Cryptocurrency startups were just ways to bring "novel" trading strategies into the world of unregulated finance. The only "innovation" there was freedom from regulation and accountability, which turned out just as you'd expect. (Also there are still a surprising number of crypto companies plugging away out there.)
"Uber but for ..." apps were either just bad ideas, or ended up serving niche markets or reincarnating as features in Uber, DoorDash and the like. The only innovation there was new facets of the gig economy, which is still expanding BTW.
Now if you look at the AI gold rush, the differences are stark:
1. A lot of AI startups are already making a lot of money and growing at a record pace. Some of the numbers out there are bonkers.
2. The domains they are targeting are all over, including accounting, education, energy, games, healthcare, sales, pharma, drug discovery, agriculture, legal, customer support, semiconductor design, travel, retail... you name it.
3. The demand is so high, AI hyperscalers have TRIPLE-DIGIT BILLIONS EACH in backlog, i.e. commited revenue they could not realize because of severe capacity crunch.
4. Literally all the world's major governments, which typically take ages to catch up to technological change, are scrambling to get in on the AI wave.
All within only ~3 years.
I'd say there's some utility there.