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Reading: AI May Increase Jobs Instead of Replacing Them, Says LPL Financial Economist
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AI May Increase Jobs Instead of Replacing Them, Says LPL Financial Economist

News Desk
Last updated: May 21, 2026 3:01 pm
News Desk
Published: May 21, 2026
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Concerns about the impact of artificial intelligence (AI) on the labor market have dominated discussions in recent months, with many fearing that it may lead to mass job displacement. However, recent insights from LPL Financial’s chief economist Jeffrey Roach suggest that AI may instead be a catalyst for job creation rather than elimination.

Roach refers to the Jevons paradox, which posits that technological advancements enhancing efficiency can actually lead to an increase in demand for a resource rather than a decrease. He explains that while AI may decrease the time and costs associated with performing various tasks, this reduction does not inherently result in a corresponding decline in labor demand. Instead, Roach argues, AI has the potential to enhance productivity in multiple areas such as software development, customer service, research, and operations. This increase in productivity can enable organizations to undertake a greater volume of work and subsequently create demand for new roles, products, and innovative business models.

Contrary to fears of widespread replacement, Roach emphasizes that AI is more likely to reallocate tasks within organizations without displacing human workers. One notable example he provides is that of medical diagnostic imaging centers. In these settings, advancements that lower service costs have not only maintained employment levels but have also spurred hiring, countering the narrative of job loss.

Moreover, Roach points out that AI may help address workforce challenges posed by an aging population. As the demographic shifts occur and a larger segment of the population enters retirement, the availability of working-age individuals is expected to decline. Projected statistics indicate that working-age adults will represent approximately 62% of the total population by 2050, dropping to less than 60% by 2070. In this context, Roach posits that AI can serve as a solution to this labor gap, enhancing the productivity of existing workers rather than necessitating a larger workforce.

In summary, while the conversation surrounding AI and its impact on employment often leans towards the fear of job displacement, there are compelling arguments suggesting that AI could instead foster job growth, improve efficiency, and help fill labor market voids created by demographic changes.

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