17 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Reports on September 2026 tech unemployment, job postings and AI-skills demand using CompTIA’s analysis of BLS data and PwC’s workforce survey. Explains the coexistence of job losses and hiring demand; job postings are not completed hires.
Free blog outlining Forrester’s predictions about workplace AI monitoring, unequal access to tools and employee backlash. The scenarios are forecasts rather than observed 2027 outcomes; the full client report and advisory services are separate paid offerings.
Free press release summarizing PwC’s 2026 survey of 49,364 workers in 48 countries and regions. Describes differences in AI use, training access, job security and intent to change employers; these are self-reported survey associations, not proof that AI causes retention or productivity changes.
Upwork combines a survey of 2,400 U.S. workers with its own marketplace data to examine AI-related freelance work, earnings and interest in freelancing. Contrasts growing lower-complexity execution work with higher-value AI-augmented professional tasks; the platform findings do not represent all workers or establish a guaranteed earnings premium.
Grigory Sapunov describes how AI has changed his coding, research, company administration, reading and schedule. This is a personal account of AI-assisted work, not a representative study of software jobs.
ActivTrak reports associations between AI use, longer workdays, app switching, and focus in its workplace data. The figures are the company’s own findings and do not establish that AI caused longer workdays; the report announcement is free to read.
Free guides on getting started with AI, prompting, choosing tools, and using AI at work. The collection explains practical AI topics in plain English.
A free-to-read collection of step-by-step AI workflow guides for Claude, ChatGPT, automation, and everyday work. The guide collection is separate from paid University courses; individual tools used in a guide may charge fees.
Preprint, not yet peer-reviewed, by Anna Brandenberger, Hanna Mularczyk, and Dora Woodruff. The paper surveys more than 260 early-career mathematicians at nearly 60 institutions about their experiences and concerns around AI in mathematics.
Visier survey of 1,000 US employees on AI at work: 48% say they exaggerate their AI use and 59% doubt leaders have a plan for it.
Gallup report from the American Job Quality Study finding that while a majority of AI-using employees report working faster and more creatively, these benefits are concentrated among workers who already hold higher-quality jobs, such as college graduates, managers, and higher earners.
Press release summarizing survey results showing employees remain cautious about the use of AI in payroll processing.
An article on using AI to support skilled work instead of hollowing out the know-how people build over a career.
Why I recommend it: Opinion piece from a trade site — good prompts for thinking, not research findings.
A first-person account by Ann Henson, retiring VP of Client Success at CampusIQ, who at 71 opened more than 100 pull requests with 97 merged into production without becoming a developer. She describes exactly which tedious parts of her job she handed to AI tools and what she still did herself.
Why I recommend it: The most useful thing here for an older or non-technical worker is the honesty about scope: she did not learn to engineer, she automated the repetitive parts. Read it as one person's experience at one company, not a promise about your workplace.
Open-access study in Frontiers in Artificial Intelligence on how workers' career satisfaction holds up as AI enters their jobs, and why feeling supported by an employer does not fully cushion the effect over time.
From the site: IntroductionThe growing integration of Artificial Intelligence (AI) into the workplace is reshaping employees’ perceptions of job and career stability, poten...
Why I recommend it: Useful if you are coaching people through AI-driven change at work: the finding is that reassurance from an employer alone does not protect long-term satisfaction. Peer-reviewed and free to read in full.
Official training on using Gemini across Docs, Sheets, Gmail, and Meet.
Why I recommend it: Learning cross-app AI assembly at work is one of the highest-ROI skills right now.
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.
