Mark Cuban Uses AI to Speed Up Product Planning
The investor demonstrated how AI models can generate full sourcing and bill of materials in three minutes.
Updated on Oct. 29, 2026 in Artificial Intelligence

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Mark Cuban recently used ChatGPT to generate a comprehensive product plan and bill of materials for a food company executive. The AI completed the complex sourcing and manufacturing outline in approximately three minutes.
Why it matters
The demonstration underscores how AI can compress business planning cycles from weeks to minutes. It signals a shift where leadership, rather than traditional research teams, can use agents to rapidly iterate on product feasibility.
The AI provided a full bill of materials and sourcing requirements in 3 minutes. This output reflects an accelerated planning process compared to manual research, though human oversight remains necessary to validate the AI’s suggested manufacturing parameters.
The players
Mark Cuban
An investor and entrepreneur who advocates for AI integration in business operations.
ChatGPT
A generative AI platform capable of drafting technical and strategic business documents.
The details
Cuban prompted the large language model—a system trained on massive datasets to predict and generate text—to design a cookie optimized for GLP-1 drug users. The model acted as a business analyst, pulling together a list of components and production specifications needed to compete with established market incumbents. Cuban noted that while the output is fast, the AI lacks true 'entrepreneur smarts' without specific human guidance to refine and verify its strategic plans.
Timeline
2025: Cuban predicted AI would facilitate the creation of the first trillionaire.
May 2026: Cuban noted that CEOs require an active AI strategy.
October 2026: Cuban demonstrated the AI-led product design to a food executive.
The Tech Race
This demonstration follows the trend of using AI to achieve the high-growth targets described by Cuban in his 2025 predictions. It positions AI as a core tool for solo entrepreneurs aiming to outpace legacy firms in speed-to-market.
Business leaders can replicate this process to accelerate their own product feasibility research using current LLM tools. The ability to generate sourcing requirements in minutes removes early-stage research barriers for those managing established consumer product brands.
The takeaway
Cuban emphasizes that while AI can draft plans in minutes, the human leader is essential for determining strategic direction. Watch for his ongoing warnings regarding the debt levels of hyperscalers funding these AI capabilities.
Further reading
For more on how language models are changing industry workflows, visit Artificial Intelligence.
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