The question I'd love to be able to ask the author is how, in fact, this is different from search. Google successfully built a moat around that, but one can argue, too, that it should not have been long-lived. True, there was the secrete page-rank sauce, but sooner or later everyone had that. Other corporations could crawl anything and index whatever at any cost (i.e. Bing), yet search, which is in some sense also a commodity heavily reliant on models trained partly on user input, is what underpins Google's success. What about that problem allowed it to successfully defend it for so long, and why can't you weave a narrative that something like that might, too, exist for generative AI?