The structural problem with the AI industry's financial self-presentation is that its evidence and Zitron's evidence are not in conflict — they are about different things. Survey data showing broad enterprise adoption [2] and reported positive returns measures whether organizations believe they are getting value. It does not measure whether the companies selling that value are economically viable at current pricing and cost structures. Zitron's argument, developed across , is precisely that the labs are absorbing losses at a scale that adoption velocity alone cannot…