petersuber<p>"<a href="https://fediscience.org/tags/Delta" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Delta</span></a> moves toward eliminating set prices in favor of <a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> that determines how much you personally will pay for a ticket."<br><a href="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/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">fortune.com/2025/07/16/delta-m</span><span class="invisible">oves-toward-eliminating-set-prices-in-favor-of-ai-that-determines-how-much-you-personally-will-pay-for-a-ticket/</span></a> </p><p>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 <a href="https://fediscience.org/tags/publishers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>publishers</span></a> used this model to set <a href="https://fediscience.org/tags/APCs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>APCs</span></a>. 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 <a href="https://fediscience.org/tags/JIF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JIF</span></a>)? How would it use all this information? Would it lower the <a href="https://fediscience.org/tags/APC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>APC</span></a> for you, to bring you in, or raise it, to price you out? </p><p>For airlines or journals, would there be any reason to stick with the model if it didn't raise net revenues?</p><p><a href="https://fediscience.org/tags/Economics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Economics</span></a> <a href="https://fediscience.org/tags/Prices" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Prices</span></a> <a href="https://fediscience.org/tags/ScholComm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScholComm</span></a></p>