Recruiting and talent-operations blog covering hiring processes, applicant tracking systems, and how recruiters actually evaluate candidates.
Why I recommend it: Reading recruiter-facing blogs tells you what happens after you hit submit. That context changes how you write applications.
Read / subscribe freeThis is the only entry from Karpiak Consulting Blog in the hub so far.
Other resources that share this publication's topics.
A Substack newsletter on hiring trends and job market conditions written from inside recruiting, with posts on how employers screen and select candidates. Free posts are available to read and subscribe to by email.
A Cosign list compiled by Jack & Jill AI of 100 companies, mostly UK and European startups such as ElevenLabs, Cohere and Attio, with short company descriptions and links to their open jobs.
A KDnuggets guide by Vinod Chugani that goes round by round through current data science hiring processes, including AI-assisted coding rounds and generative AI evaluation questions, and lists ways candidates can prepare.
A Built In survey of job seekers on how AI tools shape which employers they find and consider. Among respondents who use AI for employer research, 66% say they applied to a company they had not considered and 53% say they decided not to apply somewhere because of what AI showed them. Built In sells employer branding services.
CNBC analysis of Bureau of Labor Statistics data finds average monthly long-term unemployment above 1.8 million in 2026, up about 45% from 2019 and 55% from 2023. The article examines financial, emotional and family effects that can continue after people return to work.
Why I recommend it: Long-term unemployment means joblessness lasting at least 27 weeks. The figures are CNBC's analysis of BLS data published June 4, 2026.
Analyzes logged job searches, application channels, resumes and AI-related hiring trends using Huntr activity and a survey of 329 job seekers. Includes methods and limitations, emphasizing that self-selected, self-reported data describes Huntr users rather than the entire labor market.
Why I recommend it: Uses Huntr user activity and a self-selected survey of 329 job seekers; results are not representative of all job seekers.
