The energy build out, data centers are not wasted. You can swap out A100 GPUs for BH200 GPUs in the same datacenter. A100s will be 5 years old when Blackwell is out - which is just about right for how long datacenter chips are expected to last.
I do, however, think that the industry will move to newer hardware faster to try to squeeze as much efficiency as possible due to the energy bottleneck. Therefore, I expect TSMC's N2 nodes to have huge demand. In fact, TSMC themselves have said designs for N2 far outnumber N3 at the same stage of the node. This is most likely due to AI companies that want to increase efficiency due to the lack of electricity.
But yes, a lot of energy wasted in the growing phase.
They’re way more efficient at matmuls, but start throwing branching logic at them and they slow down a lot.
Literally a percentage of their cores will noop while others are executing a branch, since all cores are lockstep.
Why exactly is energy wasted during this phase?
Are you expecting hardware to become obsolete much faster? But that only depends on TSMC's node cadence, which is still 2-3 years. Therefore, AI hardware will still be bound to TSMC's cadence.
I think OP is suggesting AI algorithms and training methods will be improve resulting in enormous performance gains with existing hardware causing a similar surplus of infrastructure and crash in demand.
I'd be shocked if more than like 20% of the VC money going into it would come out the other side during such an event.
Even poor people can enjoy 8k gaming on a phone soon.
Like Intel and Samsung might make a handful of better chips or whatever, but neither of their business models really involve being TSMC. So if the bubble pop took out TSMC, there wouldn’t be a new TSMC for a while.