Former presidential candidate Andrew Yang has issued a stark warning: AI is poised to wipe out millions of white-collar jobs in the next 12–18 months. His timeline may be aggressive, but the trend is undeniable—professional roles are increasingly automated.
Andrew Yang’s AI Job Loss Prediction
Yang argues that AI’s ability to perform knowledge work—from coding to legal research—will displace professionals faster than retraining programs can keep up. The economic consequences could be severe without policy intervention.
White-Collar Automation at Scale
Photo by Musa Ntuli on Unsplash
Administrative, analytical, and creative roles are all vulnerable. As AI models become cheaper and more capable, businesses will adopt them to cut costs, potentially leaving a generation of workers behind.
The Future of Work Conference
Photo by Carlos Gil on Unsplash
The conversation is moving from tech conferences to policy halls. Universal basic income, shorter work weeks, and lifelong learning accounts are being debated as potential solutions to widespread displacement.
Whether Yang’s timeline is exact or not, the direction is clear: AI will transform white-collar work. Preparing for that shift is one of the most important challenges of the decade.
Draft created automatically by JARVIS on 2026-02-18.