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70 GoKawiil briefs on this topic

California enacts law limiting AI-only firing and discipline decisions

California Governor Gavin Newsom has signed SB 947, the 'No Robo Bosses Act,' which bars employers from letting automated decision systems alone fire or discipline workers. The law requires human verification of any AI-driven personnel decision and mandates employers disclose the data and reasoning behind it, including evaluations, work product and peer reviews. If a human reviewer finds the AI's output inaccurate or misleading, employers cannot act on it.

Opinion piece says hiring alone won't fix scaling startups' operational flaws

An Entrepreneur contributor opinion piece argues that businesses experiencing rapid growth often respond by adding headcount, increasing marketing spend, and working longer hours—but this can mask deeper structural problems rather than solve them. The piece cites SPR Research data showing billable utilization for professional services firms fell to a record low of 66.4% in 2025, well below a 75% target, as evidence that adding staff without fixing workflows makes scaling harder.

Entrepreneur op-ed argues rushed AI decisions are causing costly reversals for companies

An Entrepreneur contributor opinion piece warns that pressure to 'move fast' on AI adoption is pushing leaders into hasty decisions on technology, talent and investment. The author cites a finding that nearly one-third of U.S. hiring managers whose companies cut jobs due to AI have since rehired for some of those roles, and notes a survey showing only two in five leaders reflect on decisions weekly.

Major corporations leverage AI to transform operations and recruitment in 2026

In 2026, leading companies have adopted artificial intelligence to overhaul their core functions, including large-scale hiring and managing extensive retail networks. These innovations demonstrate how established organizations are utilizing new technology to enhance efficiency and scalability across their operations.

Report: Common hiring rules like degree cutoffs lack evidence of predicting success

An Entrepreneur opinion piece argues that widely used hiring criteria — resume formatting conventions, degree requirements, years-of-experience minimums and expectations of steady career progression — were rarely validated and instead became standard through repetition. It cites a 2026 audit of 14 AI resume-screening models showing that a 2023-built model still favored 'white-sounding' names in callbacks, while models built from 2024 onward showed no such gap.

Survey: 1 in 5 recruiters struggle to confirm interview candidates are human, not AI

A new survey of hiring professionals found that nearly 20% cite verifying whether an interview subject is a real person, rather than an AI tool or deepfake, as a top challenge in recruitment. The finding points to growing concern among employers about AI-generated candidates or AI-assisted interview responses infiltrating hiring pipelines. Frustration with the broader hiring process has also fueled a Reddit community, r/recruitinghell, that draws more than 1.2 million weekly visitors.

Hacker News runs October 2026 'Who wants to be hired?' thread

Hacker News posted its recurring monthly 'Ask HN' thread for job-seeking developers and tech professionals to list their location, remote preferences, skills, and contact details. The post restricts participation to individuals personally seeking work, explicitly excluding recruiters, agencies, and job boards. It also points readers to two third-party tools, nthesis.ai and wantstobehired.com, that aggregate past postings for searching.

Hacker News opens October 2026 'Who is Hiring' thread

Hacker News has posted its monthly 'Ask HN: Who is hiring?' thread for October 2026, inviting companies to list open roles directly rather than through recruiters or job boards. Posting rules require location details, remote-work status, and a brief company description for lesser-known firms, with posters expected to actively respond to applicants.

Sapia.ai and recruiters push skills-based hiring as AI floods resumes

Sapia.ai CEO Barb Hyman argues traditional resumes are becoming unreliable because AI tools let candidates mass-produce tailored CVs and cover letters, citing UK data showing graduate employers received an average of 140 applications per vacancy in 2025, a 30-year high. She and other recruiters say hiring is shifting toward directly assessing candidates' skills rather than relying on employment history, with Michael Page research finding about two-thirds of UK organizations already using skills-based hiring.

Career advice piece urges workers to redefine ambition on their own terms

A commentary addresses recent reporting on younger workers stepping back from traditional career ambition, citing frustrations with a tight job market, impersonal hiring practices, and pressure from hustle culture. It argues that while workers can't control the economy or their employers, they can define what they want from work and build a personal strategy to pursue it.

CHI 2026 study finds AI autocomplete can narrow gender pay gap in mock hiring evaluations

Researchers Liu, Lee and Bai ran a large between-subjects experiment where participants wrote hiring evaluations of resumes from a 'male' and 'female' applicant using an LLM autocomplete tool. When suggestions countered gender stereotypes, the female candidate's perceived competence and salary offers rose to match the male candidate's, but she was rated less likable, and the male candidate remained the overall favorite. Participants largely didn't notice the stereotype manipulation, focusing instead on the writing tool's usefulness.

Interviewer describes closing feedback question used across 1,000+ interviews

A hiring manager who says they have conducted more than a thousand interviews describes a practice of ending each session by offering the candidate direct, opinionated feedback rather than leaving the exchange one-sided. They ask permission first, then detail both strengths and concerns, and invite other interviewers on the panel to do the same, turning the interview into a two-way conversation.