Medium Article: https://medium.com/@jsmith0475/why-your-ai-agents-keep-failing-and-what-synthetic-intelligence-can-do-about-it-416f035266bc "Synthetic Intelligence: Why AI Agents Fail and What Comes Next," by Dr. Jerry A. Smith, details the widespread failure of current enterprise AI agents, citing failure rates as high as 95% for pilots and high operational costs due to unsustainable energy consumption. The author argues that transformer-based AI is fundamentally limited because it can only respond and simulate intelligence, lacking the capacity for genuine autonomy, intrinsic motivation, and continuous learning required for complex business tasks. As an alternative, the text introduces Synthetic Intelligence (SI), an architecture based on neuromorphic computing and Psi-Theory, which replicates biological brain functions to create non-biological intelligence that is vastly more energy-efficient and capable of genuine adaptive decision-making. The author strongly advises a hybrid strategy where businesses continue using existing reactive AI for simple tasks while immediately investing in SI to gain a competitive advantage in building truly autonomous systems.