The rapid acceleration of artificial intelligence has sparked widespread anxiety about the future of employment, with critics continuously warning of mass displacement.
However, veteran tech leaders frame this transition differently. They see it not as a joblessness crisis, but as an opportunity. Larry Ellison recently presented an optimistic counter-narrative. He spoke to industry professionals at Oracle AI World in Las Vegas.
Ellison argued that advanced robotics will generate immense wealth for society. We shouldn’t fight intelligent machines out of fear.
Instead, we must overhaul our financial and taxation systems. This ensures we distribute AI’s productivity gains fairly. It will fundamentally change how we view work and economic compensation.
Automating Production and the Cost of Living
While the fear that artificial intelligence will eventually replace all human workers continues to dominate headlines, Ellison dismissed such absolute predictions as entirely nonsensical.
Instead, he painted a pragmatic picture of a hybrid future where automation displaces certain roles such as traditional rideshare driving while simultaneously elevating human capabilities in other critical sectors.
When looking at complex fields like medicine and aviation, robotic surgeons and advanced aircraft autopilot systems serve as prime examples of how intelligent tools allow professionals to accomplish significantly more with greater precision.
According to a detailed report on his remarks at Times of India, the most profound impact of this technological shift will be felt in the plummeting cost of essential goods and services. Ellison illustrated this by describing the construction of a hypothetical house.
Human labor currently accounts for eighty percent of a home’s cost. Handing those processes to a robotic workforce would drastically reduce the price tag. Replacing human effort with mechanical efficiency will drive down living costs. It makes high-quality goods accessible to a broader demographic.
Funding a Universal High Income Through Taxation
Ellison’s economic philosophy is based on a fundamental shift in how governments collect revenue. Today, most economies rely heavily on taxing human labor through personal income taxes. However, as machines take over more tasks, he believes governments must shift their focus toward taxing the economic value created by automation.
Under this approach, governments could tax the productivity and output of commercial robots. The revenue could then help fund what Ellison calls a universal high income.
Unlike universal basic income (UBI), which typically aims to cover essential living costs, this model would use AI-generated wealth to improve living standards for everyone.
Ellison also drew parallels with economist Milton Friedman’s concept of a negative income tax. Under this system, people earning below a certain income threshold receive financial support from the government.
Although Ellison did not provide specific details about corporate tax rates or eligibility requirements, his proposal offers a broader direction for future policymakers. He believes the transition from taxing human labor to taxing machine-generated value will take time.
According to Ellison, this shift could unfold gradually over the next decade or longer. During this period, robots are expected to take over tedious, dangerous, and undesirable tasks that many people would prefer to avoid.
