
wsj.com
August 21, 2026
1 min read
48/100
Summary
So-called ghost job ads can lead applicants to spend time tailoring résumés and cover letters for roles that employers do not intend to fill. Job seekers may submit applications and receive no response, while the same listings can remain posted for months. In as many as one in five cases, companies have no real intention of filling the advertised opening. The listings can promote roles with attractive pay and potential even when the underlying job remains unavailable.
What the discussion said
AI was a side issue rather than the thread’s real battlefield. The only concrete AI-focused point was Ontario’s new requirement that larger employers disclose when they use AI to screen resumes. Commenters treated that as a sensible transparency measure folded into a broader attempt to clean up misleading hiring practices: applicants should know whether an automated system helped decide who advanced, especially when opaque screening can make a real opening feel indistinguishable from a resume-harvesting exercise. The rest of the debate concentrated on whether ghost listings can be defined and enforced, not on the quality or fairness of hiring models. Several readers argued that regulation needs to distinguish truly nonexistent roles from broad, continuously open engineering listings that may produce multiple hires. Others suspected that cheap, automated handling of applications makes it easier for employers to cast excessively wide nets, maintain speculative listings, and leave candidates without meaningful updates. No one offered a detailed argument about AI model bias, accuracy, or automated rejection rates, so the thread does not support stronger conclusions about AI hiring systems themselves. There was broad implicit support for disclosure, but little discussion of what disclosures should contain, how candidates could challenge automated decisions, or whether AI screening is responsible for ghost-job behavior.
Community Sentiment
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