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TL;DR
A preprint analyzing a survey of 8,234 working-age adults in four countries finds that most respondents would leave work for guaranteed income below their current salary, but about one in five would stay even at 120% of pay. The findings suggest work may provide purpose, community and recognition that income alone does not replace, though the survey measures stated preferences—not actual behavior—and the paper has not been peer-reviewed.
A survey of 8,234 working-age adults in the UK, US, Denmark and India found that about one in five respondents would not quit even if offered guaranteed income equal to 120% of their salary, with healthcare, pension and paid leave retained. The results appear in a non-peer-reviewed arXiv preprint by Julian Jacobs of the University of Oxford and Google DeepMind, examining whether income could replace the purpose, relationships and recognition people say they get from work as AI changes jobs.
In the survey’s hypothetical offer, respondents were asked at what level of guaranteed income they would voluntarily leave their job. The offer rose in steps from 60% to 120% of current salary, while benefits were kept. A slight majority said they would leave by 80% of their salary; about three-quarters would leave at 100%. Among those who accepted an offer, the median threshold was 70% of salary, according to the paper.
The paper groups respondents by the work values they ranked most highly. Among people the authors could classify, 33% were primarily driven 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. In the paper’s figure, 73.7% put a non-financial reason first. The author reports that the purpose-driven share was similar across household income groups, at 32% to 34%, and about a third among craft and trade workers.
The reported holdout share was 21% among lower-income respondents, 18% among middle-income respondents and 22% among higher-income respondents. It was 21% for white-collar workers and 17% for blue-collar workers. These figures describe answers to a hypothetical survey question; they do not show how people would act if actually offered the money.
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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Income May Not Replace Work’s Other Roles
The findings speak to a central question in debates over AI and job displacement: if technology reduces demand for human labor, can cash payments compensate people for losing work? Jacobs argues that a basic income may be necessary in an AI-driven labor shock, but could fail to replace what people gain from work beyond wages. That is the paper author’s interpretation of survey answers, not a measured outcome of an AI transition.
The distinction matters for workers and policymakers. If jobs provide purpose, social ties or recognition, income support alone may not address every cost people associate with losing employment. At the same time, the survey suggests most respondents would accept less than their current pay to stop working under the stated conditions. The results therefore point to varied preferences, not a single worker response to automation.
The estimated financial differences between groups were modest. After statistical controls, respondents primarily motivated by purpose said they would require about 1.9 to 5.8 percentage points more guaranteed income than pay-driven respondents to quit, depending on the method used. The paper translates that range to roughly $1,100 to $3,500 a year for someone earning $60,000. These are model-based estimates from stated preferences, not observed wage demands.
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How the Survey Tested Work Values
The preprint, titled What is Work For? Labor, Politics, and Meaning in the Age of AI, was posted to arXiv on October 29, 2026. Jacobs reports that More in Common fielded the online survey in June and July, with national quotas for age, gender, education and region. The samples included 2,032 respondents in Denmark, 2,072 in India, 2,052 in the UK and 2,078 in the US.
Participants answered questions about what mattered in their jobs, including pay, benefits, purpose, learning, contribution to society, belonging, social contact and status. The researchers used those responses to create four work-value profiles, then asked about the guaranteed-income offer, how respondents might spend their time, and their views on AI’s effects. The analysis uses cross-sectional regressions with controls for factors including income, occupation, age, gender, education, part-time work and country.
The paper says the survey was supported by Google DeepMind, Jacobs’s employer, and states that its views do not necessarily reflect those of Oxford or DeepMind. It is a 39-page version-one preprint and has not been peer-reviewed; results could change in later versions. Jacobs also reports that 40% of white-collar respondents considered AI at least somewhat likely to replace their job within ten years, compared with 29% of manual and service workers. Those figures reflect respondents’ expectations, not a forecast of actual job losses.
“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, author of the arXiv preprint
Limits of the Evidence So Far
The survey records hypothetical choices, not actual decisions after a job loss or a real guaranteed-income offer. It cannot establish whether respondents would quit under real-world conditions, how they would use their time, or whether their stated work values would change as AI reshapes their industry. The study is cross-sectional, so it also cannot show that AI expectations cause changes in attitudes or behavior.
The author reports that purpose- and community-driven respondents became more pessimistic when they expected AI to harm jobs in their industry. However, the paper’s tables do not show significant differences between the work-value groups in populist vote intention. The preprint itself cautions against causal conclusions. The online sample in India was younger, more urban and more educated than the country’s population overall, which the paper says should be considered when interpreting its comparatively high 28.8% holdout share there.
The results may also change after review or in later versions. The paper’s funding disclosure identifies Google DeepMind as supporting the survey, but the supplied material does not establish whether that support affected the results. The findings do not measure AI adoption, job losses or the effectiveness of a basic-income policy.
Peer Review and Further Testing
The immediate next step is scrutiny of the arXiv preprint by researchers and readers; no peer-review outcome or later version is identified in the source material. Future studies could test whether stated preferences predict real choices and track whether views change as workers encounter AI-related changes in their own workplaces.
For now, the paper offers a cross-country snapshot of how respondents value work and what they say would persuade them to leave. It does not establish how many jobs AI will replace, whether cash support would offset the effects, or which policies would best preserve the benefits people associate with work.
Key Questions
What did the survey find about quitting for guaranteed income?
About three-quarters of respondents said they would leave at 100% of their current salary, with benefits retained. About one in five said they would still stay at 120%. These were hypothetical answers.
What did respondents say they value in work besides pay?
The paper grouped respondents around four leading work values: the work itself, including purpose and learning; colleagues and belonging; status and recognition; and pay and benefits. Among those classified, 73.7% put a non-financial reason first in the paper’s figure.
Does the paper prove AI will cause job losses?
No. It reports workers’ expectations about AI and job replacement, not observed job losses or a forecast. The survey also cannot show that AI expectations cause changes in work or political attitudes.
Has the study been peer-reviewed?
No. It was posted to arXiv on October 29, 2026 as a version-one preprint. The paper says its survey was supported by Google DeepMind, the author’s employer.
Source: ThorstenMeyerAI.com
