Estanford economists The university found very powerful evidence but that artificial intelligence began to complete certain tasks. But this story is not so easy: While young workers are replaced by AI in other industries, more experienced workers are seen from new opportunities.
Erik Brynjolfson, Professor Estanford University, Suyo Chen, researcher, Bharat Chandar, a qualification provider in the US, where Chatgtt, in mid-2025.
Investigators receive several stronger signals – especially that the approval of Generative Ai accompanied by low-quality employment identity documents AI (Think of the customer service and customer Development). In these industries, they get 16 percentage in employees of staff aged 22 to 25.
The new research reveals a positive picture of AI impact on employee performance. While artificialism is usually associated with critical predictions about completed activities – No more data support. Lack of jobs related to young students, for example, began to compromise in 2009, before the current AI waver. And places that can appear in danger of AI, such as translation, they actually see the increase in jobs in recent years.
“Every time you can know [what’s happening] If you look at a certain company or hear visitors, “said Brynjolfsson.” So we wanted to look in order. “
By entering Payroll Information, the Stanford party has found that AI impact is related to employees’ experience and expertise than the type of work they do. More experienced employees in the supply of ai produced came from job delivery, with the remaining or slow opportunities. The Finding Backs Up What You Software Developers Previously Told Me About Ai’s Impact on the Industrial-Named Rote, like Writing Code to Connect to An Agi, Has Begome Easier To Automate. The Stanford lesson also shows that AI removes tasks but does not break salaries, at least until now.
The investigators look for potential activities involving the confusion that includes the coving epidemics, a remote job increase, and recent technical fields. Have found that AI contribute whether or whether they count these things.
Brynnnnnnjysson says that this study provides a lesson for the expansion of AI’s benefits. It has long raised that government can change the tax system so that they do not agree to the automation companies. He also raises AI to improve programs that put together the partnership of a person’s machine.
Brynjolfsson and another scientist of Stanford, Andrew Haupt, argued on the paper of AI should improve new benchmarks at aincurmark that measured development and default. “I think there is still many jobs where people and equipment can issue [AI on its own]”Said Brynnnnnnnnnnnnnnnnnnnjed.
Some experts believe that additional partnerships between people and AI can be a feature of future labor market. Matt Bean, the professor of UC Santa Barbara read Automation driven by AI, and waiting for AI Boom to make an uncertaintant worker – as managing AI effect is very important. “We will do as much as possible,” said Banee. “But that doesn’t mean that there will be no mountain growing the work that has not been removed from the people.”
AI improves rapidly but also, and Brynjolfson warns that the impact on the employees of the young employees can spread to those who have plenty of knowledge. “What we need to do is create a dashboard safety system early to help us track this in real time,” he said. “This is the idea of a very great technology.”
This is a program of Knight’s AI lab reference. Read the books of the past Here.
