🔍 Read the full analysis: A Survey Of 8,234 Workers Examines AI And The Value Of Work on ThorstenMeyerAI.com
Prime made for students and young adults
- Fast, free delivery for dorm and study essentials
- Prime Video and Amazon Music included
- Member-only deals
TL;DR
A preprint based on an online survey of 8,234 working-age adults in the UK, US, Denmark and India finds that many respondents put purpose, community or status ahead of pay when describing what matters in a job. Most said they would leave work for guaranteed income below their current salary, but about one in five said they would stay even at 120% of pay; the survey measures stated preferences, not observed behavior.
A new arXiv preprint reports that about one in five of 8,234 working-age adults surveyed in the UK, US, Denmark and India said they would not leave their job even for guaranteed income equal to 120% of their salary, with health cover, pension and paid leave preserved. The survey, led by Julian Jacobs of the University of Oxford and Google DeepMind, also found that respondents often put purpose, community or recognition ahead of pay when asked what matters in work; its findings are self-reported and have not been peer-reviewed.
The paper, titled What is Work For? Labor, Politics, and Meaning in the Age of AI, was submitted to arXiv on October 29, 2026. It draws on an online survey conducted in June and July by polling organization More in Common. The sample included 2,032 people in Denmark, 2,072 in India, 2,052 in the UK and 2,078 in the US, with national quotas for age, gender, education and region. The paper says the survey was supported by Google DeepMind, Jacobs’ employer.
In the survey’s guaranteed-income scenario, participants were asked whether they would quit at a series of income offers, rising from 60% to 120% of their current salary in 10-point steps. The hypothetical package retained healthcare, pension and paid leave. A slight majority said they would leave at 80% of salary; about three-quarters said they would leave at 100%. Among respondents who accepted an offer, the median point at which they said they would quit was 70% of salary, and the average was 76%.
The paper also sorts respondents into four work-value profiles. Among those it could classify, 33% were primarily motivated by the work itself, including purpose, learning and contribution; 23% by colleagues and belonging; 17% by status and recognition; and 26% by pay and benefits. The paper’s figure says 73.7% put a non-financial reason first. The reported share primarily motivated by the work itself was similar across low-, middle- and high-income groups—32%, 33% and 34%—and about a third among craft and trade workers.
WHAT WORK IS FOR, ACCORDING TO WORKERS
Three in four put something other than pay first
The paper sorts workers by what they rate most important in their job. In its own figure, 73.7% of classified workers put a non-money reason first.
The work itself: purpose, learning, contributing to society.
Pay and benefits come first.
Belonging, colleagues, meeting people.
Recognition and prestige.
Pay-first share, by country
Share of classified workers whose top value is pay and benefits
Meaning is not a luxury
Share driven by the work itself (intrinsic), by household income third
Also about a third in craft and trade jobs (33%) and in services and sales (31%).
Shares of the 6,224 working respondents the paper could classify; 2,010 respondents (non-working, or no clear top value) were left out. 2,000 tied answers were assigned by a tie-break rule. Satisfied with their job: 81%.
Source: Jacobs, What is Work For?, arXiv:2610.39375v1, 29 Oct 2026 · preprint, not peer-reviewed · survey of 8,234 working-age adults in the UK, US, Denmark and India by More in Common, June–July 2026, supported by Google DeepMind.
Powered by Thorsten Meyer AI
What Workers May Lose Beyond Pay
The findings speak to a live question about AI-driven changes to employment: if technology reduces the need for some kinds of work, can income support replace what people receive from jobs? The survey suggests that at least some workers value more than wages, including social contact, a sense of contribution and recognition. Those roles could matter when policymakers and employers plan for job displacement or consider income guarantees.
But the paper does not show that these factors will cause people to oppose automation, or that income support would fail in practice. Its estimates describe answers to a hypothetical scenario. After statistical controls, people classified as purpose-driven asked for about 1.9 to 5.8 percentage points more guaranteed income to quit than pay-driven respondents, depending on the method used. At a $60,000 salary, the paper equates that difference to roughly $1,100 to $3,500 a year. The author argues that basic income may be necessary during an AI-related labor shock but may not compensate for everything work provides; that is an interpretation of survey responses, not a measured policy outcome.
The survey also found a difference in perceived exposure: 40% of white-collar respondents said AI was at least somewhat likely to replace their job within ten years, compared with 29% of manual and service workers. These are respondents’ expectations, not forecasts of actual job losses.
Products Worth Considering

