A senior Wall Street executive is pushing back against widespread fears that artificial intelligence will eliminate white-collar jobs in the coming years. Andrew Slimmon, head of applied equity advisors at Morgan Stanley Investment Management, argues that concerns about AI-driven job losses are overblown, drawing parallels to similar anxieties during the early internet era.
The debate over AI and employment intensified this week following a viral research report from Citrini Research that predicted significant white-collar job displacement by 2026. However, Slimmon maintains that this technological shift will mirror the dot-com revolution, where jobs evolved rather than disappeared entirely.
AI-Driven Job Losses May Follow Historical Patterns
Slimmon recalls the early 2000s when commentators predicted widespread unemployment due to internet technologies. According to the Morgan Stanley executive, those fears never fully materialized. Instead, workers adapted to new roles and the economy created different employment opportunities.
“We still work five days a week, we’re just more productive. And I think that’ll be the story again,” Slimmon said. He argues that while certain functions moved online during the dot-com era, new jobs eventually emerged to replace those that were disrupted.
Technology Disruption Creates New Opportunities
The Wall Street veteran pointed to industries like book publishing and travel agencies as examples of sectors that survived technological disruption. While these businesses faced significant challenges from online competitors, they continue to exist today, albeit in transformed versions. This historical context shapes his skepticism toward predictions of wholesale white-collar job elimination.
Meanwhile, several major technology companies have announced layoffs citing AI efficiency gains. Amazon, Block, and Salesforce are among the firms reducing their workforces, claiming that artificial intelligence allows them to operate with fewer employees. These announcements have fueled concerns about AI-driven job losses across multiple industries.
Tech Leaders Share Similar Perspectives
Nvidia CEO Jensen Huang echoed similar sentiments following his company’s recent earnings report. According to Huang, agentic AI will change the nature of engineering work rather than eliminate software engineering positions entirely. This perspective aligns with Slimmon’s broader view on how artificial intelligence will impact employment markets.
Additionally, Slimmon suggests that current discussions focus too heavily on jobs that will be lost while ignoring potential new positions that AI will create. He characterizes this imbalance as typical of early-cycle technological transitions, when disruption appears more visible than opportunity.
Historical Context Shapes Current AI Debate
The comparison to the dot-com era offers important context for understanding potential AI impacts. In the early 2000s, many predicted that internet technologies would devastate traditional employment sectors. However, the reality proved more nuanced, with technology creating new job categories in fields like social media management, e-commerce logistics, and digital marketing.
In contrast to doomsday scenarios, Slimmon maintains that artificial intelligence will enhance productivity rather than replace human workers entirely. He argues that panic over AI-driven job losses represents an incomplete understanding of how technological disruption typically unfolds in modern economies.
However, not all experts share this optimistic outlook. The recent report from Citrini Research suggests that AI technologies may displace workers more rapidly than previous technological revolutions, particularly in knowledge-based industries. The actual impact of artificial intelligence on employment remains uncertain as companies continue implementing these tools.
As businesses and workers navigate this technological transition, the debate over AI’s employment impact will likely continue to intensify. The extent to which historical patterns will repeat themselves in the current AI revolution remains to be seen, with experts divided on whether this disruption represents a fundamental departure from past technological shifts.
