Billionaire investor Mark Cuban went on record in early 2025 with a stark warning that kept circulating well into 2026: seven categories of businesses are headed for extinction within the next decade, and the primary culprit is not some new competitor or market shift – it’s AI adoption failure. Speaking during a discussion at Arizona State University with former US Senator Jeff Flake, Cuban argued that companies ignoring AI today are making the same mistake as businesses that once dismissed personal computers, mobile phones, and the internet. He also took his case to the podcast circuit, speaking candidly on the Pioneers of AI podcast about where the AI economy is headed and who will be left behind.
Mark Cuban is a serial entrepreneur and investor, estimated by Forbes to be worth approximately $5.7 billion. He has committed millions of dollars to the Mark Cuban Foundation’s Intro to AI Bootcamps program, which he founded in 2019 to teach young people about the technology for free. His predictions about AI are not idle punditry – he has skin in the game, with investments across AI startups, Cost Plus Drugs, and countless other ventures that he actively runs using the very tools he’s talking about.
AI, short for artificial intelligence, refers to computer systems that can perform tasks that traditionally required human thinking – things like writing, analyzing information, making decisions, and producing content. Generative AI, the type powering tools like ChatGPT and Sora, can create text, images, audio, and video on demand. These tools are the ones Cuban says are reshaping what it takes to run a business – and which businesses will survive.
What Businesses Does Mark Cuban Say AI Will Replace?
1. Any Business That Refuses to Master AI
Cuban’s broadest warning is that businesses failing to move forward with AI will get left behind, just like companies that didn’t adapt to computers and the internet decades ago. “There’s going to be two types of companies in this world: Those who are great at AI, and everybody else that they put out of business,” he said.
This isn’t just a soundbite. Cuban highlighted concrete examples of how he uses AI at his own companies – such as generating weekly price comparison reports at Cost Plus Drugs in a fraction of the time it would take manually – and emphasized that simply dabbling in AI is no longer enough. The bar isn’t awareness. It’s operational transformation. In an email interview with Fortune, Cuban wrote that in 10 years, “we’ll see more people working for themselves” with the help of AI assistants, which will turn “solo founders into full teams.”
2. Legacy Media Companies
Cuban has been unusually blunt about the media business. In a 2025 interview with Semafor, he called it “the worst industry in the history of industries.” In his view, AI has wiped out many of the barriers that once protected legacy media companies. With AI-powered video, voice, and content tools, creators no longer need studios, distribution deals, or expensive infrastructure to compete. That erodes the competitive moat traditional media companies once relied on.
The implications here are real and already playing out. Cuban argues that AI tools now allow creative people to produce and distribute content without being “dependent on third parties,” and he described the shift’s implications this way: “Now with AI, with the Soras of the world, the ability for somebody creative to not have to be dependent on a third party to create the output is just going to have so many implications.” When the gatekeepers lose their gates, the industry that depended on them faces an existential question about its own purpose. It’s worth noting that this is a structural argument, not just a cyclical one – declining ad revenue and audience fragmentation have been hurting legacy media for years, and AI accelerates all of it.
3. Low-Margin Consumer Brands
Restaurants, fashion labels, and liquor brands fall into a category Cuban views as particularly exposed. These aren’t industries on the edge of vanishing outright, but they’re ones where the risk-reward for workers and investors has turned deeply unfavorable. These are industries where the barrier to entry is low – anyone can start their own brand – resulting in thin margins. When the economy heads south, people in these industries feel the pain early and often. Restaurants face rising labor, rent, and food costs just as customers pull back on discretionary spending.
Cuban’s blunt message for anyone tempted to invest in these sectors: “That is death.” AI compounds the structural problem by lowering the cost of creating new brands and marketing them, which floods already saturated markets with even more competitors, while shrinking the customer pool available to each one. The margins, already razor-thin, get pushed toward zero.
4. Businesses Built on Third-Party Platforms
If your revenue depends on Amazon, Etsy, or another platform you don’t own, Cuban says you’re building on borrowed ground. As he wrote in a 2025 post on X: “When I look at investing in companies, if you have any level of dependency on Amazon, it’s a negative.” The logic is straightforward: a platform can raise its fees, change its algorithm, or start competing with you directly – and you have no recourse.
Platforms can raise their fees and undercut merchants’ profits at any time, and there isn’t much merchants can do about it. An economic recession would decrease overall revenue from these platforms, and the companies that created them may raise their fees to compensate for lower sales volume. That pattern has already been playing out with Etsy ever since the e-commerce platform’s pandemic boom faded. AI also changes the calculus here in a second way: AI-powered tools now make it cheaper to build direct-to-consumer channels, which means the excuse for platform dependency is weakening even as the risks grow.
For readers whose livelihoods are tied to big-platform layoffs and job shifts, this is a pattern already familiar from the corporate world – dependency on any single employer or platform creates vulnerability.
5. Most of Today’s AI Companies
This one surprises people. Cuban isn’t just warning industries that ignore AI – he’s also warning most of the companies building it. On the Pioneers of AI podcast, Cuban said: “You’ve got five, six, whatever it is, companies that are trying to create the ultimate foundational model that we all depend on. It’s almost like in the ’90s when all the search engines were competing pre-Google… There were all these different ones and you didn’t know if it was going to be a winner-take-all, or a top five.” He added: “Now, we know with search engines it’s Google, and then there’s Bing, as like 1 or 2% and DuckDuckGo has got a half a percent. So it’s effectively a winner-take-all.”
