Business owners are overwhelmed by AI terminology. A consultant can create a personalized GPT ecosystem using their unique preferences, goals, and workflows. This service turns an executive's operational knowledge into valuable intellectual property, packaged as custom system prompts and GPTs they can use daily.

The new generation of AI automates workflows, acting as "teammates" for employees. This creates entirely new, greenfield markets focused on productivity gains for every individual, representing a TAM potentially 10x larger than the previous SaaS era, which focused on replacing existing systems of record.

Most successful SaaS companies weren't built on new core tech, but by packaging existing tech (like databases or CRMs) into solutions for specific industries. AI is no different. The opportunity lies in unbundling a general tool like ChatGPT and rebundling its capabilities into vertical-specific products.

Instead of exclusive, all-encompassing deals, media conglomerates like Disney should strategically license separate parts of their IP portfolio (e.g., Pixar to Google, Marvel to Anthropic). This creates a competitive market among LLM providers, driving up the value of the IP and maximizing licensing revenue.

Rather than fighting the inevitable rise of AI-generated fan content, Disney is proactively licensing its IP to OpenAI. This move establishes a legitimate, monetizable framework for generative media, much like how Apple's iTunes structured the digital music market after Napster.

Stack Overflow structures its AI data licensing deals as recurring revenue streams, not one-time payments. AI labs pay for ongoing rights to train new models on the entire cumulative dataset, ensuring the corpus's value is monetized continuously as the AI industry evolves.

Reframe IP from a legal asset to be protected into your 'intellectual perspective'—a unique viewpoint on how to do something. This mindset shifts focus from costly legal protection to creating shareable, repeatable frameworks that scale your business beyond your personal involvement.

In the age of AI, software is shifting from a tool that assists humans to an agent that completes tasks. The pricing model should reflect this. Instead of a subscription for access (a license), charge for the value created when the AI successfully achieves a business outcome.

OpenAI's Agent Builder could establish a middle market between free, ad-supported consumers and large enterprise API users. This "prosumer" tier would consist of power users willing to pay based on their consumption of advanced, automated workflows, creating a new revenue stream.