WILMINGTON, DE, July 23, 2026 /24-7PressRelease/ -- Every day, millions of professionals create value they never fully capture. Their expertise strengthens organizations, improves operations, generates revenue, solves complex problems, and increasingly becomes part of the data that powers artificial intelligence. Tina Brinkley Potts believes we have entered a new economic era, one where expertise has become one of the world's most valuable commodities, yet most professionals have no system for owning the long-term value of what they know. She calls this shift the Knowledge Extraction Economy.

"Your knowledge is being extracted," said Potts. "Right now. Today. Every time you answer an email for free. Every time you solve the problem nobody else could solve. Every time someone picks your brain over coffee and walks away with a strategy they'll use for years. Every time you give your best thinking to an organization that may replace you the moment it becomes financially advantageous to do so. Your knowledge is being extracted."

According to Potts, artificial intelligence has not created this shift. It has exposed and accelerated it. AI can now organize, summarize, retrieve, and deploy knowledge faster than ever before, making it more important for experts to understand the value of what they know and to intentionally build systems that allow that knowledge to continue creating value for them.

To help professionals navigate this new reality, Potts has launched the KnowNet Worth 30-Day Podcast Series, expanding on the ideas introduced in her book, KnowNet Worth: Turn Your Expertise Into Income, Your Systems Into Scale and Your Story into Legacy Using AI, Systems and Soul. Throughout the series, she introduces two foundational concepts that challenge conventional thinking about expertise in the AI era.

The first is the KnowNet Worth™ framework, a methodology that helps experts identify, quantify, and communicate the true value of their expertise, experience, and proprietary insight. Rather than defining themselves by job titles or hourly rates, the framework encourages professionals to recognize their knowledge as intellectual property with measurable value.

The second is the Knowledge Royalty System™, a business model built on that foundation. Inspired by the way songwriters continue earning royalties from music they created years earlier, the model explores how experts can structure, organize, and license their knowledge so it continues creating opportunities, authority, and recurring revenue rather than being exchanged only for time.

Potts is already applying these principles through her work with organizations across the country, helping businesses capture operational expertise, transform institutional knowledge into structured systems, and build digital assets that strengthen discoverability in an AI-driven world. She believes the same principles can help entrepreneurs, authors, consultants, healthcare organizations, educators, attorneys, and thought leaders build businesses that are no longer dependent solely on their hours.

"The future belongs to people who own their knowledge, not just the people who share it," Potts said. "If you don't intentionally build assets around your expertise, someone else will build value from it. The opportunity isn't to fear artificial intelligence. The opportunity is to ensure your knowledge continues working for you long after you've created it."

The KnowNet Worth 30-Day Podcast Series is available now at https://tinabrinkleypotts.com/amplify-your-expertise/ where listeners can access the series, explore additional educational resources, and learn more about the KnowNet Worth™ framework and the Knowledge Royalty System™.

About Tina Brinkley Potts
Tina Brinkley Potts is a business strategist, speaker, author, and creator of the KnowNet Worth™ framework and the Knowledge Royalty System™. Her work helps entrepreneurs and organizations recognize the value of their intellectual capital, transform expertise into business assets, and build systems that increase authority, discoverability, and long-term enterprise value in the age of artificial intelligence.

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