A decade ago, everyone in the Obama administration, starting from the Internet troll, had the same suggestion for young people looking for a stable, long -term career way: Learn the code. Today, in large parts of the generator AI, that suggestion has been reversed on his head. Don’t learn the code. The nurse may be the train.
A survey published by SHRM, a company representing human resources professionals, found that software engineers and other jobs, along with mathematics and computer functions, are at risk of being automated and displaced by AI. SHRM survey More than 20,000 US workers To see what percentage of work is already seen automatically throughout different types of work. It also saw the non -conducting obstacles in the way of automation, like the customer’s preferences and regulatory requirements.
The results show an important difference. Just a lot of work can be done by the machine does not mean that there is a risk of taking or eliminating any work. The survey estimates that US workers (21.2 million jobs) are at least 5% automatic, and at least 50% of the generators are completed by AI. Yet about 6% of the United States jobs (9.2 million) are risky because they adapt to this description.
In fact, the share of risky role is much less than the forecast for the AI industry. Dario Amodi Said early this year The AI that can erase half of the entrance-level white-collar work in the coming years, pushing unemployment between 10% to 20%. Instead of the huge or sudden degradation of the labor market, we could see artificial intelligence persuading the workplace more slowly.
“This is a wonderful technology that we will certainly change the work of the work, but this may not be the result of the type of job displacement that is suggested,” James Atkinson, vice president of SHRM’s thought, said CNET.
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What is on the way to the job automation?
Anxiety about taking AI jobs is well enrolled, the opinion of multiple people listens to the alarm. For example, a Pew Research Center survey earlier this year found that AI was expected to be less than 64% of Americans in the next 20 years due to AI.
The SHRM’s survey was more specially concentrated on separate staff and their work. This is one of the reasons to vote for so many people. It was as much a sample for the work department as possible. “We wanted to get the perspective of people working every day,” Atkinson said. “
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Surveying actual workers provides a deeper understanding of the actual factors of why automation cannot fully replace a given job. SHRM defines things as “nontechnical barriers” that prevents AI from performing the work, but not because AI does not have the technical ability to do.
The largest nontechnical barriers were the client’s choice. Atkinson used examples of pilots. Computers can actually be able to flying aircraft but no passenger wants to keep an eye on the empty cockpit without any human.
And a non -tactic barrier is involved with union agreements such as legal and regulatory barriers, although the rules may change as the AI is further developed. Eventually, there is a question of spending. Self-Checkout can create financial concepts in a large profitable chain like Walmart, but an independent corner store requires low human cashier.
These obstacles can help explain some of the recent statistics that businesses have actually shown the disadvantages of AI implementation in the workplace. Has been seen in an MIT survey 95% of the business AI pilot project Do not result in actual savings or improvements. The promise of new technology and its actual productivity remains a big gap.
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Which tasks are most likely to be most and at least automated
Computer and mathematical work are at risk of being especially displaced. The report shows that about 12.8% of this job is at least 50% of their jobs automatically automatic and no clear -technology barrier. Other high-risky occupations (such as architecture, engineering or management) have similar problems, and some (like production) are originally created automatically in such a way that the generator AI is not involved.
The shortest possible fields have automatically significant human-human interactions. For example, in the case of healthcare practitioners, SHRM has found that only 3% of the jobs have at least 50% automation and there is no nontechnical barrier. The work of personal care and social services was the same.
Atkinson said, “The health care industry is the only industry that continues to see the profit of the month after month.” “It is an industry that is growing, it will continue to grow as our population increases and it is a type of profession that is at the lowest risk of being displaced.”
Atkinson said that the results of the survey showed the need for workers efficiently than technical skills only. What can’t the generator AI equipment do?
“We can see the companies say that we need people who can solve common problems,” he said.