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An SHL report based on a survey of U.S. and UK workers about career growth, reskilling and internal opportunity, stating that two-thirds of workers believe they must leave their employer to advance. SHL sells talent assessment services.
A Resume Now survey report on workplace values, stating that 70% of surveyed workers say leaders bend rules for favorites, with findings on fairness, favoritism and alignment between stated and practiced company values. Resume Now sells résumé-building services.
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.
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.
Reports U.S. tweens' and teens' access to devices and use of video, gaming, social media, and AI chatbots or companions, including differences by age and household characteristics. Revised age ranges, platform-focused questions and median time measures establish a new baseline rather than directly comparable overall screen-time estimates across census waves.
Why I recommend it: The report states the publication year but not an exact release day. Its revised methods establish a new baseline for screen-time comparisons.
ManpowerGroup's quarterly hiring outlook for tech and IT services, based on responses from 4,258 employers in 42 countries collected in July 2026. Available as an online viewer and PDF.
Korn Ferry's workforce survey report (September 8, 2026), presented as six findings plus a regional snapshot on how employees view their careers, growth and employers.
Pew Research Center reports on participation in online communities, reasons for joining or leaving, and views on how the internet affects social connection. The report draws on a survey of 9,750 U.S. adults conducted May 26–June 1, 2026.
Software Finder surveys 1,003 full-time U.S. professionals about time spent appearing busy, such as strategic Slack messages and open tabs, after real work is finished.
Western Governors University's second annual Workforce Decoded survey of more than 3,100 U.S. hiring professionals, examining how AI is changing the skills employers need and how they verify that candidates actually have them.
LeadDev and O'Reilly report based on responses from 384 engineering professionals, covering which performance metrics leaders trust, which they avoid, and how AI has shifted the software delivery bottleneck toward review. Published October 2026.
Reports Wondery and SmithGeiger survey findings on trust among U.S. creator fans and their responses to brand recommendations. Covers the relationship between episodic creator content, repeated brand mentions and audience trust.
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.
AI Impacts' September 2026 paper on its fourth Expert Survey on Progress in AI, which reached 1,580 researchers in December 2024; it reports shortened timelines to human-level AI and substantial uncertainty about consequences.
Press release from the American Psychological Association summarizing its 2025 Work in America survey, conducted by The Harris Poll. Fifty-four percent of U.S. workers said job insecurity significantly affected their stress levels, and 39% said they worried about losing their jobs within 12 months due to government policy changes. Includes survey findings and steps for employers.
Research project that collects evidence and analysis on the likely impacts of advanced AI, aimed at researchers, funders and policy-makers. Known for the Expert Survey on Progress in AI, the largest long-running survey of AI researchers on timelines and risks.
Highlights from the American Psychological Association's 2026 Work in America survey (The Harris Poll, May 21–June 1, 2026, 2,000+ U.S. workers). 37% of workers say their work environment harms their mental health, up from 32% the year before, and 48% feel tense or stressed during the workday. The report compares workers by psychological capital: hope, efficacy, resilience and optimism.
A worker survey on whether AI is already causing job losses finds a more complicated picture than the headlines suggest, looking at how AI is actually affecting employment and day-to-day work.
YouGov's 2026 report on how people in the US search for information online and how AI assistants are changing web search habits.
Resume Now's survey report on how U.S. workers say AI is changing their jobs, workloads and job security. The site blocked automated reading, so this description comes from the page title.
Findings from JetBrains' Developer Ecosystem Survey 2026 of more than 15,000 professional developers: 90% used AI coding agents at work at least weekly as of mid-2026, and 68% used them daily. The report tracks how agents are carving out a place in developers' toolkits.
Accenture's recurring Pulse of Change survey of C-suite executives and workers on business, technology and workforce trends, including how organizations are approaching AI adoption, talent and reinvention. The page presents the latest edition's findings with charts and analysis.
Gallup's library of workplace research articles on engagement, management, hiring and AI at work.
Gallup survey findings on how many U.S. workers report downsizing at their organizations.
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.
Owl Labs' tenth annual survey report on how US employees work across office, hybrid, and remote arrangements, including attitudes toward return-to-office policies and workplace technology. Owl Labs sells video-conferencing hardware, so it has a commercial interest in hybrid work.
Help Net Security summarizes the SANS 2026 threat hunting survey: 50% of respondents named data quality as the top barrier, ahead of skilled staff (45%) and budget (42%). Survey figures are self-reported by practitioners.
Kyndryl's 2025 Readiness Report, drawing on data from its Kyndryl Bridge platform and a survey of business leaders on IT infrastructure readiness, AI adoption, and preparedness for future risks. Kyndryl is an IT services company reporting on its own research.
Katja Grace, Harlan Stewart and co-authors survey 2,778 published AI researchers on when AI will reach various milestones and how risky it could be (arXiv, January 2024).
Why I recommend it: The largest survey of its kind, from AI Impacts. Expert forecasts vary widely and shift a lot with how questions are worded.
Gallup and Microsoft survey of the first 37 countries (of a planned 140): positive feelings about AI outweigh negative ones in 34, but a median 57% of adults have never used AI, and use ranges from 79% in Singapore to 3% in Malawi.
