Historically there has been a gap between the performance of AI in test environments vs the impact in the real world, and that makes people who have been through the cycle a few times cautious extrapolating.

In 2016 Geoffrey Hinton said vision models would put radiologists out of business within 5-10 years. 10 years on there is a shortage of Radiologists in the US and AI hasn't disrupted the industry.

The DARPA grand challenge for autonomous vehicles was won in 2006, 20 years on self driving cars still have limited deployment.

The real world is more complex than computer scientists apprecate.