In the 1990s, several different search engines emerged to vie for internet users. Within a decade, Google was the undisputed leader, and engines such as AltaVista, WebCrawler, and Ask Jeeves ended up in the wastebin of history. Cuban’s prediction is that the same consolidation is coming to AI. He’s also warning about the infrastructure economics. Cuban cautioned that major AI players “may be overspending,” adding: “If they overspend or get too caught up, the bubble is in the competition between all those models because that could pop just like that with any new technology.” Companies with no sustainable revenue model and high burn rates are the ones most at risk of disappearing when the bubble finds its floor.
6. Businesses That Live on Government Grants and Contracts
This prediction sits at the intersection of AI disruption and macroeconomics. Cuban has gone on record saying a recession is likely in the coming months. If and when that happens, he believes businesses that rely on government grants and contracts will be in big trouble. If tough economic times force governments to rein in spending, nonprofits and businesses closely tied to tax dollars may not survive long enough to enjoy any eventual recovery.
This isn’t hypothetical. Federal budget cuts were already squeezing government-reliant organizations well before any formal recession declaration. Cuban stated that small towns were being disproportionately impacted by “firings, cancelling of grants and contracts with companies, the closing of offices.” According to Reuters, West Virginia receives nearly half of its annual budget from federal dollars, but substantial cuts have already hit food banks and other programs dependent on that flow. Any business whose model assumes a reliable government revenue stream is exposed to a double threat: federal budget tightening and an overall economic slowdown working in the same direction at the same time.
7. Rural and Small-Town Businesses
Cuban has warned that small towns and rural economies could be hit hardest in the next recession. He has described what some have called a “Red Rural Recession,” where federal budget cuts, cancelled grants, and layoffs are already weighing on local economies even before a broader downturn begins.
The mechanism is fairly direct. Businesses operating primarily in rural areas often lack the scale, access to capital, and financial buffers needed to withstand prolonged economic stress. When consumer budgets tighten, discretionary spending falls first, and that impact is magnified in less affluent regions. Industries concentrated in these areas, such as local retail, hospitality, and healthcare services, are often more exposed when economic conditions worsen. AI adds another layer of pressure: it tends to accelerate economic concentration in urban centers where talent, capital, and infrastructure already exist – leaving rural economies even further behind. These towns don’t just lack big businesses; they often lack the broadband, workforce training, and economic diversity to absorb the shock.
Which Industries Are Most at Risk From AI Disruption?
Beyond Cuban’s specific predictions, the broader picture from economic research lines up with what he’s describing. As of 2024, about 42 percent of enterprise-scale companies have actively deployed AI in their businesses, and 92 percent of companies plan to increase their AI investments from 2025 to 2028. That pace of adoption creates winners and losers at a speed that workers and smaller businesses struggle to match.
According to IBM’s analysis of AI and the future of work, some categories of skills will likely decline in demand as AI systems become more capable. Routine information processing tasks such as data entry, basic analysis, and simple content creation are increasingly being automated, and simple research and information synthesis are also vulnerable. These aren’t fringe jobs – they describe enormous portions of white-collar work, media production, and the administrative backbone of small businesses everywhere.
It’s worth noting one important caveat: while Cuban’s framing is urgent and specific, nobody has a crystal ball on exactly which businesses will disappear and which will adapt. Analyst firms note that the timeline and scale of displacement remain genuinely uncertain. Oxford Economics has observed that companies “don’t appear to be replacing workers with AI on a significant scale” yet, suggesting that the high cost of deployment is still a brake on the pace of disruption. Cuban himself has noted this tension – he’s argued simultaneously that AI will be transformative over the next decade and that current deployment costs are a real-world check on how fast that happens. His predictions describe a direction of travel, not a precise arrival date.
What Did Mark Cuban Predict About the Future of AI?
Cuban’s predictions about AI as a whole go beyond just which businesses are at risk. He sees the technology as a fundamental sorting mechanism that will divide every industry into those who used it well and those who didn’t. He wrote: “AI is a multiplier. Use it, but don’t be used by it.” That line captures his broader philosophy – AI isn’t inherently destructive, but companies and workers who treat it as optional will find themselves outcompeted by those who embraced it early.
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Cuban has also addressed concerns about AI displacing jobs directly, arguing that while there will be disruption, critical thinkers and those who learn to effectively leverage AI tools will continue to be in high demand. He’s not a technological determinist – he doesn’t believe AI makes humans irrelevant. He believes it makes the underprepared irrelevant, which is a meaningfully different claim.
Cuban’s comments echo a talk he gave at the 2017 SXSW Conference in Austin, Texas, where he asserted that the world’s first trillionaire would be an AI entrepreneur. Whether that prediction ages well or not, it speaks to the scale at which he thinks about AI’s economic gravity. The technology isn’t just reshaping jobs – in his view, it’s reshaping who controls wealth itself.
What This Means for You
If you work in one of these seven categories, Cuban’s predictions aren’t a reason to panic – but they are a reason to plan. The businesses most likely to survive in AI-disrupted markets share a few traits: they own their customer relationships directly, they’re not structurally dependent on any single platform or government contract, and they’ve actively integrated AI into their workflows rather than treating it as a side project.
The practical steps are straightforward, even if they take time. Build a direct channel to your customers – email list, owned website, or direct service relationships – so you’re not one algorithm change away from irrelevance. If you’re in media, content, or consulting, start using AI tools in your workflow now, because the people who understand these tools from the inside will be the ones who thrive when the consolidation Cuban is predicting actually arrives. And if your income depends on a government grant or a rural economy, start building a financial cushion and revenue diversification before the pressure gets worse. Cuban’s warning about the future of business AI isn’t a prediction you can afford to file away.
A.I. Disclaimer: This article was created with AI assistance and edited by a human for accuracy and clarity.
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