... and I have this little idea in the back of my mind: when companies can no longer keep up with demand and people have (albeit more limited and reduced) local capacity, minds will start focusing on techniques (more humble and modest ones) to keep part of the system running locally, without dependency.
I know it may sound ridiculous, but it could actually become a way to break away from the business models that have been developed over the past few decades. Broadly speaking, this even amounts to saying that the biggest victims of AI could be the companies that bet on AI as a service.
Yet I know my vision is way too idealistic but I'm coming to imagine that a human brain, although less efficient in the long run, remains a reliable way to control the resulting costs and could even turn out to be more advantageous and more readily available than its silicon-based counterpart.
The human brain is incredibly efficient (Approximately 20W of energy consumption¹). These AI systems use many orders of magnitude more energy than human equivalents.
1. https://pmc.ncbi.nlm.nih.gov/articles/PMC8364152/