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TL;DR
At Oracle AI World on Oct. 27, Larry Ellison said taxing value added by robots could fund “universal high income,” while acknowledging the idea would take more than a decade. South Korea is already testing monthly payments in rural counties, but evidence from income trials and the scale of potential costs leave open whether broad payments could offset AI-driven wealth shifts.
Oracle co-founder Larry Ellison said on Oct. 27 that taxing value added by robots could help fund “universal high income,” putting a new tax proposal into a debate sharpened by AI-driven changes to work and wealth. The idea remains a personal proposal, not an Oracle policy or an enacted plan; a separate South Korean rural income pilot is already paying eligible residents, offering a limited real-world test of regular public transfers.
Speaking during a question-and-answer session at Oracle AI World in Las Vegas, Ellison argued that predictions AI will replace everyone are “kind of nonsensical.” He said some occupations, including taxi and ride-share driving, could be replaced, while other jobs would remain. He compared the situation to autopilot systems, which have been used in aviation for decades alongside human pilots.
Ellison’s proposed funding principle was to move “from taxing human labor to taxing value added.” He said taxing value created by robots could support “universal high income,” and added that such a change would take more than a decade. The source account says the remarks were reported by TechRadar, Diginomica and Business Standard because Oracle’s replay was behind an account login. Diginomica described the idea as separate from Oracle strategy and disclosed that Oracle is its partner.
South Korea’s agriculture ministry began its rural basic income pilot in February 2026. The program provides eligible residents of participating counties with 150,000 won a month—about $112, using Yonhap’s conversion—in local gift vouchers. In 2026, the national government funds 40% of the cost, the province 30% and the county 30%. The pilot is scheduled to continue through 2027.
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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Who Would Capture AI’s Gains?
The central issue is not only whether AI reduces the need for some kinds of labor, but who owns the systems that raise productivity and how the resulting income is distributed. If gains accrue mainly to the owners of automated businesses and equipment, workers whose bargaining power or earnings decline may not share equally in those gains. Ellison’s suggestion puts tax policy at the heart of that distribution question.
But a proposal to tax “value added” does not by itself specify a tax rate, what activity would be covered, how revenue would be divided, or who would qualify for payments. A tax that raises substantial revenue could also affect investment, prices and the location of business activity. Those outcomes depend on policy design and economic conditions, not simply on the presence of robots.
The trials cited in the source material also caution against treating transfers as either a guaranteed replacement for jobs or a reason people stop working. In a US OpenResearch study, recipients given $1,000 a month had earnings about $1,900 lower per year and worked one to two fewer hours a week. Employment in Finland barely moved, while participants in Kenya shifted some activity from wage work to their own businesses. These findings describe different programs and settings; they do not establish how a nationwide payment funded by AI-related taxes would work.
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A Rural Pilot, Not a National Test
South Korea’s program targets population-loss counties, rather than people selected by income or employment status. The source account says eligible Korean citizens must have been registered and actually living in a pilot county for at least 30 days before applying. There is no means test or job requirement. People who work or study elsewhere must live in the county at least three days a week. Payments are made as local gift vouchers, so the program is not equivalent to an unrestricted national cash benefit.
In 2026, the pilot covers residents in 17 of the 69 counties the government lists as losing population. For 2027, the agriculture ministry has proposed changing the funding split to 50% national, 25% provincial and 25% county, and adding about 18 counties. Those changes are proposals subject to a parliamentary budget vote, not confirmed program expansions.
Ellison’s concept also echoes earlier policy arguments. Milton Friedman proposed a negative income tax, under which payments to people below an income threshold fall as earnings rise. The source account notes that Sam Altman’s 2021 essay “Moore’s Law for Everything” similarly argued for taxing capital and land. A value-added tax itself is not a new tax instrument: OECD countries use VAT systems, while the United States relies mainly on state and local retail sales taxes rather than a federal VAT. The unresolved question is how large a tax base could be raised from AI-related activity and how it would be defined.
“We need to change from taxing human labor to taxing value added.”
— Larry Ellison, speaking at Oracle AI World on Oct. 27, as quoted by TechRadar and Diginomica
Costs, Coverage and Tax Design
No detailed funding plan accompanied Ellison’s remarks. The source material does not specify which AI-related activities would be taxed, how revenue would be measured, what payment amount would be promised, or whether payments would go to every person or only to people below an income threshold. Ellison’s use of “universal high income” therefore remains a broad description rather than a costed policy proposal.
The scale could be substantial. The source account estimates that $1,000 a month for every US adult would cost about $3.1 trillion annually, compared with $5.40 trillion in federal receipts in fiscal 2026. That is the author’s calculation, not an official estimate of Ellison’s proposal, and it does not account for possible tax revenue, changes to existing benefits or other design choices. An International Labour Organization research brief cited in the source warns that extra purchasing power could raise prices in sectors where supply does not expand, including housing and care.
South Korea’s pilot cannot answer how a national AI-funded transfer would perform. It is geographically limited, paid in local vouchers and aimed at rural population decline. The available source material also does not establish the pilot’s effects on employment, local prices or long-term migration. The proposed expansion and revised funding shares for 2027 remain subject to a budget vote.
Budget Vote and Better Evidence
The next immediate decision for South Korea is whether parliament approves the agriculture ministry’s proposed 2027 pilot budget, including the suggested funding split and possible addition of about 18 counties. Until that vote, those changes should be treated as proposals. The pilot is scheduled to run through 2027, giving officials time to report on participation and local outcomes, though the source material does not specify when a full evaluation will be released.
For Ellison’s proposal, the next step would be a more concrete policy design: defining what counts as value added by automation, estimating revenue, setting payment eligibility and testing how the tax might affect investment and prices. No government plan or Oracle commitment is identified in the source account. Further evidence from existing cash-transfer trials can inform parts of the debate, but those studies do not directly test a universal payment funded by taxes on AI or robots.
Key Questions
Did Oracle announce a universal high-income policy?
No. Ellison described a personal policy idea at Oracle AI World. The source account says the proposal is not an Oracle strategy, and it does not identify any enacted government plan.
What did Ellison mean by taxing value added?
He proposed taxing value created by robots and using the revenue to support public payments. He did not set out a tax rate, tax base or payment formula, so the proposal remains general.
How does South Korea’s rural basic income pilot work?
Eligible residents in participating rural counties receive 150,000 won per month in local gift vouchers. The pilot began in February 2026 and is scheduled to run through 2027; the proposed 2027 expansion still requires a parliamentary budget vote.
Do cash-transfer trials show that people stop working?
No single result applies across all programs. The source account reports lower earnings and a small reduction in weekly work in a US study, little employment change in Finland, and a shift toward self-employment in Kenya. Those findings do not directly predict the effects of a nationwide AI-funded payment.
How much would a $1,000 monthly payment cost in the United States?
The source author estimates about $3.1 trillion a year for every US adult. That is a rough calculation for a hypothetical payment, not an official estimate of Ellison’s proposal, which has no specified eligibility rules or funding plan.
Source: ThorstenMeyerAI.com
