Two‑Track Hiring in the AI Era

Updated: 2025.09.12 1M ago 1 sources
AI enables workers to apply en masse and employers to post low‑commitment openings, creating a split labor market. One track is high‑volume and algorithmic (LLM‑mediated postings screened by bots), the other is human‑mediated and relationship‑based (referrals, portfolios). Junior workers without networks get stuck in the algorithmic track and are disadvantaged. — This reframes hiring policy and career strategy by showing how AI can push opportunity toward networks, with implications for equity, training, and regulation of job postings.

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How AI Is Changing Hiring
Will Rinehart 2025.09.12 100% relevant
Will Rinehart’s analysis of 'ghost jobs,' LLM‑driven mass applications, and the proposed bifurcation between algorithmic postings and human‑mediated referrals.
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