Why I recommend it: Free to read. Useful data on how people around the world feel about AI. Note the study is run with Microsoft, a company that sells AI, and covers only 37 countries so far.
A survey of more than 14,000 US adults on whether college is affordable and worth it. Only one in four adults without a degree think quality, affordable education is within reach.
Why I recommend it: Solid data if you're deciding whether a degree or a shorter credential makes sense for you.
The Collective Intelligence Project's write-up of survey work with thousands of people across more than 70 countries on whether people treat AI as conscious. Headline findings: 36.3% say an AI has already seemed to truly understand their emotions or seemed conscious; adaptive behaviour convinces far more people (58.3%) than scripted empathy lines (36.5%); 27.6% would lean on AI emotional support knowing it was not genuine; 54% think AI companions are acceptable for lonely people, 11% would consider a romantic relationship with one. Cultural gaps on scepticism run as wide as 78 percentage points.
Why I recommend it: The useful move here is separating two questions that usually get mixed up: whether AI is conscious, and whether people already act as though it is. This only answers the second. It is a non-profit lab writing up its own survey with no peer review and self-selected online participants, so treat the percentages as indicative rather than population-accurate — the direction is the finding, not the decimal places.
IBM Institute for Business Value survey of 1,500 chief HR officers and 8,800 employees worldwide, published 21 September 2026. 71% of CHROs call the ability to supervise, validate and override AI outputs the workforce's most essential skill, while only 29% of employees rank judgment as important. 60% of employees worry AI is eroding their skills, naming critical thinking most often; three in four of those say the erosion has already begun. CHROs name critical thinking (57%) and human judgment (48%) among the most important capabilities. 46% of organisations leave the CHRO out of AI strategy entirely.
Why I recommend it: The one number to take into an interview or a performance review: employers say the skill they now value most is checking and overruling the machine, and most employees have not caught up. That gap is your opening — say out loud that you review AI output rather than forward it. Read the rest carefully. This is IBM's own survey, run by IBM's consulting arm, and IBM sells the AI systems and the workforce redesign advice the study concludes you need; the free press release gives the figures, while the full report asks for your details. The 18% risk reduction and 20% quality improvement are self-reported by the companies surveyed, not measured by anyone independent, and 'employees worry their skills are eroding' is how people feel, not a test of whether their skills actually declined.
Chapter 3 of Pew's April 2025 report comparing US adults with AI experts on what AI will do over the next two decades. 56% of the experts surveyed expect AI's impact on the US to be positive, against 17% of the public; 35% of adults expect a negative impact, against 15% of experts. The gap is widest on work and money: 73% of experts think AI will positively affect how people do their jobs versus 23% of the public, and 69% versus 21% on the economy, with a 40-point gap on medical care (84% versus 44%). Experts and the public broadly agree on the risks to democracy and journalism: only 11% of experts and 9% of the public expect AI to help elections, while 61% of experts and 50% of the public expect harm. Gender splits are large among experts — 63% of male experts predict a positive impact versus 36% of female experts. Free to read, with methodology and appendix tables.
Why I recommend it: Use this when someone tells you 'the experts say AI will be fine at work' — the numbers show experts and the public are describing two different futures, and the widest gap of all is about jobs. Read it with two limits in mind: the fieldwork was in 2024 and published 3 April 2025, so it predates a lot of what has happened since, and Pew's 'AI experts' are people who published or presented at AI conferences, many of them employed by companies building AI, which is exactly the group the optimism gap belongs to.
Pew Research Center survey of 10,548 U.S. adults finds growing concern about data centers' environmental impact, home energy costs and quality of life, with majorities now saying they are mostly bad for the environment.
Why I recommend it: Pew Research Center short read published 22 September 2026, survey fielded 20 July–9 August 2026. 54% of Americans say data centers are mostly bad for the environment (up from 39% in January), 50% say mostly bad for home energy costs, 49% say mostly bad for nearby quality of life. Views on local tax revenue and jobs are mixed. 12% had not heard of data centers at all.
Allwork.Space's write-up of a four-day Reuters/Ipsos poll that closed on Sunday 20 September 2026: 73% of Americans worry AI companies have not gone far enough to prevent serious harm, 55% favour slowing AI development, 39% say AI is having a negative effect on society (up from 36% the month before, the highest since Reuters/Ipsos began asking in March), and only 11% call it positive. Most respondents said federal officials, not the companies, should set safety standards. Free to read, no paywall.
Why I recommend it: Useful when you need a number for how the public actually feels about AI at work rather than how vendors say it feels. Two honest limits: this is Allwork.Space reporting a Reuters/Ipsos poll, so read the original poll before quoting a figure in writing, and a poll measures opinion, not job losses — it tells you nothing about how many roles AI has actually replaced.
Survey data on how US workers are using AI, what they fear about it, and how confidence differs across roles and generations.
Why I recommend it: I use survey data like this to sanity check my own assumptions. If you feel behind on AI, the numbers may reassure you that most people are too.
Glassdoor research on worker attitudes toward AI in 2026 — covering adoption, concerns, and what employees expect from employers.
Why I recommend it: A useful snapshot of public sentiment around AI at work. Helpful for coaching conversations about which skills matter and how to talk about AI on the job.
