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TL;DR
A preprint based on a survey of 8,234 adults in four countries finds that most respondents would leave their jobs for a guaranteed income below their current pay, while about one in five would stay even at 120% of salary. The study suggests that work can provide purpose, belonging and status as well as income, but it is not peer-reviewed and measures stated preferences, not actual behavior.
A survey of 8,234 working-age adults in the UK, US, Denmark and India found that about one in five would not quit even if guaranteed income matched 120% of their current salary and retained health coverage, pension and paid leave. The finding comes from an October 29 arXiv preprint by Julian Jacobs of the University of Oxford and Google DeepMind, which examines what workers value beyond pay as artificial intelligence raises questions about the future of jobs.
The study, titled What is Work For? Labor, Politics, and Meaning in the Age of AI, uses an online survey fielded in June and July 2026 by polling organization More in Common. Respondents were offered guaranteed income in steps from 60% to 120% of their current salary and asked whether they would voluntarily leave work, with healthcare, pension and paid leave preserved. The offers were a hypothetical choice, not a change in respondents’ actual circumstances.
Across the four-country sample, a slight majority said they would leave at an offer of 80% of salary; roughly three-quarters said they would leave at 100%. At 120%, about 20% remained unwilling to quit. Among those who accepted an offer, the median point at which they would leave was 70% of salary. The paper also groups workers by their leading job value: 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 reports that 73.7% placed a nonfinancial reason first among workers it could classify.
Jacobs reports that the share primarily motivated by the work itself was similar across household-income categories—32% among low-income, 33% among middle-income and 34% among high-income respondents—and about a third among craft and trade workers. In adjusted analyses, purpose-driven respondents required a guaranteed offer about 1.9 to 5.8 percentage points higher than pay-driven respondents before saying they would quit, depending on the model. These are associations in survey responses, not evidence that purpose causes people to stay in jobs.
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 Workers May Lose Beyond Pay
The results address a practical question facing governments and employers: if automation reduces demand for some kinds of labor, would replacing wages with income support make people whole? Jacobs argues that a basic income may be necessary during an AI-related employment shock, but could fail to replace benefits people get from work beyond money, including purpose, social contact and recognition. That is the author’s interpretation of stated preferences, rather than a tested forecast of how people would behave after losing jobs.
The findings also complicate a simple picture of workers as either dependent on a paycheck or attached to a vocation. Most respondents said they would leave for a guaranteed income below their current salary, while a substantial minority would not leave even at a higher offer. For policymakers, the distinction could matter when considering income support alongside opportunities for community, meaningful activity and social participation. For employers, it suggests that compensation alone may not account for why some workers remain in a role.
The study 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 record perceived risk, not a forecast of job losses. The paper also finds that workers who value purpose or community become more pessimistic when they expect AI to harm employment in their industry, but it does not establish that these views will translate into political action.
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How the Survey Tested Work Values
The preprint is a 39-page, single-author paper posted to arXiv in its first version on October 29, 2026, in the General Economics category. It has not been peer-reviewed, and its results could change in later versions. The survey included 2,032 respondents 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 rated the importance of job features including pay, benefits, purpose, learning, contribution to society, belonging, meeting people and social status. The author sorted responses into four “Work Values Profiles” and asked about guaranteed income, use of time, perceived AI threats and political attitudes. The analysis uses cross-sectional regressions with controls for factors such as income, occupation, age, gender, education, part-time work and country. The paper itself describes its analysis as “purely relational, not causal.”
The paper says the survey was supported by Google DeepMind, Jacobs’s employer, and says its views do not necessarily reflect those of Oxford or DeepMind. That funding is relevant context for readers evaluating the research. A separate article by Thorsten Meyer, dated November 1, 2026, summarized and assessed the paper; the survey findings described here are from the preprint, not from that commentary.
““may indeed be necessary””
— Julian Jacobs, paper author
Limits of the Early Evidence
The findings come from a single online survey and a hypothetical quit question. It is not clear whether respondents would make the same choices if they faced a real job loss, a sustained guaranteed payment or an offer with different conditions. The survey records what people said they would do, not observed decisions over time.
The paper is an unreviewed preprint, so its methods and estimates have not yet gone through peer review. Its national quotas do not make every online sample representative of each country’s population. The author specifically notes that the Indian sample was younger, more urban and more educated than India as a whole; the reported 28.8% holdout rate there should be read with that limitation in mind.
Other conclusions are also tentative. Although the study connects expectations about AI’s effects on jobs with pessimism among some value groups, it does not show that AI caused those views. The paper’s tables do not show significant differences between the groups in populist vote intention. It remains unclear whether the reported patterns will hold in later studies, other countries or different labor-market conditions.
Peer Review and Further Testing
The next step for the paper is further scrutiny and replication. It is currently version one on arXiv; the source material does not give a date for peer review, a journal submission or a revised version. Later research could test whether the survey’s work-value profiles and hypothetical quit thresholds appear in more representative samples and whether people’s stated choices match their behavior when income and employment actually change.
For now, the paper offers an early measurement of how a group of workers in four countries describe the value of their jobs and their willingness to leave under a guaranteed-income scenario. It does not establish how many jobs AI will replace or whether a particular income policy would compensate for work’s social and personal roles. Those questions remain open.
Key Questions
What is the new study about?
The preprint reports a survey of 8,234 working-age adults in four countries. It asks what people value in their jobs and whether they would quit for guaranteed income ranging from 60% to 120% of their current salary, with benefits preserved.
How many respondents said they would stay at 120% of salary?
About one in five said they would not quit at the 120% offer. This was a hypothetical survey response, not a record of actual job decisions.
Does the study show that AI will replace these workers?
No. It measures respondents’ expectations about job replacement. The paper reports that 40% of white-collar respondents and 29% of manual and service workers considered replacement at least somewhat likely within ten years; these are perceptions, not forecasts of actual job losses.
Has the research been peer-reviewed?
No. It was posted as a version-one preprint on arXiv on October 29, 2026, and has not been peer-reviewed. The paper says the survey was supported by Google DeepMind.
Source: ThorstenMeyerAI.com
