Analyzes logged job searches, application channels, resumes and AI-related hiring trends using Huntr activity and a survey of 329 job seekers. Includes methods and limitations, emphasizing that self-selected, self-reported data describes Huntr users rather than the entire labor market.
Why I recommend it: Uses Huntr user activity and a self-selected survey of 329 job seekers; results are not representative of all job seekers.
Challenger reports 43,994 announced U.S. job cuts in October 2026 and 470,400 seasonal hiring plans through October, a 26% increase from the prior-year period. The release breaks down announced cuts by industry, geography and stated reason, including employer-cited AI.
Why I recommend it: Counts are employer-announced job cuts and hiring plans, not realized employment changes. AI attribution reflects employers' stated reasons.
The November 3, 2026 BLS release reports September job openings, hires, quits, and layoffs. BLS lists 7.5 million job openings, 5.4 million hires, and 5.3 million total separations; these describe the labor market, not guaranteed job prospects.
New York Fed economists Elizabeth B. Li, Giorgio Topa and Jacob P. Weber compare three new LinkedIn measures of how hard it is for employers to find workers against government job-openings data, and test how well they track wage growth.
#labor-market#hiring-data#wages#linkedin
libertystreeteconomics.newyorkfed.orgAdded Nov 3, 20260 opens
CNBC reports that initial U.S. unemployment claims were 194,000 for the week ending October 17, 2026. The October 22 article describes low layoffs alongside weak hiring and discusses what these indicators do and do not show about the labor market.
An eight-page August 2026 report from LinkedIn's Economic Graph Research Institute by Matthew Baird, Silvia Lara and Mar Carpanelli. It finds the typical AI job posting lists a $177K salary versus $80K for non-AI roles, women account for 26% of new AI hires versus 50% in non-AI occupations, about 91% of AI roles are held by workers with a bachelor's degree or higher, and Gen Z makes up more than two-thirds of hires for AI Engineer and Forward Deployed Engineer roles.
Hiring-funnel data showing roughly 6% of job views become applications, 3% of applicants reach an interview, and 27% of interviewees are hired - about one hire per 180 applicants, with tech roles needing far more applicants than healthcare.
Why I recommend it: Read this when the silence feels personal. It is not: 97% of applicants are screened out before a human ever sees them. That is the argument for referrals, sourcing, and warm outreach over another 40 cold applications.
