What Does Work Give Us? 8,234 Workers Answer As AI Advances
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TL;DR

A preprint analyzing a survey of 8,234 working-age adults in four countries found that about one in five respondents would not quit even for guaranteed income equal to 120% of current salary, with benefits preserved. The author argues that income may not replace work’s sources of purpose, community and recognition, but the results are based on stated responses, not observed behavior, and the paper has not been peer-reviewed.

A survey of 8,234 working-age adults in the United Kingdom, United States, Denmark and India found that about one in five would not leave a job even for guaranteed income equal to 120% of current salary, with health coverage, pension and paid leave retained. The result 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 paper, “What is Work For? Labor, Politics, and Meaning in the Age of AI,” is based on an online survey fielded in June and July 2026 by the 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 quit. The scenario also preserved healthcare, pension and paid leave.

According to the paper, a slight majority would leave at 80% of salary, about three in four would leave at 100%, and roughly 20% would still stay at 120%. Among those who accepted an offer, the median threshold was 70% of salary and the average was 76%. These are answers to a hypothetical question, not records of people actually leaving work.

The author grouped respondents by their stated work values. Among those the paper 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 paper’s figure reports that 73.7% placed a non-financial reason first. The reported share motivated mainly by the work itself was similar across household-income groups, at 32% for lower-income, 33% for middle-income and 34% for higher-income respondents.

At a glance
reportWhen: Preprint posted October 29, 2026; surve…
The developmentA new arXiv preprint reports survey responses about work’s meaning and willingness to leave a job for guaranteed income as AI raises concerns about employment.
Thorsten Meyer AI
Survey · 4 countries

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.

Intrinsic33%

The work itself: purpose, learning, contributing to society.

Transactional26%

Pay and benefits come first.

Community23%

Belonging, colleagues, meeting people.

Status-driven17%

Recognition and prestige.

Pay-first share, by country

Share of classified workers whose top value is pay and benefits

  • United States38%
  • United Kingdom32%
  • Denmark19%
  • Indiaonline sample, skews urban and educated15%

Meaning is not a luxury

Share driven by the work itself (intrinsic), by household income third

  • Low income32%
  • Middle income33%
  • High income34%

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 Income May Not Replace Work

The findings speak to a live policy and workplace question: if automation reduces demand for some kinds of labor, would replacing wages with income support compensate people for what they lose? Jacobs argues that a basic income may be necessary during an AI-related labor shock but could fail to replace work’s non-financial benefits. That is the author’s interpretation of survey responses, rather than a measured outcome of an income-support program.

The distinction matters for employers and policymakers. If people value purpose, social connection and recognition as well as earnings, changes to jobs may affect more than household budgets. The survey does not establish how those effects would play out in workplaces or communities, but it suggests that income alone may not capture all the reasons some people choose to work.

The size of the reported differences also calls for proportion. After statistical controls, purpose-driven respondents asked for about 1.9 to 5.8 percentage points more guaranteed income to quit than respondents primarily motivated by pay, depending on the model. The paper translates that range to about $1,100 to $3,500 annually for a person earning $60,000. These are modest differences in the paper’s analysis, not evidence that purpose-driven workers would refuse all compensation or that income support has no value.

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How the Survey Tested Work Values

The study combines questions about job priorities with a hypothetical “auction” in which respondents considered progressively larger guaranteed payments in exchange for leaving work. It also asked how people would spend their time and about their views of AI-related job risks and politics. The analysis uses cross-sectional regression models with controls including income, occupation, age, gender, education, part-time work and country.

The sample included 2,032 respondents in Denmark, 2,072 in India, 2,052 in the UK and 2,078 in the US. The survey used national quotas for age, gender, education and region. The paper 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 respondents’ expectations; they are not forecasts of actual job losses.

The paper was posted to arXiv on October 29, 2026, as a 39-page, single-author preprint in general economics. Jacobs is affiliated with Oxford and Google DeepMind. The paper says the survey was supported by Google DeepMind and that its views do not necessarily reflect those of Oxford or DeepMind. It had not been peer-reviewed at the time described in the source material.

“A basic income “may indeed be necessary” in an AI labor shock, but “could ultimately fail to compensate workers” for what work provides beyond money.”

— Julian Jacobs, author of the preprint

Limits of the Preprint Evidence

The paper is a preprint that has not been peer-reviewed, and the source material says later versions could change its numbers. Its central quitting measure is hypothetical: stated willingness to leave under a guaranteed-income offer may differ from what people do when faced with an actual job change. The survey also does not test whether basic income or other policies can replace the social and personal benefits respondents associate with work.

The results rely on an online sample with national quotas, not a direct measure of every working-age adult in each country. The author notes that the Indian sample was younger, more urban and more highly educated than India’s population overall, which may affect comparisons across countries. The supplied account also says the paper found no statistically significant differences among work-value groups in populist vote intention, and cautions that its analysis cannot establish cause and effect. How AI will affect jobs, and how workers would respond in practice, remains unknown.

Peer Review and Later Versions

The next evidence point is whether the preprint receives peer review or is revised, and whether later versions change the survey analysis or its conclusions. Readers can also look for further research that tests work values against actual employment decisions, rather than hypothetical offers, and evaluates how income support affects people whose jobs change or disappear.

For now, the paper offers a snapshot of what respondents say they value and fear, not a forecast of AI-driven job displacement or a policy evaluation. Any claims about real-world effects should be judged against further data, especially evidence that follows workers over time and represents the populations being compared.

Key Questions

What did the survey find about quitting for guaranteed income?

The preprint reports that a slight majority would quit at guaranteed income equal to 80% of current salary, about three in four at 100%, and roughly one in five would still stay at 120%, with health coverage, pension and paid leave preserved.

Does the survey show that people actually left their jobs?

No. It measured answers to a hypothetical offer. The paper does not report observed job departures in response to guaranteed income.

What reasons for working did respondents name?

The paper grouped responses around the work itself, including purpose and learning; colleagues and belonging; status and recognition; and pay and benefits. Among classifiable respondents, 33% were primarily motivated by the work itself.

Has the paper been peer-reviewed?

No. The source describes it as an arXiv preprint posted October 29, 2026, and says it had not been peer-reviewed. Its results and conclusions may change in later versions.

Does the study prove AI will replace workers?

No. It reports respondents’ expectations about AI and jobs, including that 40% of white-collar respondents considered replacement at least somewhat likely within ten years. Those responses are not a prediction of actual job losses.

Source: ThorstenMeyerAI.com

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