No, AI is not killing jobs for everyone, studies say
A slew of recent studies indicate that AI isn’t dramatically displacing workers. At the same time, there were no indicators that the fast-moving technology is creating a lot of jobs, even as AI skills remain in high demand. Stanford University researchers in an August study found that any AI-related job declines were concentrated among young workers aged 22–25. But for older and more experienced…
A series of recent studies suggest that artificial intelligence, while displacing some workers, is not causing widespread job losses. A Stanford University study found that the impact of AI on employment is most pronounced among young, inexperienced workers aged 22-25. However, older and more experienced workers are not experiencing the same level of job loss.
The researchers found that AI is often used to augment the work of experienced workers, rather than automating it. Young workers in jobs highly exposed to AI disruption are falling behind their older counterparts, with employment levels about 19% lower in June compared to the same age group in less-exposed occupations. In contrast, the employment of older workers in less-exposed jobs has remained relatively stable.
The gap in AI impact between young and older workers is consistent with recent reports of a worsening job market for entry-level workers. Despite this, AI-related hiring continues to rise, with about 320,000 job listings in August requiring AI-related capabilities, a 4.5% increase from the previous month. AI skills are in high demand, with a 96% year-over-year increase, according to tech industry consortium CompTIA.
This suggests that employers are not only looking for those building AI but also for those applying it. The US economy added 162,000 jobs in August, with tech employment across all sectors rising by 86,000 workers. However, within the tech sector, 14,700 positions were cut.
Written by urgent.news from Computerworld's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