Samsung 27-inch Odyssey OLED G6 QD-OLED QHD Gaming Monitor

Sonos Era 100 SL Compact, Microphone-Free Speaker – Black

LG UltraGear 27-Inch QHD OLED Gaming Monitor, 240Hz, 0.03ms, G-SYNC Compatible, FreeSync Premium Pro, HDMI 2.1
As an affiliate, we earn on qualifying purchases.
How the Survey Tested Work Values
The study combines questions about what matters in a job with a hypothetical choice between continuing to work and receiving guaranteed income. Respondents rated job factors including pay, benefits, purpose, learning, social contribution, belonging, social contact and status. The resulting profiles are categories created by the study’s method; they should not be treated as fixed identities or direct measures of workplace behavior.
Jacobs used cross-sectional regression models with controls including income, occupation, age, gender, education, part-time work and country. The paper says its analysis is “purely relational, not causal.” Its political findings also warrant care: although purpose- and community-driven respondents became more pessimistic when they expected AI to harm employment in their industry, the paper’s tables did not show significant differences between the groups in populist vote intention.
The results are from a 39-page, first-version preprint, rather than a peer-reviewed journal article. The paper identifies Google DeepMind as supporting the survey and says its views do not necessarily reflect those of Oxford or DeepMind. The India sample, the paper notes, was younger, more urban and more educated than the country’s population overall, which limits how broadly that country’s results can be generalized.
““purely relational, not causal.””
— Julian Jacobs, paper author
Limits of the Preprint Evidence
The survey records what respondents said they would do in a hypothetical choice, not whether they would actually quit if offered guaranteed income. It cannot establish how people would respond to a real policy, how employers might change working conditions, or whether the reported preferences would persist over time. The paper’s cross-sectional design also does not establish that particular work values cause a response to AI or political change.
The preprint has not been peer-reviewed, and the source material describes it as version one, so results or methods could change in later versions. The supplied material does not include enough detail to independently assess every survey item, weighting decision or classification choice. Country comparisons, especially for India, should be read with the sample limitations stated in the paper. It also remains unclear whether follow-up research will test these findings against observed employment decisions.
Peer Review and Follow-Up Research
The paper is available as an arXiv preprint, and a later version could clarify or revise its methods and estimates. No peer-review outcome or follow-up study is specified in the source material. Readers should watch for a journal publication, updated results, or research that compares stated preferences with workers’ behavior in actual labor-market or income-support settings.
For now, the study offers a snapshot of reported attitudes from four countries, not a prediction of how many jobs AI will replace or proof that income guarantees cannot make up for lost workplace benefits. Its clearest finding is narrower: many respondents say work matters for reasons beyond pay, while most also say they would leave if offered a sufficiently attractive guaranteed income.
Key Questions
What does the survey say about why people work?
Among respondents the paper could classify, 33% were mainly motivated by the work itself, 23% by colleagues and belonging, 17% by status and recognition, and 26% by pay and benefits. The study groups are based on survey answers, not observed behavior.
How many respondents said they would stay at 120% of their salary?
About 20% said they would not quit even at guaranteed income equal to 120% of their salary, with health cover, pension and paid leave kept. This was a hypothetical question.
Was the study peer-reviewed?
No. The 39-page paper was posted to arXiv as a preprint on October 29, 2026, and had not been peer-reviewed according to the source material.
Does the paper prove that basic income cannot replace the value of work?
No. The author argues that income support may not replace all the benefits people associate with work, but the survey measured stated preferences rather than real-world outcomes. The paper also describes its analysis as relational, not causal.
Source: ThorstenMeyerAI.com
