332
Productivity & Workflow348
Automation & Workflow234
Software Development240
Marketing & Growth194
Writing & Content Creation195
AI Infrastructure & MLOps187
Photography & Imaging153
Design & Creative168
Data & Analytics158
Customer Support147
Education & Learning135
Sales & Outreach129
Voice & Speech135
Operations & Admin112
Professional services added 70,000 jobs in October 2026, beating its recent average. Research cited in coverage suggests some AI-exposed sectors lagged trend.
In short: White collar job growth increased in October 2026, but it was uneven across industries and the data does not show whether AI was the cause.
U.S. employers added 165,000 jobs in October 2026, and the unemployment rate was 4.1%. That points to a labor market that was still adding jobs overall.
One area often seen as “white collar” is professional and business services. In October, that broad category added 70,000 jobs. That is far above its average monthly gain of 15,000 over the prior year. Inside the category, professional, scientific and technical services added 33,000 jobs, and administrative and support services added 28,000.
The gains were not spread evenly across office-based industries. Employment was little changed in financial activities and in information. So while some white collar areas grew, others did not move much.
Some recent coverage has described job growth in white collar industries most exposed to artificial intelligence as “weak.” That can be partly true depending on what you compare it to. Goldman Sachs research cited in the coverage estimated that employment in industries most exposed to AI was about 10,000 jobs below its long-term trend over the prior three months. The research also noted that hiring tied to AI-related construction helped offset much of that shortfall.
These figures show hiring levels, not what caused them. The next thing to watch is whether slower-growing areas like finance and information start adding jobs again, and whether AI shows up more clearly in job trends (like a steady gap between “AI-exposed” jobs and their long-run pace).
Source: NYTimes