curl-6 said:
It can also be a pretty massive disadvantage; just last month an AI system deleted a company's entire database: https://www.theguardian.com/technology/2026/apr/29/claude-ai-deletes-firm-database The difference with Apple and Amazon is that those companies had a realistic path to profitability; AI companies on the other hand currently don't, there's just not enough demand to balance out the vast amounts they're spending. Open AI's Sam Altman for instance openly admits he has "no idea how we may one day generate revenue": https://www.startupbell.net/post/sam-altman-told-investors-bluntly-he-had-no-plans-on-how-to-generate-revenue |
Yeah, I agree. We don't see the real bill for AI just yet, we profit currently from investor money that is burned. At some point AI has to turn a profit. There are multiple ways that can happen. Either that means price increases in some form. Which may make AI usage that is by now justifiable financially untenable. Or make it cheaper (reducing usage of resources like power and hardware). We already seen some efforts in that direction: producing fewer tokens, Mixture of Experts (which only inferences parts of the network with each request), or getting good results with smaller networks. Possibly both will happen to some extent. We will see.
