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TL;DR
Oracle co-founder Larry Ellison said AI-generated value could be taxed to fund “universal high income,” but he described the idea as more than a decade away, not as an Oracle plan. South Korea is already testing a limited rural cash payment, while studies in the United States, Finland and Kenya show varied effects on work; how to fund a much larger program remains unresolved.
Oracle co-founder Larry Ellison said on October 27 that taxing the value created by robots could help pay for what he called “universal high income”, a proposal he said would take more than a decade to develop. The comment is a policy idea, not an Oracle program or a funded government plan; a separate South Korean rural pilot is testing monthly payments now, but at a limited scale.
Ellison made the remarks during a closing keynote at Oracle AI World in Las Vegas, in a question-and-answer session with Seema Verma, who leads Oracle Health and Life Sciences. In accounts of the discussion published by TechRadar, Diginomica and Business Standard, he argued that predictions of AI replacing everyone were “kind of nonsensical,” while acknowledging that some roles, including taxi and ride-share driving, could be displaced. Oracle’s replay is behind an account login, and the published reports differ slightly in their wording around his central point.
Ellison’s proposed funding mechanism was to shift taxation away from human labor and toward value added by machines. He used a robot-built house to illustrate how automation might lower production costs, and referred to economist Milton Friedman’s negative income tax as a precedent for income support. He also said the change would take “more than a decade.” Diginomica reported that the robot-tax idea was not an Oracle strategy and disclosed that Oracle is a partner of the publication.
South Korea’s Ministry of Agriculture, Food and Rural Affairs began its rural basic income pilot in February 2026. Eligible residents in participating counties receive 150,000 won a month, about $112 according to Yonhap’s conversion, in local gift vouchers. The program is scheduled to operate through 2027. In 2026, funding is split among the national government, the province and the county at 40%, 30% and 30%, respectively. A ministry proposal for 2027 would change the shares to 50%, 25% and 25% and add about 18 counties, but that expansion depends on parliament’s budget decision.
Infographic 01 · Two ideas of a basic income
A promise for the future, a test running now
What Oracle’s co-founder proposed on stage, and how South Korea’s rural basic income actually works and who funds it.
The promise
Larry Ellison, Oracle AI World, Las Vegas, 27 Oct 2026 (as reported)
- Robots build a house: if labor was 80% of the cost, the house gets 80% cheaper
- Change from taxing human labor to taxing value added
- Tax what robots add, fund a “universal high income”
- AI replacing everyone is “kind of nonsensical”
- No amounts, no costing, “more than a decade”
“We need to change from taxing human labor to taxing value added.”Larry Ellison, as quoted by TechRadar, Diginomica and Business Standard
The test
South Korea’s rural basic income pilot, 2026–2027
- Every citizen registered and living in a pilot county for 30+ days
- No means test, no job requirement; newcomers wait 90 days
- Paid as a local gift voucher (card or phone), not cash
- Expires after 3 months (towns) or 6 months (townships)
- Max ₩50,000 at gas stations, convenience stores, co-op supermarkets
- 10 counties from February, 7 more from 28 August; about 18 more planned for 2027
Who pays in 2026
Share of the ₩150,000 base payment
Proposed for 2027
Ministry’s budget proposal; parliament decides
Some counties add their own money: Gurye, Boseong and Cheongsong pay ₩200,000, Boeun ₩160,000 (ministry, 25 Aug). The ministry puts the total cost of the 2026–27 pilot at about ₩3.09 trillion.
Sources: TechRadar, 30 Oct · Diginomica, 27 Oct · Business Standard, 28 Oct · Ministry of Agriculture, Food and Rural Affairs: MAFRA, 10 Feb, 11 Jun, 25 Aug, 8 Oct 2026.
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The Funding Question Behind AI Income
The central issue is not simply whether AI can increase productivity. It is who owns the systems that produce the value, how governments can tax that value, and whether revenue can be distributed without shifting too much of the cost onto workers or consumers. Ellison’s suggestion puts those questions in public view, but does not specify a tax rate, a definition of taxable robot-generated value, or a payment level.
