🔍 Read the full analysis: When AI Takes The Job, What Might Workers Miss Most? on ThorstenMeyerAI.com
Get hardware and tech essentials delivered free with Prime
- Fast, free delivery on millions of items
- Prime Video, Amazon Music and more included
- Member-only deals all year
TL;DR
A preprint analyzing a 2026 survey of 8,234 working-age adults found that about one in five respondents would not quit even for guaranteed income equal to 120% of their current salary, with benefits retained. The author argues that income may not replace the meaning, community and recognition some people get from work, but the survey measures stated preferences, not actual behavior, and has not been peer-reviewed.
A preprint posted to arXiv on October 29, 2026, reports that about one in five of 8,234 surveyed working-age adults would not leave their job even if offered guaranteed income equal to 120% of their current salary, with health cover, pension and paid leave retained. The study, by Julian Jacobs of the University of Oxford and Google DeepMind, examines whether money could replace the purpose, social ties and recognition some workers associate with employment as artificial intelligence changes jobs.
The survey was conducted online in June and July 2026 by More in Common, with 2,032 respondents in Denmark, 2,072 in India, 2,052 in the United Kingdom and 2,078 in the United States. Respondents were offered a hypothetical guaranteed income starting at 60% of their current salary and increasing in steps of 10 percentage points to 120%, while specified benefits stayed in place. They were asked whether they would voluntarily quit at each level.
Across the four-country sample, a slight majority said they would leave by the time the offer reached 80% of their salary; about three-quarters would leave at 100%. Roughly 20% still said they would not quit at 120%. Among respondents who accepted an offer, the median point at which they said they would quit was 70% of salary. These are answers to a survey scenario, not records of workers actually leaving jobs.
The paper also groups respondents by their stated work values. Of those it could classify, 33% were primarily motivated 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. The author reports that people in the first group required somewhat more guaranteed income to say they would quit than those primarily motivated by pay, though the estimated difference was small and varied by analytical method.
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.
Powered by Thorsten Meyer AI
Income May Not Replace Work’s Other Rewards
The findings bear on debates about how workers might be supported if AI reduces demand for some jobs. The paper’s results suggest that income security may address only part of what employment provides for some people: respondents also named purpose, learning, social connection and recognition as important parts of their work. The author writes that a basic income may be necessary during an AI-related labor shock, but could fail to compensate for those non-financial elements.
That is an interpretation of stated preferences, not evidence that a particular policy will fail or that AI will cause a specific level of job loss. The survey does not track people through job displacement or test how they respond to actual offers. Its contribution is narrower: it asks workers to weigh a guaranteed income against staying employed, and finds that most would accept the hypothetical offer while a substantial minority would not.
The reported differences in income needed to quit were modest. The source estimates that purpose-driven respondents would require roughly 1.9 to 5.8 percentage points more income than pay-driven respondents, depending on the method. At an annual salary of $60,000, the source translates that range to about $1,100 to $3,500 a year. Those estimates should not be read as a forecast of how much employers or governments would need to pay in real-world circumstances.
Products Worth Considering
Logitech MX Keys S Wireless Keyboard, Graphite
Logitech MX Brio Ultra HD 4K Webcam, Graphite
Logitech MX Keypad Programmable Macro Pad, Graphite
As an affiliate, we earn on qualifying purchases.
How the Guaranteed-Income Test Worked
The study, titled What is Work For? Labor, Politics, and Meaning in the Age of AI, is a 39-page, single-author preprint submitted to arXiv in General Economics. It has not been peer-reviewed, and the paper says results could change in later versions. The survey used questions about job priorities, a hypothetical income offer, intended use of free time, perceived AI-related job threats and political attitudes.
The study 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. The source also reports that the share refusing to quit at 120% was similar across income groups: 21% among low-income respondents, 18% among middle-income respondents and 22% among high-income respondents. These figures describe this survey sample and its questions; they do not establish the actual likelihood of job replacement.
The paper says its survey was supported by Google DeepMind, the author’s employer, and that the views expressed do not necessarily reflect those of Oxford or DeepMind. The source notes that the India sample was younger, more urban and more educated than the country’s population overall, a limitation when interpreting country-level results.
“A basic income may indeed be necessary”
— Julian Jacobs, paper author
What the Survey Cannot Establish
The central limitation is that respondents answered a hypothetical question. The results do not show whether people would actually quit when offered guaranteed income, how they would spend their time afterward, or whether preferences would change under real financial and family pressures. The study is cross-sectional, so it cannot establish how views change as AI affects workplaces.
The preprint has not been peer-reviewed. Its author also says the analysis is relational rather than causal, particularly for findings about AI concerns and political attitudes. The source reports that purpose- and community-driven respondents were more pessimistic when they expected AI to harm jobs in their industry, but the groups did not differ significantly in populist vote intention in the paper’s tables. The survey therefore does not establish that AI-related job worries will produce a particular political response.
It also remains unclear how well the results generalize beyond the four countries and the online respondents surveyed. National quotas covered age, gender, education and region, but the source flags the India sample’s demographic differences from the wider population. Later versions of the paper may revise its estimates.
Peer Review and Further Evidence
The next near-term development is whether the author posts a revised version or the study receives peer review. The preprint’s estimates may change, and its conclusions will need to be weighed against further research that tests work preferences across different populations and circumstances.
For now, the paper is best read as evidence about what surveyed adults say they value, rather than a forecast of how many jobs AI will replace or a measure of what workers will do if displaced. Evidence following people through actual changes in employment would be needed to establish whether guaranteed income can compensate for losses of purpose, community or recognition.
Key Questions
What did the survey find about leaving work for guaranteed income?
About three-quarters of respondents said they would leave at an offer equal to 100% of their current salary, with specified benefits retained. Roughly one in five said they would still not quit at 120%. These were hypothetical responses.
Who conducted the research?
The preprint was written by Julian Jacobs of the University of Oxford and Google DeepMind. More in Common conducted the online survey, which the paper says was supported by Google DeepMind.
Does the study show that AI will replace these workers’ jobs?
No. It reports respondents’ views about the likelihood of AI replacing jobs, including 40% of white-collar respondents who saw this as at least somewhat likely within ten years. It does not establish actual future job losses.
Has the paper been peer-reviewed?
No. It was posted as an arXiv preprint on October 29, 2026, and has not been peer-reviewed, according to the source.
Does the research prove that basic income cannot replace work?
No. The author argues that income could fail to replace some non-financial benefits of work, but the survey measures stated preferences in a hypothetical scenario. It does not test a basic-income program or observe what displaced workers do.
Source: ThorstenMeyerAI.com
