Research Overview This study proposes a dynamical framework for preserving open market structures in an era of Robotics-driven Automation Economies and Unlimited AI. Rather than suppressing capital concentration, the model interprets it as latent system energy and introduces a contribution-based mechanism that converts this concentration into infrastructure enhancement. By using Shannon entropy as a measure of system operability, we construct a nonlinear feedback protocol that maintains network accessibility without centralized intervention. The framework proves that even under the rapid shifts of the technological singularity, it is possible to achieve a steady state where capital circulation, innovation incentives, and structural stability coexist. Our goal is to ensure that the "ladder of success" remains permanently open to human agents as active economic actors within an increasingly autonomous system. Note on the Raw Source Disclosure In the interest of transparency and reproducibility, this document is shared in its Raw Source form. We have prioritized revealing the authentic trajectory of thought embedded within the model over traditional formatting. This approach offers a unique, interactive experience. We invite readers to actively engage with the complex equations and algorithms by querying AI for supplementary explanations and deeper insights. We believe this dynamic interaction serves as the most effective gateway to grasping the multidisciplinary implications of this framework. It is our sincere hope that this document serves as a catalyst for new economic imagination in the age of unlimited machine intelligence. Key Keywords: #UnlimitedAI #RoboticsAutomation #AutomatedEconomy #EconomicDynamics #ShannonEntropy #MarketSustainability #TechnologicalSingularity
Sungmin Lee (Sun,) studied this question.