X user posts 'ai recruiting isn't a thing'

An X post saying “ai recruiting isn’t a thing” circulated on May 22 as users argued over whether hiring software is overhyped or already changing who gets interviewed. The post, from user @FlowGo37, landed alongside other widely shared items that pointed in the opposite direction: reports of employers shifting away from junior hiring, product updates around agentic AI systems, and discussions of automated screening in recruiting workflows. The split captured a broader tension in the market. Recruiters and founders often use “AI recruiting” as a catchall, while the tools being deployed are usually narrower systems for sourcing, screening, scheduling or internal search rather than fully autonomous hiring. ### What was the argument around “AI recruiting” actually about? The May 22 post from @FlowGo37 framed the issue bluntly, saying “ai recruiting isn’t a thing” and questioning why companies would spend on it. The skepticism matched a common complaint in hiring circles: many products are marketed as end-to-end AI recruiting platforms, but buyers often encounter point solutions that automate only one part of the process. Industry guides from recruiting software vendors describe a more limited reality. Recruiterflow says AI recruiting tools are used across sourcing, screening and outreach, while Phenom says the technology is meant to automate repetitive tasks and provide data insights across the hiring process. ### Are employers actually cutting junior hiring? TechRadar Pro reported on May 22 that an Oliver Wyman global CEO study found younger workers could be hit hardest as employers focus more on midlevel roles. The report said 43% of CEOs expected junior roles to be reduced over the next year or two, up from 17% since 2025, while only 17% said they would shift focus toward more junior hiring. (recruiterflow.com) The same report said 74% of technology-sector CEOs were either freezing or reducing headcount, up from 67% the previous year. Around 30% said they were shifting hiring toward midlevel roles, up from 10% a year earlier, according to the study cited by TechRadar Pro. (techradar.com) Separate hiring data has pointed in a similar direction. TechCrunch reported in May 2025 that SignalFire found Big Tech companies reduced new-graduate hiring by 25% in 2024 from 2023, while startups cut graduate recruitment by 11%. ### So is this about recruiting software or about AI replacing entry-level work? (techradar.com) The evidence in current reporting suggests the two debates are overlapping. One debate is about software used by recruiters to search resumes, rank candidates or automate outreach. The other is about employers deciding they need fewer entry-level workers because AI can handle routine tasks those workers once did. TechCrunch reported on May 19 that Google’s Gemini 3.5 Flash was introduced as a model for coding and autonomous AI agents, with DeepMind chief technologist Koray Kavukcuoglu saying it outperformed Google’s latest frontier model on many benchmarks and was designed for agentic tasks. (techcrunch.com) ### Why did Gemini 3.5 Flash show up in recruiting discussions? Google published the Gemini 3.5 Flash model card on May 19 and said the model is distributed through the Gemini app, Gemini Enterprise App, Gemini Enterprise Agent Platform, Google AI Studio, Gemini API, Google Search AI Mode and Google Antigravity. The model card describes it as multimodal, with up to a 1 million-token context window and text output up to 64,000 tokens. (techcrunch.com) Google Cloud’s documentation for Gemini 3 Flash says the model is designed for complex agentic workflows and supports function calling, structured output, code execution and multimodal inputs including text, images, audio, video and PDFs. Those are the kinds of capabilities companies can plug into internal recruiting or career-service tools, even if Google has not positioned the model itself as a dedicated recruiting product. (deepmind.google) ### What should readers watch next? May 2026 product rollouts and employer disclosures are likely to show the next step more clearly than social posts. Google’s Gemini 3.5 Flash is already being distributed across consumer and enterprise channels, and hiring-market signals will be easier to track through company headcount plans, recruiting software launches and future employer surveys. (deepmind.google) (docs.cloud.google.com)