A New Stanford Analysis Reveals Who’s Losing Jobs to AI

A new Stanford Digital Economy Lab report, leveraging ADP data, indicates a 16% relative employment decline for 22-25 year olds in AI-exposed occupations like software engineering and customer service since late 2022, signaling AI's disruptive impact on entry-level roles. Conversely, older workers in similar fields and those utilizing AI for augmentation show employment growth. Concurrently, political strategists from the crypto industry are launching 'Leading the Future,' a new AI super PAC with $100 million in initial funding from backers including Andreessen Horowitz and OpenAI, aiming to influence AI policy in favor of innovation, mirroring prior successful lobbying efforts.

Analysis

A new Stanford Digital Economy Lab report, leveraging extensive payroll data from ADP, provides the first large-scale, real-time evidence of AI's disruptive impact on the U.S. labor market. The study reveals a significant bifurcation: since late 2022, employment for workers aged 22-25 in AI-exposed occupations like software engineering has experienced a 16% relative decline. In stark contrast, workers over 30 in these same high-exposure categories saw employment grow by 6-12%, suggesting that AI is primarily automating entry-level tasks while experienced workers, who may possess more tacit knowledge or organizational power, are being retained and augmented. This labor market shift is occurring concurrently with a sophisticated political mobilization to shape AI regulation. The formation of 'Leading the Future,' a super PAC with $100 million in initial funding from key industry players like Andreessen Horowitz and OpenAI's president, signals a well-funded campaign to promote industry-friendly policies. This effort, modeled on successful crypto lobbying, indicates that the economic displacement identified in the labor market will be met with a significant political push to counter regulatory oversight and mitigate risks to innovation.

Key Decisions for Investors

• Investors should evaluate companies in AI-exposed sectors for their reliance on entry-level roles, as a strategic shift towards automation could enhance near-term profit margins but create long-term talent pipeline risks.
• Prioritize investments in firms that demonstrate a clear strategy of using AI to augment, rather than simply replace, their experienced workforce, as the report identifies this as a key driver of sustainable productivity and growth.
• Closely monitor the legislative influence of the 'Leading the Future' super PAC, as its success in shaping industry-friendly regulation could serve as a significant de-risking catalyst for the entire AI and tech ecosystem.
• Factor in potential macroeconomic headwinds from declining employment and earning power among young professionals, which could suppress long-term growth for companies reliant on this demographic's consumer spending.