AI Commoditization and Conscious Teams

LLMs work primarily on classical information, which is public and shareable; the outputs of AI therefore inevitably lead to a commoditized equilibrium where everyone reaches the same logical conclusions. For organizations, this means scaling AI-, and logic-based decisions will – in the short term – lead to promising efficiency gains and perhaps innovation, but in the long term inevitably to a highly competitive market with little to no differentiation, simply because these decisions are de-facto always based on historical data. The big difference with AI is that it is connecting dots in massive amounts of data humans are incapable of. However, new Creations, Laws, and Symbols can only emerge from Meaning, not the other way around. Therefore, the only way to deploy AI is to do so alongside training and hiring conscious employees with the aim to create unique, non-reproducible decisions/products that hold immense density of meaning. Focusing on “probabilistic prediction” (AI) leads inevitably to commoditization, while “creative manifestation” (Free Will / Consciousness) is the only antidote. Organizations have to fully drop traditional structures of hierarchies (control) and reinvent as an entangled network of conscious humans to maximize collective comprehension (consciousness does not differentiate between titles, seniority, or network).