Elon Musk predicts AI will create an age of abundance where money becomes irrelevant by 2036

Elon Musk's Bold Vision for the Future of Humanity and AI

Elon Musk has made his most explicit prediction yet about how AI will reshape civilization. In a wide-ranging interview with The Economist editor-in-chief Zanny Minton Beddoes at his Texas Gigafactory, Musk declared that money won't matter in 2036 because AI and robotics will generate more goods and services than any person could consume2

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. His logic centers on a simple premise: if robots and AI produce everything humans need, currency loses its purpose as a medium of exchange3

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. The Tesla CEO went further, predicting that AI may exceed the sum of human intelligence in around five years, leading to what he calls an age of abundance where anyone can have anything they can think of5

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From Existential Risks to Optimistic Acceptance

Musk's current optimism marks a striking evolution from his earlier warnings about AI. The billionaire who once compared building AI to "summoning the demon" and called it "far more dangerous than nukes" has shifted his public stance4

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. As recently as March 2025, he estimated the probability of killer robots annihilating humanity at between 10% and 20%. Yet in The Economist interview, Musk acknowledged he's made peace with pressing ahead, stating he can't see any way to stop the incredible momentum of AI and robots4

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. His philosophical conclusion is to look on the bright side, betting that the most likely outcome is incredible abundance for all, even as he admits humans will no longer be in charge of the world in 10 years.

Critics Dismiss the Age of Abundance as an AI Pipe Dream

The prediction sparked immediate backlash from skeptics who view Musk's vision as fundamentally disconnected from economic reality. TechRadar published a scathing response arguing that AI is a disruptor, not a savior, and cannot transform the fundamentals of resources and energy1

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. Critics point out that with 1 in 7 people worldwide living in poverty, Musk's promise ignores basic laws of economics and physics. The article notes that AI actually consumes vast quantities of electricity and water, potentially making these resources more scarce and expensive rather than abundant. Economists including Tyler Cowen and Noah Smith argue that even if manufactured goods become cheap, scarcity simply shifts to other domains like desirable locations, university slots, and status goods—none of which AI can replicate3

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Vinod Khosla's Crucial Warning About Dystopian Outcomes

Vinod Khosla, the veteran Silicon Valley investor and Khosla Ventures founder, offered a more nuanced response that neither endorsed nor dismissed Musk's timeline. Khosla posted on X that money won't matter in 2036 "only if the politics permits this great abundance," linking to his 2024 essay "AI: Dystopia or Utopia?"2

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. His essay warns that AI could create a world where a small elite thrives while the rest face economic instability, especially in a democracy that drifts without active policy intervention. Khosla has been predicting this bifurcation since 2014, when he warned AI would drive unprecedented abundance alongside a massive gap between rich and poor. His proposed solution involves universal basic income to ensure people can live well even as job displacement accelerates across healthcare, law, retail, and other sectors.

The Political and Economic Obstacles to AI-Driven Abundance

Beddoes challenged Musk during the interview on the political path between now and 2036, pointing out that job losses from AI tend to arrive before any abundance materializes3

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. Workers who lose their jobs to machines put immediate pressure on governments, typically leading to protectionist policies rather than acceleration of disruption. She warned the political backlash could include demands for nationalization of AI companies, higher taxes on tech profits, and regulatory interventions that slow the buildout Musk envisions. The International Monetary Fund estimates around 40% of jobs worldwide are exposed to AI disruption, rising to 60% in advanced economies, while Goldman Sachs says 300 million full-time jobs globally are at risk5

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. Musk acknowledged the transition would be bumpy and flagged income transfers as the next major policy fight, though he didn't specify who would fund those transfers.

Who Owns the Robots Determines Who Benefits

The fundamental question underlying the abundance debate centers on ownership and distribution. Critics note that Nvidia, Microsoft, and Meta are spending hundreds of billions of dollars building AI infrastructure, and none plan to give the output away3

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. Australian futurologist Professor Rocky Scopelliti argues the future of work is becoming a governance problem rather than a labor problem, stating that automation can create extraordinary abundance but doesn't automatically create fairness5

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. The defining economic question won't be whether AI replaces workers, but who owns the robots, the data, and the intelligence. Musk himself has financial stakes in this outcome through Tesla's Optimus humanoid robots, xAI, and his newly public SpaceX venture valued at $1.77 trillion—all priced in the very dollars he predicts will lose relevance3

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What AI Surpasses Human Intelligence Means for Control

Musk's prediction that AI may exceed the sum of all human intelligence within five years raises questions about control and AI safety that his optimistic framing doesn't fully address4

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. He told The Economist there really won't be anything AI won't be able to do better than humans, apart from being human, and predicted there could be at least 100 million humanoid robots, possibly reaching one billion5

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. His shift from AI safety advocate to abundance optimist matters because the AI safety community spent years trying to get powerful technologists to take existential risks seriously, and Musk was one of the few with genuine influence who seemed to agree. Now he's saying the risk is real but the abundance case is stronger, and he's not pressing stop. As Musk himself acknowledged, it's called singularity for a reason—he doesn't know what happens after the event horizon.