How Tech Giants Are Funding the Backbone of AI

The episodes analyzes the escalating costs of developing and deploying advanced AI models, particularly generative AI. A significant portion of these costs stems from the expensive hardware, primarily GPUs, needed for training. Other substantial expenses include R&D personnel, server infrastructure, and energy consumption. Despite these high costs, the widespread and rapid adoption of generative AI suggests it is a transformative technology with immense potential, but raises concerns about accessibility given the financial barrier to entry for many organizations.