Of course the tech savvy enterprises will use the best models. But the plumber down the road doesn't care whether she asks Gemini or ChatGPT about the sizing of some fittings.
Of course the tech savvy enterprises will use the best models. But the plumber down the road doesn't care whether she asks Gemini or ChatGPT about the sizing of some fittings.
Everyone is vastly, vastly overestimating advertising. Advertising is a side hustle, because the product is the main hustle.
I think your are the one vastly underestimate advertising.
Consumers can spend what they can spend. Not even 1 quadrillion dollars in advertising can change that. There is a hard, hard cap to the value of advertisement because of that. It's just how the thing works.
“Enough” for what exactly?
Furthermore, OpenAI has to make up for a ton of debt they are taking on. They've already lost $9B, and are planning on losing another $75B in the next 2 years. As such, they have a ton of digging to do to get themselves out of the massive hole they're digging.
First of all, your numbers a off by an order of magnitude at least: even GPT-5 can generate 1000 tokens for 1c, which is much more than a paragraph.
And then again that's why my entire argument revolved around the fact that OpenAI would need to stop aiming for the technological edge. Deepseek generates 25k tokens for a cent and it's still a gigantic model. I'd you use a model comparable in size to gpt-oss-120b you can even increase that up to 100-200k tokens per cent (going from 32GB worth of active parameters, 32B at q8 for Deepseek, to 4GB, 8B using MXFP4 for gpt-oss-120b). That would mean being able to serve more than 100 answers per cent spent on inference.
If they can serve .1c worth of ads per request, that's 90% gross margin for you.