Not in my experience. AI exposes the truth that agile as it is practised is a huge waste of time. All the bullshit ceremonies and short sprints were designed to get code squeezed out faster, no matter if the code actually addressed the goals of the project. The stupidity of agile is in its iteration speed since you can be handed utter crap, implement it to hit your story points and find out the drooling shitgibbon who wrote the specs phoned it in so your work is now wasted. Rinse, repeat.
But that is fundamentally what agile is about. It's not about coding faster, it's the recognition that the specs are incomplete or wrong because fundamentally, a lot of customers cannot tell you what the want until they see it. That's why "build something simple and iterate on it" works. Regardless of how good your spec is, once the coding is done the customer is going to realise that that's not what they actually wanted.
Holding analysts to account would be a good start. Agile lets them get away with laziness. It’s always “oh sure we got that wrong better luck next sprint”
Agile was always aiming to solve the wrong problem (that code is the bottleneck) but it turned out to be a massive lie exposed by LLMs.
It’s always the poor specs, terrible analysis and release constraints that kill projects.