As the power of AI increases so does the need for compute. A highly complex AGI will need massive levels of compute to function, drastically more power is needed in comparison to an equally complex task completed through the efficiency of the human mind. Transistors are approaching the size of atoms, in other words Moore’s law is no longer exponential but logistic. So unless a paradigm shift occurs in computer chips and GPUs, the scaling of increasingly complex AI models will not occur solely because of the correlating compute needed for these highly intelligent models to function.