23 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Quartz report on the white-collar pay correction: employers stopped raising pay years ago, and economists trace the freeze to the pandemic hiring boom companies are now correcting.
USA Today reports experts saying the traditional career path is fading as workers embrace AI and portfolio careers for more stability.
Business Chief reports Indeed CEO Hisayuki Idekoba calling the hiring market 'vicious' as AI-generated applications and a 111% surge in applicants per role overwhelm recruiters.
Research report on skills-first hiring: how employers are shifting from degrees to demonstrated skills, with key findings on assessments and talent evaluation. The site blocked an automated check, so this description is based on the page title and URL.
CNBC article (September 23, 2026) on how AI and the economy are reshaping hiring, and the job-search strategies recruiters and career experts now recommend.
ZipRecruiter Economic Research survey reporting its Job Seeker Confidence Index fell 6.3 points in Q3 2026 to 93.5, as hiring slowed and inflation ticked up.
CNBC's August 2026 survey report on the split between workers and managers over whether junior staff should use AI tools on the job — and what that means for entry-level careers.
Why I recommend it: Free to read. It's one survey of CNBC's own audience panel, so treat it as a snapshot of opinion, not a measurement of the whole workforce.
The research arm of the Indeed job site: free reports and data on job postings, wages and hiring trends, mostly US-focused with some international coverage.
Why I recommend it: The data comes from Indeed's own job listings, so it reflects what employers post on Indeed — not the whole labor market.
NYCEDC's monthly data briefing on the city's economy as of September 24, 2026: private-sector employment down 12,900 in August, unemployment at 4.8% after six straight monthly declines, labor force participation at 62.1%, median asking rent near $4,000, plus office visitation, tourism, and transit numbers.
Why I recommend it: The one-page-per-topic format makes this the fastest way to sound current on the NYC economy in an interview or a client meeting. Read the jobs and small-business pages; skip the real-estate detail unless it touches your field. It is a city agency's own read of its own economy, so pair it with the raw BLS numbers if you need the unspun version.
Allwork.Space looks at whether hiring really picks up in September and how job seekers should plan their fall search.
Why I recommend it: Seasonal hiring patterns are averages — your field may differ. Use this to time applications, not to pause your search.
Free article (September 2026) explaining why hiring feels slow despite open jobs, with six tips: target fewer roles, show quantified results and AI fluency, use a recruiter, consider contract work, and be interview-ready.
Why I recommend it: Written by a staffing firm, so the advice to work with a recruiter also promotes its own service.
A free study by Cory Hymel, Head of Research at Andela, published June 2026. It analysed 47,101 Fortune 500 software job postings against a map of what each established role was historically supposed to require, scored 2,026 distinct skills, and detected 23 candidate 'emergent roles' — job titles that are forming in the overlap between existing ones, the way ML Engineer formed between software engineering and statistics, and DevSecOps formed between development, security and operations.
Why I recommend it: Free to read in full, no signup. Use it for one thing: the titles a job is drifting toward before employers have a word for it. If the posting you are reading asks for skills from two different jobs, that is the pattern this study is measuring, and naming it in your application is stronger than claiming the old title. Two honest flags. Andela sells access to engineering talent, so a study showing that roles are changing faster than titles is also an argument for its own service. And it reads job postings, not people at work — a posting tells you what a company wrote down, not what the job turned out to be.
A 58-minute recorded webinar for college career-services staff and advisers, run by Jobscan with Jeremy Schifeling of The Job Insiders, on three labour-market numbers worth building this year's student advising around — including hiring data and H-1B sponsorship patterns.
Why I recommend it: Free to watch with no sign-up, recorded live on 22 September 2026. Be straight with yourself about what it is: a raw, unedited replay shared on a private Descript link by the host, which means it can be taken down at any time, and it is a webinar run by a company that sells resume-scanning software, so expect the product to appear. I could not read the full transcript, so I am not repeating the three figures here — watch it and check each number against its named source before you quote it to a student. Jeremy Schifeling also published a free H-1B sponsor-finder tool alongside the event.
The Black Wall Street Times covers an Institute for Women's Policy Research report on why roughly 600,000 Black women left the U.S. workforce, including public-sector cuts, caregiving load and hiring discrimination.
Why I recommend it: If your search feels harder than it should, this is the structural context — it helps separate market forces from personal performance.
Staffing Industry Analysts report on research showing that college graduates entering the workforce during the AI boom face starting-pay and employment conditions comparable to a major recession. Useful context for salary expectations and negotiation.
Why I recommend it: Read this before you accept a first offer — knowing the market backdrop keeps a low number from feeling personal.
Kirsten Visman on the rise in early terminations of new hires, the mismatch between how people describe their skills and what the job actually needs, and how to write a CV that survives the first 90 days.
Why I recommend it: Overselling a skill gets you hired and then fired. Write the resume you can defend on day one.
Dice's research report on tech hiring demand, in-demand skills, and salary movement across roles.
Why I recommend it: Use the skills demand section to decide what to learn next. It is one of the few free reports with role-level detail.
A nonprofit research institute that translates labor-market data into insights about skills, mobility, and the future of work.
Why I recommend it: Burning Glass turns labor-market data into actionable insight about which skills are in demand and who is getting left behind. I cite their research often.
Ramp's data report using anonymized corporate spending and hiring signals to track where AI is actually changing headcount and job functions.
Why I recommend it: Real transaction data instead of survey guesses. Useful if you want evidence about which roles are shifting rather than opinions.
Annual global study on cybersecurity hiring, skills gaps, budget pressure, and what helps practitioners grow their careers.
Why I recommend it: Details: use the hiring and skills-gap data to decide which security certifications and skills are actually in demand before you spend money on training.
Research on entry-level hiring, credentials, and what employers actually do after education.
Why I recommend it: Their entry-level hiring research is the clearest picture of what employers say versus what they do.
next play's breakdown of the different categories of AI companies hiring right now and where the momentum is heading.
Why I recommend it: Read it as a target list: pick two or three categories that match your background before you start applying.
Experis/ManpowerGroup research summary on how employers and employees are actually using AI at work, plus a five-step action plan for building AI career durability.
In plain terms: A research write-up from staffing firm Experis showing most employers now use AI in hiring and are fine with candidates using it too, while very few companies have AI fully rolled out. It argues AI mostly augments jobs rather than replacing them, and lists five practical steps — build durable skills, learn your company's AI tools, research use cases for your role, take free training, and propose a small pilot.
From the site: Exploring the key findings of our new report: Building and Sustaining a Meaningful Career in the AI Age.
Why I recommend it: The headline stat matters for job seekers: 85% of employers say it is fine for candidates to use AI during hiring, and 53% already use AI in hiring and onboarding. Use the five-step durability plan as a checklist — learn what AI your employer is deploying, find use cases for your role, take free training, then pitch one small pilot you can measure. That pilot becomes a resume bullet.
