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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 their jobs for guaranteed income below their current salary, but about one in five would stay even at 120% of salary. The study suggests work can provide purpose, community and status as well as pay, but its results are self-reported, cross-sectional and not evidence of how people would actually behave.
A preprint posted to arXiv on October 29 reports that about one in five respondents to a survey of 8,234 working-age adults would not leave their job even if offered guaranteed income equal to 120% of their salary, with health cover, pension and paid leave retained. The study, by Julian Jacobs of the University of Oxford and Google DeepMind, examines whether work’s perceived value extends beyond income as artificial intelligence changes the prospect of employment.
The survey covered adults in the United Kingdom, United States, Denmark and India and was fielded in June and July 2026 by polling organization More in Common. Respondents were asked whether they would voluntarily quit if offered guaranteed income in steps from 60% to 120% of their current salary, while keeping specified benefits. These answers describe responses to a hypothetical scenario, not observed decisions.
Across the four-country sample, a slight majority said they would leave by an offer worth 80% of their salary; about three in four said they would leave at 100%. At 120%, approximately 20% remained unwilling to quit. Among respondents who accepted an offer, the median point at which they said they would leave was 70% of salary. The share still saying no at 120% varied by country, from 16% in the UK to 28.8% in India; the paper cautions that the Indian online sample was younger, more urban and more educated than the country’s population as a whole.
The paper also groups respondents by what they value in work. 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 paper’s figure says 73.7% put a non-financial reason first. These categories reflect answers to survey questions and do not establish that respondents’ stated priorities determine their choices in real life.
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 policy question raised by automation and possible job displacement: if technology reduces demand for some kinds of labor, can cash transfers compensate people for what employment provides? Jacobs argues that a basic income may be necessary during an AI-related labor shock, yet could fail to replace work’s non-financial benefits. That is the author’s interpretation of stated preferences, not a measured outcome of an income program or an AI-driven employment change.
The survey’s reported differences by motivation were modest. After statistical controls, people primarily motivated by purpose asked for about 1.9 to 5.8 percentage points more guaranteed income to quit than those primarily motivated by pay, depending on the analysis. The paper translates that range to roughly $1,100 to $3,500 a year for someone earning $60,000. It also reports that purpose-driven motivation was similar across household-income groups—about a third in each—and around a third among craft and trade workers. That suggests, within this sample, that reported interest in meaningful work was not confined to higher earners.
The implications for employers are also limited but relevant: compensation may not be the only factor shaping workers’ attachment to a job. The survey points to purpose, relationships and recognition as additional stated motives. It does not show which workplace changes would retain staff, whether those motives predict productivity, or how workers would respond to actual job cuts or a guaranteed-income policy.
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How the Survey Tested Work’s Value
The study, titled “What is Work For? Labor, Politics, and Meaning in the Age of AI,” is a 39-page, single-author preprint in general economics. The survey included 2,032 respondents in Denmark, 2,072 in India, 2,052 in the UK and 2,078 in the US. It used national quotas for age, gender, education and region, but an online survey with quotas does not by itself guarantee that every group represents its national population.
Alongside the hypothetical quitting offers, participants answered questions about what they value in a job, how they might use time outside work, perceived AI threats to employment and political views. The analysis uses cross-sectional regressions with controls including income, occupation, age, gender, education, part-time work and country. The paper 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. Those figures are respondents’ expectations, not forecasts of actual job losses.
The paper says the survey was supported by Google DeepMind, where Jacobs works, and states that its views do not necessarily reflect those of Oxford or DeepMind. It was posted to arXiv on October 29 and had not been peer-reviewed at the time described in the source material. The author also characterizes the analysis as “purely relational, not causal,” a limitation that matters when interpreting links between work values, AI concerns and political attitudes.
““may indeed be necessary””
— Julian Jacobs, author of the preprint
Limits of Hypothetical Answers
The survey asks what people say they would do under a hypothetical offer; it does not track whether they quit when offered guaranteed income. Responses may differ from decisions shaped by household obligations, job conditions, trust in the guarantee or uncertainty about its duration. The results therefore cannot establish how many workers would actually leave or what income level would persuade them in practice.
The preprint has not been peer-reviewed, and its estimates could change in later versions. The survey’s online design and country-specific sample differences also limit how confidently the results can be generalized, particularly for the Indian sample. The paper reports no statistically significant difference between work-value groups in populist vote intention, and its own account says the analysis does not establish causation. It remains unclear whether the reported patterns would hold in other countries, under a real AI-driven employment shock, or after workers experienced a specific income-support policy.
Peer Review and Follow-Up Evidence
The next concrete step for the research is further scrutiny of the arXiv preprint, including any revisions or peer-reviewed publication. Later work could test whether the survey’s patterns recur in more representative samples and in additional countries, and whether stated preferences predict behavior when workers face real offers or job changes.
For now, the paper offers a snapshot of how surveyed adults describe work and a hypothetical choice about leaving it. It does not establish the scale of future AI job losses or settle whether cash transfers can replace the social and personal roles of employment. Those questions require evidence beyond this cross-sectional survey, including observed decisions and evaluations of actual policies.
Key Questions
What did the study find about leaving work for guaranteed income?
In the survey’s hypothetical offer, a slight majority said they would leave by 80% of current salary, and about three in four would leave at 100%. Approximately one in five said they would still stay at 120%, with benefits retained.
Who took part in the survey?
The online survey covered 8,234 working-age adults in Denmark, India, the UK and the US. It was fielded in June and July 2026 by More in Common, using national quotas for age, gender, education and region.
Does the paper prove that AI will eliminate jobs?
No. It reports respondents’ expectations about AI and job replacement, including a comparison between white-collar and manual or service workers. Those expectations are not forecasts or evidence of future job losses.
Has the paper been peer-reviewed?
No. The source describes it as a preprint posted to arXiv on October 29, 2026, and says it had not been peer-reviewed. Its findings may change in a later version.
Can the results show whether basic income replaces what work provides?
No. The paper argues that income may not replace work’s non-financial benefits, but it relies on stated answers to hypothetical questions. It does not test an actual basic-income policy or measure workers’ behavior after receiving one.
Source: ThorstenMeyerAI.com