Existing income-support experiments offer some evidence about how recipients respond to cash, but they do not establish what would happen under a permanent, nationwide program funded by AI-related taxes. The source material reports that a U.S. OpenResearch study providing $1,000 a month reduced recipients’ annual earnings by about $1,900 and their work by one to two hours a week. Finland’s trial saw little change in employment, while a Kenya study found participants shifted some activity from wage work to their own businesses. These results concern distinct programs and settings, not a direct test of Ellison’s proposal.
Scale is another constraint. The source estimates that paying $1,000 a month to every U.S. adult would cost about $3.1 trillion annually, compared with $5.40 trillion in federal receipts in fiscal 2026. That is an estimate supplied by the source, not a government cost estimate for Ellison’s plan. An International Labour Organization research brief cited in the source also warns that added cash could raise prices in areas where supply does not expand, including housing and care.
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From Robot Tax to Rural Pilot
Ellison’s remarks echo earlier proposals to tax automation or distribute income from technology-driven wealth. TechRadar has noted that Elon Musk has also advocated forms of broad income support, while Sam Altman’s 2021 essay, “Moore’s Law for Everything,” argued for taxing capital and land rather than labor. Those proposals differ in design; none, based on the material provided, amounts to an enacted universal payment tied to AI output.
A value-added tax is not itself a new invention. It is generally charged as value is added through production and sale. The OECD says the United States is the only OECD country that relies on state and local retail sales taxes rather than a national VAT as its main consumption tax. Ellison’s proposal is unusual in the scale and purpose he suggests: using taxes on automated production to support broad income payments.
South Korea’s pilot is more bounded. The agriculture ministry says it covers eligible residents in selected rural counties facing population decline. The source describes eligibility as based on Korean citizenship and actual residence in a pilot county for at least 30 days before applying, without a means test or job requirement. It also says people who work or study elsewhere must live in the county at least three days a week. The pilot tests a local payment and its administration; it is not a national AI dividend.
““We need to change from taxing human labor to taxing value added.””
— Larry Ellison, as quoted in reporting by TechRadar, Diginomica and Business Standard
What the Proposal Leaves Open
Ellison did not set out how a robot or value-added tax would work in practice, who would collect it, what activities would count as automation-generated value, or how revenue would be divided among recipients. No costed plan, legislative proposal or implementation schedule is included in the source material. His remarks also do not establish that AI will generate enough taxable revenue to fund a universal payment.
The South Korean program’s longer-term effects are still developing. The source gives its payment and funding structure, but does not provide outcome data on household finances, employment, population trends or local prices. The proposed 2027 expansion and revised funding split remain subject to a parliamentary budget vote. Evidence from cash-transfer studies can inform debate, but differences in payment size, duration and location limit direct comparisons with a permanent national program.
Budget Votes and Better Evidence
The next near-term decision in the source is South Korea’s parliament vote on the 2027 budget, which will determine whether the proposed funding split and expansion to additional counties proceed. Results from the pilot may help officials evaluate how locally restricted payments work, though the source does not give a date for a final evaluation.
For Ellison’s idea, the next step would be a concrete policy proposal: a defined tax base and rate, a revenue estimate, and rules for setting and paying benefits. Until those details exist, “universal high income” remains a vision rather than a program. The broader debate will turn on evidence about AI’s effect on jobs and productivity, the distribution of ownership, and whether tax revenue can keep pace with the cost of payments.
Key Questions
Did Oracle announce a universal high-income program?
No. Ellison described a policy idea during an Oracle AI World session, and Diginomica said the robot-tax proposal was not an Oracle strategy. The source reports no Oracle program or government plan based on his remarks.
What did Ellison mean by taxing value added?
He proposed shifting some taxation from human labor toward the value produced by robots and other automated systems. He did not specify the tax design, rate or expected revenue.
Who receives payments in South Korea’s pilot?
The source says eligible residents of selected rural pilot counties receive 150,000 won a month in local gift vouchers. Eligibility includes a residence requirement; the payment is not described as a national benefit.
Do cash-transfer studies show people stop working?
The studies summarized in the source show different effects across settings, not a single result. A U.S. study found modest reductions in work and earnings, Finland saw little employment change, and a Kenya study reported movement toward self-employment.
When could universal high income begin?
There is no start date or implementation plan in the source. Ellison said the idea would take more than a decade to come about.
Source: ThorstenMeyerAI.com
