AI's Real-World Labor Market Use Falls Short of Theoretical Expectations
Leading artificial intelligence (AI) company Anthropic has released an analysis in a recent report stating that AI's actual utilization in the labor market remains low compared to its theoretical potential. Through its report, 'The Labor Market Impact of AI: New Metrics and Early Evidence,' Anthropic introduced a metric called 'observed exposure' to measure the degree of actual task automation by AI. This aims to quantify the extent to which AI is actually used in the workplace, rather than just its theoretically performable areas, to realistically assess the current state of job displacement.
According to the report, AI's theoretical applicability was high across various occupational groups, but its actual usage levels did not meet this potential. Computer and mathematics, and business and financial sectors showed the highest theoretical AI applicability at 94.3%, but recorded actual utilization rates of 35.8% and 28.4% respectively. The sales sector showed a theoretical potential of 62% compared to an observed exposure rate of 43%, serving as an example illustrating the level to which AI potential is reflected in actual work.
Occupations with significant gaps between theoretical potential and actual utilization were also identified. Architecture and engineering had a theoretical capability of 85% but an actual utilization rate of 5%. Law (theory 89%, actual 20.4%) and arts and media (theory 83.7%, actual 19.2%) sectors also showed considerable differences. In contrast, computer programmers showed an actual AI exposure of 74.5%, indicating that utilization has progressed in specific specialized fields.
The report analyzed that workers with high AI exposure generally tend to be older, have higher education levels and wages, and a larger proportion of women. While a systematic increase in unemployment has not been observed in job categories with high AI exposure since late 2022, there are signs of slowing new hiring for young people in these fields, necessitating continuous observation of future labor market changes.
This article was generated by AI and reviewed by a human.