Larry Ellison Says AI Taxes Could Fund Universal High Income

Taxing robots instead of human labor

Ellison's model relies on shifting the tax burden entirely away from workers to the value created by automated machinery.

Speaking during the closing keynote at Oracle AI World, Ellison rejected warnings that automation will permanently impoverish the workforce. Instead, he argued that combining robotics with advanced software will drastically slash the production costs of basic necessities.

To illustrate the concept, Ellison pointed to home construction. If human labor represents 80% of the cost of building a house, turning that work over to construction robots immediately eliminates four-fifths of the expense. The key to turning those corporate savings into widespread prosperity lies in modernizing fiscal policy.

"We need to change from taxing human labor to taxing value added," Ellison said. "So when the robots add value, all that value that the robots add is taxed, and we could have universal high income."

Upgrading basic income to a dividend of abundance

The proposal takes standard universal basic income (UBI)—traditionally designed as a modest floor to keep displaced citizens out of destitution—and expands it into an abundance dividend. Ellison cited economist Milton Friedman's negative income tax model, describing a modern reverse income tax where machine productivity funds a genuinely comfortable lifestyle for people working fewer hours.

Ellison dismissed doomsday scenarios claiming software will make human workers completely obsolete. While he conceded that autonomous fleets will displace drivers, he pointed to aviation as a blueprint for the future of employment: decades after autopilots became standard, human captains still sit in the cockpit to oversee operations. In his view, knowledge workers will increasingly pivot into supervisory roles managing autonomous systems.

That corporate optimism contrasts sharply with the mood inside enterprise ranks. Recent data shows that worker engagement has cratered amid automation anxiety, and actual bottom-line efficiency often lags behind executive claims, with only 3% of companies hitting AI productivity targets.

The ten-year political hurdle

The catch in Ellison's vision is that it requires governments to overhaul how they collect revenue, an undertaking he admitted will take more than a decade. Today's public budgets across North America and Europe rely heavily on payroll and worker income taxes. Reworking statutory tax systems to capture automated productivity without stifling investment is a political minefield that legislators have barely begun to debate.

There is also the awkward reality of the present tech sector. Tech layoffs have topped 135,000 industry-wide so far this year, with Oracle alone trimming around 21,000 staff between mid-2025 and mid-2026. For people facing pink slips right now, a theoretical wealth payout decades away does little to pay the rent.

What it means for you

For residents across the US, UK, and European Union, a universal high income remains purely hypothetical. No major western government has tabled draft legislation to replace human payroll taxes with an autonomous robot levy, let alone fund high-income universal disbursements.

In the near term, corporate automation programs are far more likely to manifest as selective workforce restructuring and supervisory role transitions rather than direct state-issued checks.

Ellison's argument offers a hopeful departure from standard tech industry pessimism, but its success rests on public institutions moving fast to rewrite tax codes. Until tax authorities can define and capture machine labor, the gap between corporate automation gains and household budgets will remain wide open.