Greenhouse

Ribbon AI, a voice-AI recruiting platform, reports that approximately one quarter of its interviews occur between 10 p.m. and 2 a.m. local time. Company leaders cite this 24/7 availability as a major accessibility feature that increases inclusive hiring opportunities for candidates who might otherwise struggle to interview during the day. The tool is also credited with improving employee retention by 10% to 30% across top customers.

The article discusses two modes of agentic AI work, metaphorically described as 'The Greenhouse' and 'The Lens'. It explores how these modes represent different approaches to AI development and application.

Tech firms are resuming in-person job interviews to prevent AI use in hiring, as AI undermines virtual coding tests. Stanford economics professor Nick Bloom notes candidates can use AI during online interviews, prompting some companies to add in-person rounds. Some employers are integrating AI in interviews but emphasizing hands-on skills validation.

Job seekers are using AI tools to apply to multiple jobs on Greenhouse, costing $20 per tool, while employers face overwhelming application floods and indistinguishable AI-generated resumes. Greenhouse CEO Daniel Chait describes this cycle as an 'AI doom loop' where both sides struggle, with 254 applications per job and a 412% rise in applications per recruiter.

A Reddit user reports frequent phishing attempts targeting their Google/YouTube account, including unauthorized sign-in prompts, scam calls, phishing emails, and a suspicious job interview link. They express frustration over the increasing sophistication of these scams and seek solutions beyond reporting.

AI chatbots are increasingly used for white-collar job interviews, with companies like Experis, Coinbase, and Zapier adopting the technology. A Greenhouse survey found 63% of US job seekers had AI interviews in the past year, sparking debate over bias and candidate experience.

Job descriptions have significantly increased in length and complexity, often combining multiple roles and listing excessive qualifications. AI tools like ChatGPT are cited as contributors, leading to verbose, jargon-filled lists that overwhelm job seekers. Studies by BambooHR, Greenhouse, and Indeed show rising character counts and sections in job postings since 2022.

The article challenges common career advice such as 'follow your passion' and 'apply to many jobs,' arguing these strategies may not be effective. Experts suggest focusing on aligning emotional needs with work and prioritizing networking over mass applications. Employers often overlook most applications, making targeted connections more valuable.

James Reed, CEO of Reed Recruitment, argues that traditional networking methods outperform AI-generated applications in a hiring market overwhelmed by identical submissions. LinkedIn data shows U.S. job applicants per role doubled since 2022 as AI reshapes hiring processes, with 93% of recruiters planning to increase AI use in 2026.

A survey by Greenhouse found that 47% of UK job seekers have experienced AI interviews, with 30% abandoning the hiring process due to frustration. The study highlights widespread dissatisfaction with the 'completely horrible' and unnatural AI interview experience.