Recruitment edition
The numbers on AI in recruitment become concrete: hours saved, but also where things go wrong.
AI in your ATS can save up to 780 hours a year, but checking for bias stays your job
New research weighs the time savings of AI screening against a serious risk: old data can start filtering out good candidates all over again.
Research from 2026 shows that 79% of organisations have built AI into their ATS. That is the system where you manage vacancies and applications. The average time to hire falls from 27 to 7 days. Recruiters save around 6.5 hours a week. But the same experts warn that bias from old data can creep back into the system. Checking your own pipeline remains your responsibility, not the tool's.
Background for subscribersAI in your ATS can cut the time to hire from 27 to 7 days and save you 6.5 hours a week. Semantic scanning finds candidates faster and more accurately than keyword searching. But the tool learns from your old data. If there is a pattern of exclusion in that data, the AI will repeat it. So check regularly who the tool is rejecting and whether there is a sound reason for it. If you use a chatbot in your process, tell candidates upfront: that has been required since 2 August 2026. And know that emotion recognition is already fully banned. Also, do not open attachments from unknown senders without verifying they are genuine.
LinkedIn Hiring Assistant brings in 450 million dollars, but very little of it works truly independently
LinkedIn's AI recruitment tools brought in around 450 million dollars in April 2026. According to LinkedIn, recruiters save an average of over 4 hours per vacancy and view 62% fewer profiles. Research firm Fosway warns that only 27% of so-called agentic features on recruitment platforms actually work independently.
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