What happens when an LLM becomes load-bearing infrastructure

I've spent the last couple of years deploying enterprise AI, and the fear of 'vendor lock-in' is misplaced. The Salesforce playbook doesn't work here because models are stateless APIs and intelligence costs are collapsing (265x in 3 years). The real constraint isn't compute — it's energy. When Microsoft is restarting Three Mile Island and Google is commissioning nuclear reactors, that tells you where the actual bottleneck is. The lock-in risk isn't the model you choose; it's the architectural debt you build around it.