Is AI Stealing Jobs? This Hiring Analyst Says Yes

A Revelio Labs analysis of three years of online job postings indicates that the rise of AI tools like ChatGPT is already impacting hiring trends, with job listings for roles that AI can perform declining by 19%. The study, which cross-referenced job duties with AI capabilities, found that high-exposure roles, such as database administrators and IT security, experienced a 31% drop in listings since ChatGPT's release in 2022, suggesting companies are increasingly opting for AI solutions over human workers in these areas; however, the extent to which AI can fully replace entry-level white-collar work remains uncertain.

Analysis

Recent research from Revelio Labs indicates a tangible shift in hiring patterns correlated with the advancement of AI technologies. An analysis of online job postings over three years reveals a 19% decline in listings for roles with duties AI can perform, a trend that has notably accelerated since the launch of ChatGPT in 2022. Specifically, job listings for roles categorized as 'high-exposure' to AI replacement, such as database administrators and IT security support, have fallen by a significant 31%. This data suggests that companies are actively reducing hiring for certain positions, potentially leveraging AI for cost reduction and efficiency gains. While even 'low-risk' roles, characterized by human interaction, experienced a 25% drop in listings, the direct causality to AI for this segment is less clear from the provided information. It is important to note that economist Zanele Munyikwa, who conducted the study, expressed caution about current-generation AI's capacity to entirely replace entry-level white-collar work, a sentiment echoed by some experts and highlighted by MIT's rescinded support for a paper on AI productivity benefits. Nevertheless, the observed contraction in specific job postings presents empirical evidence of AI's early impact on the labor market, aligning with predictions from figures like Anthropic's CEO regarding the displacement of entry-level positions. The strongly negative sentiment and high market impact score associated with this news underscore the disruptive potential of this ongoing transformation.

Key Decisions for Investors

• Investors should critically evaluate companies with significant labor costs in administrative, IT support, and data processing roles, as these are demonstrably susceptible to AI-driven automation, potentially impacting future staffing levels and operational models.
• Consider increasing exposure to firms at the forefront of developing and deploying AI and automation solutions, as the data indicates a clear market trend towards adopting these technologies for operational efficiency.
• Monitor labor market data and productivity metrics closely, as widespread AI adoption could lead to significant economic adjustments, potentially influencing inflation, consumer spending, and necessitate policy responses.
• Assess portfolio companies' strategies for adapting their workforce to the AI era, favoring those investing in upskilling, reskilling, or focusing on complex, uniquely human-centric roles less vulnerable to automation.