The reality is the product is the easy part.

Actually selling it, maintaining it, selling more of it and running a profitable business is the hard part.

So the AI makes the product really easy to make, but selling it is the hard part.

Because you need to have idea that people agree to pay money for. AI companies have idea that is selling GPU (nvidia) computer generated chat ( OpenAI, Anthropics ). People don't really need GPU or computer chat but they are willing to pay for it because they believe it will help them to save time or money by spending time and money using this shit.

That's paradox of modern times. We are being sold time spending tools that bring nothing to our lives except turning our heads from the fact that planet is dying.

That is the right question.

We all know why…

AI is highly subsidized for users so AI wrappers can be profitable. (Even though they are a net negative to the economy)

But ai companies burn trillions of dollars of investor money with fake promises. They can't make a reddit chatgpt bot that charges a user 10$ a month and make a profit.

They want somebody else to be on the hook for their screw-ups. Doesn't mean they won't get sued if it's something bad enough or their meatshield business decides to make an issue out of it but this way, they've reduced their risks a little.

It's a definite risk. They do steal your inputs and the outputs they send back to you. They will always have even more powerful models that aren't released yet. If you avoid sending them all of your code, they could hack you to steal it. They will certainly copy any good ideas their competitors come up with (Meta Muse agent, jev) within weeks, as they all copied claude code and open claw. Answer to OP is "just not yet".

The unified US establishment goal is to create skynet for global and domestic domination. Theoretically, the AI bond villains could make sufficently sophisticated weapon/control systems to threaten the government, but why bother when it already wants to give them all of our money. "Whoever wins AI, wins" means only first to skynet, wins. Zero relevance to any AI customers, who obviously win through the widest competition/choices on what to use to help them. Not the nationality of the oligarchs that profit off them.

https://naturalfinance.blogspot.com/2026/09/a-global-prosperity-manifesto.html

There's a lot of reasons;

1. The people who run these businesses have grown incredibly wealthy by taking investment to grow. They do not need to be profitable
2. Selling inference is massively profitable. They lose money on model training
3. If you're suggesting they build a "product" that is profitable, I would argue that's a bad idea- it's a high competition space. The people selling AI are in a much better position

AI has sequestered the inventory and future production of memory starting at DDR5 and up. Meta has made an abomination "adapter" to use ddr4 in place of ddr5. They supposedly have backorders to 2030.

The idiots declared they had discovered fire but instead were merely rubbing two rocks together with such force to make sparks and smoke. A lot of people know they called it to early and are now trying to brute force create AGI.

AI capital investment is rumored to be over a trillion USD for just ~~2016~~ 2026. Microsoft has revenue at just under 300 billion. Google's revenue is around 350 billion. Both of these companies are going to drown when someone finally calls it.

https://isaiprofitable.com/

edit: faxed tpyo

That's like asking why doesn't Adobe make their own content and keep the tools internal.

The AI companies could probably be profitable if they weren't dumping tons of money into new model research, but then they would stagnate and die to the ones who keep moving forward.

Companies using their AI don't need to worry about that expense.

Both open AI and anthropic are making a profit on inference / api usage. So if you're using Claude code and burning through millions of tokens they're making money off that. The revenue from this is also growing rapidly.

What's dragging down the bottom line is training, which is the big money sink. They have to do it though to make the next biggest model to compete with each other. They're hoping that they'll hit a plateau in capabilities, whether that be AGI or some government regulation, so they don't have to train any more. At that point they can sit back and collect billions from the inference money printer.

I imagine they tried, but it just kept saying the only way to win was not to play.