Will AI and robots really make money useless? Last updated: 31 July 2026 In our robotics market deck , you will find everything you need to understand the market SUMMARY No, AI and robots are unlikely to make money useless. They could make basic living much cheaper and paid work less necessary, but money will survive wherever land, energy, human attention, ownership and access remain scarce. The idea is no longer just science fiction because two changes are happening together. Generative AI has made useful digital intelligence extremely cheap, while robots have started doing measurable paid work in factories and warehouses. That abundance is real but narrow. A cheap AI answer still depends on expensive chips, data centres, electricity, cooling, fibre and financing, so the visible service can approach zero cost while the underlying system remains highly capital-intensive. AI productivity also looks far stronger at task level than at company or economy level. Controlled studies show large gains in coding, support and marketing, while most executives still report little measurable effect on total employment or firm-wide productivity. Job pressure is arriving unevenly. Junior white-collar hiring appears more exposed than experienced work, which suggests that AI may damage entry routes before it eliminates whole occupations. Humanoid robots have crossed an important line from demonstrations to commercial deployments, but the scale gap is enormous. Hundreds of units and planned factories are not yet evidence that billions of reliable general-purpose robots can be produced economically. Automation will push prices down most sharply for digital and standardized products. Housing, food, healthcare and infrastructure will remain expensive because labor is only one part of their cost. Scarcity will probably move rather than disappear. Prime locations, grid capacity, trusted human attention, rare experiences and social status remain limited even when ordinary goods become plentiful. Ownership may be the decisive issue. Machine output initially belongs to the companies, investors and governments that own the models, data centres and robot fleets, so technical abundance does not automatically become shared abundance. The transition could be rougher than the destination. Wages and job security can weaken faster than tax systems, public services and income guarantees can adapt, making money more urgent for some households before automation makes life cheaper. The most plausible outcome is a two-layer economy: a high-quality baseline of intelligence, education, healthcare, transport and manufactured goods becomes cheap or publicly guaranteed, while money continues to allocate scarce property, premium services, rare experiences and control over productive assets. This market map, featured in our robotics market deck , highlights top companies and startups in the robotics market Why are people seriously talking about money becoming useless now? Yes, the idea deserves a serious look now because cheap AI, mass adoption and early commercial humanoids are arriving at the same time. Elon Musk has pushed the strongest version of the claim. At the World Economic Forum, he described AI and robotics as the route to “abundance for all,” predicted more robots than people and argued that machines could eventually satisfy almost every request humans can think of. More recently, he told The Economist that money could stop mattering within about a decade. That forecast would have sounded almost purely philosophical before generative AI. Today, Stanford’s 2026 AI Index estimates that generative AI reached 53% adoption within three years, faster than the early spread of the internet or personal computers. It also estimates that the value U.S. consumers receive beyond what they pay rose from 172 billion in one year, while many leading tools remained free or close to free. Robotics is moving too, although much more slowly. Figure says its humanoid loaded more than 90,000 parts during 1,250 hours at BMW and contributed to 30,000 vehicles. Agility Robotics says Digit has moved more than 100,000 totes in a commercial warehouse deployment. These are narrow jobs, but they are paid work inside real operations rather than stage demonstrations. So the timing of the question makes sense. Digital intelligence is becoming abundant quickly, and useful physical robots have finally appeared. Treating those early achievements as proof that every form of scarcity is about to vanish would still be a huge leap. What would it actually mean for money to become useless? Money would become useless only if people no longer needed it to obtain scarce things, compare choices or save a claim on future goods. In normal life, money solves three simple problems. It lets us trade without swapping one specific object for another. It gives us a common way to compare the price of a meal, a house and an hour of work. It also lets us save purchasing power for later. AI and robots could weaken the first problem by making many products extremely cheap. They could weaken the second if basic services became universally available. Yet the third remains whenever people want to save for something scarce tomorrow, and all three remain wherever demand exceeds supply. That leaves four very different futures that are often described with the same “post-money” label. Only the last one would truly make money useless. Possible future What changes Does money disappear? AI becomes nearly free Everyone gets cheap digital help No Work becomes optional People receive income without needing a job No Basic living is guaranteed Housing, healthcare, food or transport are provided Money matters less for survival Scarcity largely disappears Almost every desired good is available to everyone Money may lose most of its role If you want more recent data on this point, please see our latest robotics market report . As this chart shows, and as featured in our robotics market deck , search interest in robot costs has increased significantly Is cheap AI already creating real abundance? Cheap AI is already creating a narrow but meaningful kind of abundance in information, software and creative work. Stanford’s latest AI Index captures the scale of the change. It estimates that 88% of surveyed organizations now use AI somewhere, while 70% use generative AI in at least one business function. Consumer value rose 54% in a year, and the median value reported by users tripled. Millions of people can now get writing help, translations, basic coding, tutoring and image generation at little or no direct cost. This counts as real abundance because digital output can be copied repeatedly. Once a model and its infrastructure exist, serving one more short answer is far easier than building one more house or manufacturing one more car. The expensive part has moved behind the screen. The International Energy Agency says five large technology companies spent more than 48.2 trillion of the country’s 590 billion, close to 1%. That starting point shapes the automation story. When a company replaces paid labor with machines, wages may fall while profits and the value of the machines rise. Workers benefit broadly only when they also own those assets, receive higher wages in complementary jobs, pay lower prices, or gain access through taxes and public services. The IMF’s recent inequality res
Will AI and robots really make money useless?
NewMarketPitch Team