US EditionThe AI arms race in hiring is a huge mess for everyone
- Massachusetts’s job market in mid-2025 shows uncertainty with hiring freezes, ghost postings, and a rise in AI and offshore labor use by employers.
- Employers aim to improve recruitment efficiency and reduce bias through AI tools, but job seekers feel confused and marginalized groups experience growing performance gaps.
- Studies led by Sugat and Rochana Chaturvedi reveal open-source AI hiring models favor men for higher-paying jobs while steering women to lower wage roles based on job ad language.
- Researchers ran over 40 million simulations on 332,044 real job ads, finding models like Gemma recommended women only 87.3% of the time and Ministre scored lowest in female callbacks.
- These results highlight persistent fairness challenges in AI recruiting and emphasize the importance of strong personal networks amid unposted roles and competitive hiring dynamics.
12 Articles
12 Articles
Financial Times
The AI arms race in hiring is a huge mess for everyone
Companies were using automated screening earlier, but applicants’ adoption of the tools is now causing problems
Automated Candidate Screening with AI
Let’s be honest—hiring can feel like a full-time job on its own. Especially when you’re drowning in resumes and trying... Read More The post Tired of Resume Overload? Try Automated Candidate Screening Instead appeared first on CloudApper AI - Enable Enterprises To Build & Integrate AI/LLM Painlessly.
Recruiting Headlines
The Tim Sackett ProjectUsing AI to Reinvent Recruiting
AI agents aren’t coming for recruiting. They’re already here – and they don’t care how many reqs you filled last quarter. In this episode, Tim Sackett sits down with Jason Roberts, SVP of Tech & Analytics at Cielo, to break down what AI is actually doing inside RPOs and staffing firms – and why the
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