Mark Cuban’s Non-Negotiable Rule for AI Companies - And Most of Them Are Already Breaking It

Mark Cuban believes the country's largest artificial intelligence companies are making an expensive mistake: They're selling the promise of AI while largely ignoring the people worried about losing their livelihoods to it.

That disconnect matters to anyone trying to build real wealth. A technology that changes hiring, wages, and local economies could affect far more than today's tech workers. It may eventually touch household budgets, retirement plans, and the communities where people live.

Here's what Cuban argued and why he thinks overlooking workers could undermine the AI industry's own expansion.

Cuban says AI companies already lost the public-relations fight

In a June 25 post on X, Cuban said the major companies developing large language models have "lost the PR battle" because they have failed at "putting people first."

His criticism was not that companies should explain AI more clearly. In his view, that opportunity has passed. Workers understand that the technology may threaten jobs, and another polished presentation about AI's benefits is unlikely to quiet those fears.

His warning is not an argument against AI

Cuban remains optimistic about the technology. He said he believes AI could produce net job gains within a few years.

However, that long-term outlook does little for someone whose job disappears this month. Cuban's position is that companies cannot celebrate jobs that might eventually exist while offering little help to people being displaced now. That distinction keeps his argument from becoming either blanket optimism or a prediction of permanent mass unemployment.

AI is now the leading reason companies cite for job cuts

The latest Challenger, Gray & Christmas report lends urgency to Cuban's warning. AI was employers' leading cited reason for announced job cuts for the fifth consecutive month in July.

Through July, employers attributed 112,713 planned cuts to AI, representing about 24% of all announced cuts in 2026. However, the numbers measure employers' stated reasons and do not independently prove that AI caused every position to disappear.

May showed how quickly the numbers had climbed

The change was particularly striking in May. Employers attributed 38,579 of 97,006 announced cuts (about 40%) to AI, according to Challenger's May report. That was up from just 7% in January.

The total fell afterward, but AI remained the leading cited reason in June and July. In other words, the May spike did not vanish from the broader employment story.

Major companies are openly connecting reductions to AI

Several well-known employers have discussed AI while announcing substantial workforce reductions:

• Snap cut around 1,000 jobs, or 16% of its workforce, while pointing to AI-enabled efficiency.
• Cisco announced fewer than 4,000 cuts while shifting investment toward areas including AI.
• Coinbase eliminated about 700 jobs as it pursued smaller, AI-focused teams.

AI may not be the only factor behind every reduction, but workers are clearly hearing the connection from executives themselves.

Cuban wants companies to visit the communities affected

Instead of spending money on political influence or celebrity endorsements, Cuban urged AI leaders to visit towns facing job losses and ask residents what would actually help.

He also called for more conversations with artists and creative unions rather than studio executives. The support could take different forms depending on the specific needs of communities, but Cuban said major AI firms should treat billions in community funding as "a cost of doing business."

Community goodwill is also an infrastructure issue

This is where Cuban's warning becomes more than a moral appeal. AI companies need enormous data centers, steady electricity supplies, and local permission to keep expanding. These projects can face zoning hearings, permitting reviews, lawsuits, moratoriums, and organized opposition.

Cuban's business logic rests on this. Companies that alienate workers may also alienate the voters and local officials whose cooperation they need. As he put it, "Being hated is not good for business."

Opposition is already delaying billions in construction

During the first quarter of 2026, at least 75 data center projects valued at approximately $130 billion were blocked or delayed, according to Data Center Watch. That roughly matched the disruption recorded during all of 2025.

The report does not establish that worker anger caused every delay. Communities have raised plenty of concrete objections to the facilities themselves. Still, the scale shows why public opposition has become a financial and operational risk.

Most Americans do not want a data center nearby

A May Gallup report found that 71% of Americans opposed construction of an AI data center in their area, including 48% who strongly opposed it.

Residents cited concerns about electricity and water consumption, pollution, noise, quality of life, and potentially higher utility bills. Cuban's reframe is that these fights may also serve as a proxy for a larger frustration: People see AI concentrating wealth while exposing their own jobs and communities to the costs.

Bottom line

Cuban's warning is ultimately about more than public relations. AI companies may need workers and communities to see tangible benefits from the technology if they expect continued support for the infrastructure behind it. Whether community investment would solve the deeper problem or simply make expansion easier remains an open question.

You do not have to predict AI's long-term impact to prepare for near-term uncertainty. Workers can review their emergency savings and transferable skills, while retirees can check whether their portfolios are overly concentrated in large technology companies. Those small steps could help lower your financial stress as the transition unfolds.

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Author Details

Kristin Hitchcock

Kristin Hitchcock has contributed nearly 200 articles to FinanceBuzz with a specialized focus on retirement planning and the decisions that define long-term financial security. Her writing helps readers benchmark their 401(k) and net worth by age, develop top-notch Social Security strategies, and make smarter everyday money decisions.