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TL;DR
A preprint analyzing a 2026 survey of 8,234 adults in the UK, US, Denmark and India found that about one in five respondents would not quit even for guaranteed income equal to 120% of salary, with benefits preserved. The findings suggest that money may not replace work’s purpose, social ties and recognition, but the study measures stated preferences, not what people would do after job loss or an AI-driven employment shock.
A preprint posted October 29 reports that about one in five of 8,234 surveyed adults would not quit their job even if offered guaranteed income equal to 120% of their salary, with health coverage, pension and paid leave preserved. The study, by Julian Jacobs of the University of Oxford and Google DeepMind, examines what work provides beyond pay as artificial intelligence raises concerns about jobs; it records answers to a hypothetical offer, not observed choices or the effects of AI job losses.
The paper, titled What is Work For? Labor, Politics, and Meaning in the Age of AI, draws on an online survey fielded in June and July 2026 by More in Common. It included 8,234 working-age adults: 2,032 in Denmark, 2,072 in India, 2,052 in the UK and 2,078 in the US. The study used national quotas for age, gender, education and region, though its India sample was younger, more urban and more educated than the country’s population as a whole.
Respondents were asked whether they would voluntarily quit at successive guaranteed-income offers, starting at 60% of current salary and rising in ten-point steps to 120%. Benefits were held constant in the scenario. Across the pooled sample, a slight majority would leave at 80% of salary, around three-quarters at 100%, and about 20% would still refuse at 120%. Among those who accepted an offer, the median threshold was 70% of salary and the average was 76%.
The paper sorts respondents into four profiles based on the reasons they value in a job. Among those it could classify, 33% were primarily motivated by the work itself, such as purpose, learning or contribution; 23% by colleagues and belonging; 17% by status and recognition; and 26% by pay and benefits. The author’s figure reports that 73.7% put a nonfinancial reason first. The purpose-driven share was similar across household-income groups, at 32% for low-income, 33% for middle-income and 34% for high-income respondents.
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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Why Pay May Not Replace Work
The results speak to a question facing employers and policymakers: if AI reduces demand for some kinds of labor, would income support alone address the consequences? The survey suggests a distinction between replacing earnings and replacing the experience of work. Respondents named purpose, learning, social connection and recognition alongside financial rewards, and a minority said they would stay in the hypothetical even when offered more than their current salary.
That does not establish that those respondents would reject financial support after losing a job, or that they would prefer unemployment to a different form of paid work. The scenario asks about voluntary quitting while current pay and benefits are guaranteed; it does not model involuntary displacement, household pressures, retraining or access to new jobs. The paper’s relevance is narrower but still useful: a policy response to AI-related disruption may need to account for social connection, identity and meaningful activity, not only income replacement.
The estimated differences between work-value groups were modest. After statistical controls, purpose-driven respondents required about 1.9 to 5.8 percentage points more guaranteed income than pay-driven respondents to say they would quit, depending on the method. The source translates that range to roughly $1,100 to $3,500 a year on a $60,000 salary. These are model-based associations, not evidence that a specific policy would produce those outcomes.
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How the Survey Tested Work Values
Jacobs’s paper is a 39-page, single-author preprint submitted to arXiv’s General Economics category on October 29, 2026. It has not been peer-reviewed, and the results may change in later versions. The survey combined questions about job values with the guaranteed-income exercise, questions about how respondents might spend their time if they stopped working, and measures of perceived AI threat and political attitudes.
The paper reports that 40% of white-collar respondents considered it at least somewhat likely that AI would replace their job within ten years, compared with 29% of manual and service workers. These figures measure respondents’ expectations, not forecasts of actual job losses. The study also found that purpose- and community-oriented respondents were more pessimistic when they expected AI to harm employment in their industry.
The author says the survey was supported by Google DeepMind, his employer, and that the views expressed do not necessarily reflect the positions of Oxford or DeepMind. The analysis uses cross-sectional regressions controlling for factors including income, occupation, age, gender, education, part-time status and country. The paper explicitly describes its analysis as relational rather than causal; its findings cannot show that work values cause particular political views or reactions to AI.
“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
What the Survey Cannot Establish
The results are based on hypothetical, self-reported choices. The study does not track whether respondents later quit jobs, lose work, receive guaranteed income or experience AI-driven displacement. It therefore cannot show how people would behave under real financial pressure or whether a basic-income program could replace the nonfinancial parts of work.
The paper is also an unreviewed preprint, and the author says later versions may change the numbers. Its sample design uses national quotas, but the source flags the India sample’s differences from the wider population. The survey’s political findings are especially limited: the paper’s tables do not show significant differences between the work-value groups in populist vote intention, and the author warns against causal conclusions.
It remains unclear how well the findings apply to people whose jobs are actually automated, to workers in countries not surveyed, or to people who cannot choose whether to leave work. The reported AI replacement expectations are respondents’ perceptions, not verified job-risk assessments.
What to Watch in Later Research
The paper may be revised after its initial arXiv posting, and peer review has not yet occurred. Future research could test whether the stated preferences hold in follow-up surveys or compare them with real decisions when people face job changes, income guarantees or retraining opportunities.
For now, the findings offer a snapshot of how adults in four countries describe work and react to a hypothetical offer. Policymakers and employers considering AI-related workforce changes would need additional evidence on actual job displacement, the effects of income support and which alternatives—such as training, community programs or new forms of work—meet people’s needs.
Key Questions
What did the survey find about quitting for guaranteed income?
In the hypothetical scenario, about one in five respondents would not quit even at guaranteed income equal to 120% of salary, with health coverage, pension and paid leave preserved. Around three-quarters said they would quit at an offer equal to their current salary.
Does the study show that AI will replace 40% of white-collar jobs?
No. The 40% figure describes respondents’ expectations: that share of white-collar workers considered AI replacement of their job within ten years at least somewhat likely. It is not a forecast or a count of jobs expected to disappear.
Can the findings show that basic income cannot replace work?
No. The author argues that income support may not compensate fully for work’s nonfinancial value, but the survey tests stated responses to a hypothetical offer. It does not measure the effects of a basic-income policy or people’s choices after actual job loss.
Has the paper been peer-reviewed?
No. It was posted to arXiv on October 29, 2026, as a preprint and had not been peer-reviewed according to the supplied source. The author notes that later versions may change the results.
Source: ThorstenMeyerAI.com
