Why Mark Cuban Embraces AI for Wealth Building—And What Investors Can Learn

Tech entrepreneur Mark Cuban didn’t build his fortune by ignoring technological shifts. From co-founding Broadcast.com in the 1990s to his current ventures, Cuban has consistently positioned himself ahead of trends. Today, he’s doubling down on artificial intelligence as the next frontier—and recently shared that he leverages AI for virtually every aspect of his business and personal life.

In a 2025 podcast appearance, Cuban revealed concrete examples of his AI integration. He uses coding platforms like Replit to overcome skills gaps, creating tools that automatically monitor pharmacy pricing for his Cost Plus Drugs venture. He deploys AI to generate video content for the Dallas Mavericks and other holdings. Even in his personal sphere, Cuban relies on AI for health tracking and fitness monitoring during medical challenges.

While Cuban acknowledges AI’s limitations and advocates for healthy skepticism about its accuracy, he sees transformative potential. His bold prediction: AI will eventually create the world’s first trillionaire—possibly someone working from their basement with a powerful idea and AI as their collaborator.

Beyond the Hype: How Ordinary Investors Can Actually Use AI

The takeaway isn’t that everyone will become wealthy through AI, but that it offers tangible advantages for financial decision-making. Yet for investors, the approach matters significantly.

Asking ChatGPT “which stocks should I buy?” rarely produces sophisticated guidance. A more strategic application involves blending AI with financial advisory services, creating a hybrid model where technology and human judgment coexist.

According to Amy Chou, who leads product and operations at Addition Wealth, AI excels at what human advisors cannot: “Advisors struggle to retain information from dozens of documents you’ve shared. AI retains everything—your stated goals, prior decisions, uploaded materials, and trade-off considerations. It’s particularly adept at decoding dense financial documents like employee benefits packages, equity compensation structures, and tax scenario analysis—areas where most people get stuck.”

The critical distinction: AI shouldn’t be treated as a shortcut to instant answers. Instead, it demands iterative engagement and collaboration.

Making AI Work Within Its Boundaries

The most effective use cases emerge when investors feed AI detailed, specific context rather than generic queries. As Chou explains, “One-off questions generate one-off answers. When you provide granular information and precise questions, AI transforms complexity into clarity.”

As you build a richer information profile within these platforms, they evolve from reactive tools to proactive advisors. They begin flagging deadlines, surfacing opportunities, and suggesting actions tailored to your exact financial situation—rather than waiting for your next question.

This contextual awareness combined with clear decision explanations at opportune moments represents AI’s genuine value in everyday financial management.

However, many financial decisions blend objective analysis with subjective preference. Deciding whether to relocate, for instance, involves numbers but also lifestyle considerations—areas requiring human perspective and judgment.

The Optimal Framework: AI Plus Human Oversight

For the average investor, confidence should stem from combining AI capabilities with human checkpoints. The ideal arrangement ensures AI recognizes its limits and signals when human guidance becomes necessary.

“If your financial profile is intricate or you’re facing major life transitions, begin with AI,” Chou advises. “Ideally, the system alerts you when an advisor conversation becomes appropriate. And because AI already possesses your full picture, it seamlessly transfers that context to your advisor, making a 30-minute consultation far more productive and personalized than traditional advisory relationships.”

Mark Cuban’s approach—viewing AI as a skill multiplier rather than a replacement for judgment—reflects this balanced philosophy. As financial technology evolves, investors who master this collaboration between artificial and human intelligence will likely build wealth more consistently and confidently.