The Short Version
This claim is not supported by the evidence. Large-scale startup failure databases consistently show the leading causes are no market need (42%), running out of cash (29%), wrong team (23%), and competition (19%) — none of which are AI-related. While AI startups do fail at high rates, even those failures are largely attributed to classic business problems like poor product-market fit. The claim conflates "AI startups failing" with "startup failures caused by AI," which are fundamentally different statements.