

AI is leading to a white-collar bloodbath
Jul 24, 2025
Max Ufberg, a senior editor at Fast Company and AI expert, discusses the transformative impact of AI on the legal job market. With a forecasted loss of 14 million jobs by 2030, he dives into the contentious debate around AI's role, especially for recent law graduates. The conversation includes insights on the AI legal platform Harvey AI, its collaboration with law firms, and the broader implications for white-collar employment. Ufberg raises critical questions about the future of work and privacy in an increasingly automated world.
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AI's Net Job Loss Prediction
- McKinsey predicts AI will displace 92 million jobs but create 78 million by 2030, resulting in a net loss of 14 million jobs.
- This illustrates a significant reduction in employment despite new opportunities from AI advancement.
Widespread AI Adoption and Risks
- AI adoption is extensive among white-collar workers with 60% using AI tools and 40% integrating AI agents into workflows.
- Entry-level roles are most vulnerable to automation, but mid- and senior-level roles may also be at risk due to AI replicating high-value tasks.
AI Threatens White-Collar Jobs
- AI is poised to cause a "white-collar bloodbath," impacting banking, legal, accounting, and journalism professions.
- This indicates a potential large-scale disruption in traditional white-collar employment sectors due to generative AI.