Investing.com — Artificial Intelligence is reshaping the U.S. labor market at a rapid clip, though early data suggests the transition is more balanced than many bearish forecasts originally assumed.
According to the latest “Roth Report” from Wolfe Research, while AI-exposed sectors have seen approximately 700,000 job losses to date, an estimated 1 million new positions have been created over the last two years.
The data suggests that job creation is currently outstripping displacement.
Despite the positive headline net gain, analysts warn that the underlying shift in labor composition remains a primary risk for the economy.
Job losses are heavily concentrated in existing, routine roles within the technology and finance sectors, whereas new hiring is pivoting toward highly specialized positions designed to build, manage, and audit AI systems.
Wolfe Research estimates that up to 5 million jobs could remain at risk over the next decade.
However, the report highlights that the “smoothness” of the labor transition will depend less on the total number of jobs and more on whether the workforce can retrain quickly enough to fill these newer, more technical roles.
The “mismatch” is becoming visible in recent labor data, where cyclical sectors like construction and manufacturing show resilience, while hiring in traditional tech hubs continues to weaken.
Looking ahead, the report utilizes AI modeling to project the types of roles likely to dominate the 2030s labor market. These include “AI Ethicists,” “Algorithm Auditors,” and “Prompt Engineers”, titles that were virtually non-existent five years ago.
Investors view this shift as suggesting a long-term productivity boost, though short-term friction in the labor market could lead to “non-linear” wage volatility as firms compete for a limited pool of specialized talent.
The findings come as a vital update for those tracking the “Innovation Economy.” While the era of automation often carries a narrative of net loss, the current “substitution phase” is creating a robust demand for human oversight of automated systems.
As the labor market bifurcates, the ability of companies to bridge the current skills gap will likely become a defining factor in corporate earnings and broader economic stability through 2026 and beyond.
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