Tina Brinkley Potts, a business strategist and author, has declared the arrival of the Knowledge Extraction Economy, a term she uses to describe the growing trend of professionals' expertise being used without fair compensation. In a press release issued Tuesday, Potts warned that every interaction in which professionals share their knowledge—whether through emails, problem-solving, or informal consultations—results in value being extracted without a system for the expert to retain ownership. She argues that artificial intelligence has not created this shift but has accelerated it, making it imperative for experts to recognize and capitalize on their intellectual capital.
To address this, Potts has launched the KnowNet Worth 30-Day Podcast Series, which expands on concepts from her book KnowNet Worth: Turn Your Expertise Into Income, Your Systems Into Scale and Your Story into Legacy Using AI, Systems and Soul. The series introduces two key ideas: the KnowNet Worth™ framework and the Knowledge Royalty System™. The KnowNet Worth framework helps experts identify, quantify, and communicate the value of their expertise, treating it as intellectual property rather than a commodity tied to hourly wages. The Knowledge Royalty System, inspired by music royalties, encourages experts to structure and license their knowledge so it generates ongoing income and authority, rather than being a one-time exchange for time.
Potts is already applying these principles with organizations nationwide, helping them capture operational expertise and build digital assets that enhance discoverability in an AI-driven world. She believes these models can benefit entrepreneurs, consultants, healthcare organizations, educators, attorneys, and thought leaders, enabling them to build businesses not solely dependent on their personal time. 'The future belongs to people who own their knowledge, not just the people who share it,' Potts said, emphasizing that failing to build assets around expertise means allowing others to profit from it.
The announcement underscores a growing concern in the professional world: as AI systems increasingly rely on human-generated knowledge, the individuals who produce that knowledge risk being undervalued. Potts' framework offers a structured approach to reclaiming that value, potentially reshaping how professionals approach their careers and business models in the age of artificial intelligence.
