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The Complex Narrative of AI’s Impact on Employment
AI technology is often blamed for recent job cuts, with Cisco (CSCO) being one of the latest tech firms to adopt this trend. Alongside an overall decrease in hiring across the US, the narrative surrounding AI’s role in the labour market has taken a decidedly negative turn. However, a deeper analysis of hiring data presents a more nuanced perspective on both the labour market and the changing dynamics influenced by AI.
Examining Job Vacancies
Recent research from the New York Federal Reserve challenges the assertion that declines in job openings in sectors vulnerable to AI are directly caused by the technology itself. The study scrutinised vacancies based on a metric that identifies occupations where many tasks can be performed or are already performed by AI, as developed by economists at Anthropic.
Occupations considered most susceptible to AI include computer programmers, customer service representatives, and data entry roles. The researchers examined hiring patterns before and after the release of ChatGPT in late 2022, seeking any significant deviation in job postings.
While their findings indicated a noticeable decline in postings for higher AI-exposed roles, the researchers noted that this trend began well before the launch of ChatGPT. The data showed that the divergence between high and low-exposure jobs had commenced prior to 2022 and stabilised by 2023, contradicting assumptions that AI was drastically reshaping the employment landscape.
Insights from Government Data
Official statistics reveal that hiring rates dipped in early 2022 but saw a rebound in March, reaching the highest levels in two years. Although layoff percentages have marginally increased, particularly among tech firms citing AI as the reason for cuts, overall layoff rates remain relatively low, fluctuating between 0.9% and 1.2% since 2021.
Further scrutinising the impact of AI on job postings at varying levels of seniority, New York Fed scientists found that the reduction in postings isn’t particularly concentrated among entry-level positions. This observation counters the narrative that young job seekers are disproportionately affected by AI-related job losses.
The researchers concluded that while AI does play a role in shaping recent employment trends, it is not the primary cause of the widespread hiring slowdown.
The Broader Economic Context
Separately, a report from Michael Pearce, chief US economist at Oxford Economics, indicated that while AI adoption is rising among leading sectors, its overall usage remains low, which limits its impact on productivity and employment rates. Interestingly, the unemployment rate in roles most affected by AI has actually decreased, aligning with a broader improvement in labour market conditions.
An area of concern is the information sector, where high AI adoption has resulted in noticeable fluctuations in employment figures. As hiring and layoffs occur simultaneously, this could signal a shift in skills demand, posing challenges for displaced workers. Nevertheless, current forecasts suggest that the advantages of AI will outweigh its potential for displacement.
Adapting to Change
According to economist Elsie Peng from Goldman Sachs Research, the recent decrease in job openings in AI-exposed roles has come at a time when these sectors were already facing labour shortages. The shift towards AI deployment aligns fortuitously with existing labour demands but will require workforce adaptation moving forward.
Peng indicated that while AI integration has been timely given existing shortages, future developments will necessitate a more flexible and skilled workforce. This echoes earlier sentiments that the need for workers with new skills could outpace the current workforce’s ability to adapt.
Conclusion
In summary, while AI is undeniably altering the job landscape, its immediate impact on employment isn’t as severe as often portrayed. Job openings in high AI-exposure sectors have seen declines since before the AI boom, and the recent labour market changes reflect broader economic trends rather than the isolated effects of AI technology. Thus, while AI is a significant factor in the evolving workforce, it is certainly not the sole driver behind the current hiring challenges.
Emma Ockerman covers economics and labour for Yahoo Finance. She can be reached at emma.ockerman@yahooinc.com.
