 when the company recorded 700 employees, most of them are customer service agents, in favor of artificial intelligence. In May, the Financial Services Company was forced to employ some to improve its services.
From Roulette’s point of view, many companies that have already reduced jobs in favor of artificial intelligence were moving very quickly.
“Unfortunately, many companies are considering reducing the workforce and interacting with such discounts before thinking about replacing artificial intelligence,” Roulette said. “The truth is that bringing artificial intelligence to work requires many learning, experience and error courses – it does not seem clear overnight.”