For supply chain research, Mark Cuban suggests querying multiple AI models (ChatGPT, Gemini, etc.) with detailed product and margin data. Comparing their outputs can reveal new manufacturers and cost-saving strategies.

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Instead of relying on a single AI platform, marketers should adopt a 'best-of-breed' approach. The speaker recommends using Claude for its strength in writing, Gemini for real-time research on current events, and ChatGPT for its advanced capabilities in analyzing marketing content and tactics.

Instead of generating a quick answer, ask ChatGPT to use "Deep Research Mode." This prompts the AI to create a research plan, consult and cite multiple external sources, and deliver a more thorough, consultant-quality report, adding rigor to AI-generated insights.

Advanced AI agents act as domain experts by providing specific, technical questions for vetting suppliers, such as asking for 'e-coating, not matte paint'. This de-risks the manufacturing process for non-expert entrepreneurs.

Don't rely on a single AI model for all tasks. A more effective approach is to specialize. Use Claude for its superior persuasive writing, Gemini for its powerful analysis and image capabilities, and ChatGPT for simple, quick-turnaround tasks like brainstorming ideas.

Marketers can leverage AI browsers to automate competitive research. By opening tabs for multiple competitors, you can prompt the AI to instantly analyze and synthesize their pricing models, lead capture methods, and go-to-market strategies, replacing hours of manual work.

OpenAI is actively diversifying its partners across the supply chain—multiple cloud providers (Microsoft, Oracle), GPU designers (Nvidia, AMD), and foundries. This classic "commoditize your compliments" strategy prevents any single supplier from gaining excessive leverage or capturing all the profit margin.

AI-powered browsers can instantly open tabs for all your competitors and then analyze their sites based on your prompts. Ask them to compare pricing pages, identify email collection methods, or summarize go-to-market strategies to quickly gather competitive intelligence.

Leverage Large Language Models (LLMs) to overcome the 'blank page' problem in strategy development. Use them as a conversational partner to organize scattered thoughts, build a narrative, and refine your ideas before presenting them to stakeholders or the wider team.

A significant source of competitive advantage ("alpha") comes from systematically testing various AI models for different tasks. This creates a personal map of which tools are best for specific use cases, ensuring you always use the optimal solution.

Go beyond using AI for simple efficiency gains. Engage with advanced reasoning models as if they were expert business consultants. Ask them deep, strategic questions to fundamentally innovate and reimagine your business, not just incrementally optimize current operations.