# Gordon Ritter: Who Owns the Intelligence Economy? Defining a social contract for human intelligence in the age of generative AI. - **Source:** [Fortune](https://fortune.com) - **Published:** 2026-11-02 - **Topic:** [Business](https://brifing.si/c/business) - **Original article:** - **On Brifing:** https://brifing.si/s/2c76cf98-fd4c-4ae2-9c8b-3cc5f2b677ba ## The Intelligence Ownership Gap The AI economy is currently being defined by default rather than design. Human traces—judgment calls, workarounds, and reasoning—are becoming the most valuable assets in modern enterprises. As AI models ingest these behavioral patterns, the question of who owns the resulting intelligence remains unresolved, risking a future where companies pay rent to model providers. ## Historical Precedents for Control The 1920s radio boom offers a cautionary tale regarding resource control. Broadcasters staked out frequencies before legal frameworks like the Radio Act of 1927 could catch up. Today, human intelligence serves as the primary resource. If we treat this intelligence as raw extraction, we risk depleting the very source that fuels future breakthroughs. ## Platform Sovereignty and Choice No single model should become the unavoidable infrastructure for organizational intelligence. Providers often create high switching costs, binding companies to their initial platform. True sovereignty requires that organizations maintain control over their learning loops and domain expertise. Access to AI services should never necessitate the surrender of an organization's unique operational intelligence. ## Protecting Behavioral Traces Not all workflows require the same level of protection, but outliers are critical. When a sales representative ignores a script to close a deal or an engineer finds a unique fix, that judgment is the generative part of the loop. Sovereignty claims must belong to the specific human judgment that successfully changed the outcome. ## AI as a Cognitive Crutch AI can either enhance human capability or atrophy it. Research shows that using AI as a crutch for answers reduces long-term retention. Conversely, AI tutors that withhold answers until students reason through problems improve learning gains. Design choices determine whether technology makes people better at their work or merely provides passive, shallow answers. ## The Cognitive Passport Concept A cognitive passport could restore the balance between employer and employee. This portable, anonymized record would capture how an individual approaches problems, excluding confidential data. While the company retains what it learned, the individual keeps their professional judgment. This portability incentivizes growth and serves as a competitive advantage for recruiting top talent. ## Scaling the Intelligence Contract Currently, 89% of organizations use AI in at least one function, but only 44% have begun to scale. This gap represents the critical window for establishing a social contract. Founders, legal scholars, and labor voices must stress-test these frameworks to ensure that human thinking remains the primary driver of compounding value. ## Humans as Mutation Engines AI excels at games with fixed rules, but markets constantly shift. Humans remain the only mutation engine capable of identifying new games and changing rules. Those whose judgment trains today’s AI systems should be treated as co-authors. Technology creates the most value when the people whose thinking feeds the system trust the process. ## Sources covering this story - https://fortune.com/2026/11/02/gordon-ritter-who-owns-the-intelligence-economy/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._