"#Delta moves toward eliminating set prices in favor of #AI that determines how much you personally will pay for a ticket."
https://fortune.com/2025/07/16/delta-moves-toward-eliminating-set-prices-in-favor-of-ai-that-determines-how-much-you-personally-will-pay-for-a-ticket/
PS: Lots to hate here. But suppose the model spreads to other industries. (Yes, this is sci-fi for now. But let your imagination run free.) Imagine that academic #publishers used this model to set #APCs. What would AI tools infer from your institutional affiliation (about available resources), first name (about gender), surname (about ethnicity), submitted manuscript (about guesstimated quality), and past publications (about specialization, reputation, impact)? What odd variables would it factor in, such as the number of Trump-banned words (for political protection) or the number of citations to that journal (for #JIF)? How would it use all this information? Would it lower the #APC for you, to bring you in, or raise it, to price you out?
For airlines or journals, would there be any reason to stick with the model if it didn't raise net revenues?
