Proprietary Reward Models: Sustaining Advantage in Agentic AI

We posit that as foundational AI technologies and tool access become increasingly democratized, proprietary reward models will become a key source of sustainable competitive advantage. These models, representing codified organizational knowledge and strategic principles for guiding AI agents, are argued to be difficult for competitors to replicate due to their reliance on unique data, tacit expertise, and complex organizational processes. The report analyzes this idea through the lens of resource-based, knowledge-based, and dynamic capabilities views, suggesting that the ability to develop and effectively utilize these unique guiding systems for AI will differentiate successful firms in the future. The discussion also considers the implications for firm strategy, structure, and the evolving role of human expertise in an age of increasingly capable AI.