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TL;DR
A preprint based on an online survey of 8,234 working-age adults in four countries examines what people value in work as AI reshapes jobs. Most respondents said they would quit for guaranteed income below their current salary, but about one in five said they would stay even at 120%; the survey measures stated preferences, not actual behavior.
A non-peer-reviewed arXiv preprint based on a survey of 8,234 working-age adults in the UK, US, Denmark and India finds that most respondents would leave their jobs for guaranteed income below their current salary, but about one in five said they would stay even if offered 120% of their pay. The study, by Julian Jacobs of the University of Oxford and Google DeepMind, examines what work provides beyond wages as concerns grow about AI changing jobs.
The paper, titled What is Work For? Labor, Politics, and Meaning in the Age of AI, was posted to arXiv on October 29, 2026. Its findings come from an online survey fielded in June and July by polling organization More in Common. The sample included 2,032 adults 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.
Participants were asked whether they would voluntarily quit if offered a guaranteed income equal to a rising share of their current salary, while retaining healthcare, pension and paid leave. Offers increased from 60% to 120% of pay in ten-point steps. According to the paper, a slight majority would leave at 80% of salary, around three-quarters at 100%, and about 20% would still refuse at 120%. Among respondents who accepted an offer, the median point at which they said they would quit was 70% of salary.
The paper groups respondents by their stated work values. Among those it could classify, 33% were primarily motivated by the work itself, including purpose, learning or contribution; 23% by colleagues and belonging; 17% by status and recognition; and 26% by pay and benefits. The author reports that the work-focused share was similar across lower-, middle- and higher-income groups. These categories reflect answers to a survey, not observed decisions about leaving a job.
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.
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What Income Cannot Measure
The findings speak to a policy and workplace question raised by AI: if automation reduces demand for some jobs, can income support replace what people lose when work disappears? Jacobs argues that a basic income may be necessary during an AI-related labor shock, but may not replace purpose, relationships, learning or recognition. That is an interpretation of survey responses, not a demonstrated effect of AI or an evaluation of an actual income-support program.
The results also resist a simple claim that work is either mainly about money or inherently meaningful to everyone. Most respondents in the hypothetical exercise were willing to leave for a guaranteed payment below their current salary. At the same time, a substantial minority said they would remain even at a higher guaranteed income. For employers and policymakers, the distinction matters: income protection may address financial losses, while the survey suggests some people also value social and personal features of work.
The reported differences in motivation do not appear large in the paper’s adjusted models. People classified as purpose-driven asked for roughly 1.9 to 5.8 percentage points more of their salary than pay-driven respondents before saying they would quit, depending on the method used. These are model-based differences in stated preferences; they do not establish how workers would act when faced with a real offer or job loss.
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How the Survey Tested Work
The study uses a hypothetical “guaranteed income” offer to probe how respondents value employment. Alongside the quit question, the survey asked about job priorities, how people might use their time if they stopped working, perceived AI threats and political views. The paper analyzes the answers using cross-sectional regressions that account for factors including income, occupation, age, gender, education, part-time work and country.
The author reports that 40% of white-collar respondents thought AI was at least somewhat likely to replace their job within ten years, compared with 29% of manual and service workers. That figure records respondents’ expectations; it is not a forecast of job losses. The paper also reports that people motivated by purpose or community were more pessimistic when they expected AI to harm employment in their industry. It says its analysis is relational, not causal, and its tables do not show significant differences between the work-value groups in populist voting intention.
The study is a 39-page, single-author version-one preprint, not peer-reviewed research. The paper says the survey was supported by Google DeepMind, Jacobs’s employer, and that its views do not necessarily reflect those of Oxford or DeepMind. The online sample in India was younger, more urban and more educated than the country’s population overall, a limitation the source flags when reporting country-level results.
“A basic income “may indeed be necessary” in an AI labor shock, but “could ultimately fail to compensate workers” for what work gives beyond money.”
— Julian Jacobs, the paper’s author
Limits of the Stated Preferences
The quit scenario is hypothetical. The study does not show whether respondents would actually leave a job for guaranteed income, how they would spend their time afterward, or how people respond to real unemployment or AI-driven workplace changes. The survey also cannot establish that AI caused respondents’ concerns or work preferences.
The preprint has not been peer-reviewed, and its author notes that later versions could change the results. The source material does not provide evidence that the reported patterns apply beyond the four countries surveyed. In particular, the India sample’s demographic profile limits how confidently its results can be generalized to the country as a whole. It also remains unclear how the author’s interpretation would hold up with different survey designs or observed behavior.
Peer Review and Follow-Up Evidence
The immediate next step is for the preprint to receive scrutiny from other researchers and, if revised, to publish later versions with any changes to the data or analysis. The source material does not identify a peer-review decision, a publication schedule or a planned follow-up survey.
Further research could compare stated preferences with what workers do when offered real income support or when their jobs change. For readers and policymakers, the current findings are best treated as evidence about attitudes, not a measure of how many jobs AI will remove or a forecast of how people will respond to automation.
Key Questions
What did the survey find about leaving work for guaranteed income?
In the hypothetical exercise, a slight majority said they would leave at 80% of their current salary, and around three-quarters at 100%. About one in five said they would still stay at 120%.
Does the study show that AI is replacing jobs?
No. It reports respondents’ expectations about AI and work, including that 40% of white-collar respondents saw some likelihood their job would be replaced within ten years. That is a measure of concern, not evidence of actual or predicted job losses.
Is the research peer-reviewed?
No. The paper was posted to arXiv on October 29, 2026, as a version-one preprint. Its findings may change in later versions.
Can the results predict what people would do in real life?
Not on their own. The survey records answers to a hypothetical offer, rather than actual decisions. The author also says the analysis is relational and does not establish cause and effect.
Who funded the survey?
The paper says the survey was supported by Google DeepMind. It also says its views do not necessarily reflect those of DeepMind or the University of Oxford.
Source: ThorstenMeyerAI.com
