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> Their moat is >1B people are already using ChatGPT monthly.

Unlike a social network, network effects won't help them - their users don't care how many other users they have, only about the AI output quality.

> They aren't going to switch unless something is substantially better.

Or approximately as good but cheaper.




> Or approximately as good but cheaper.

You're fooling yourself if you think OpenAI is going to pass up implementing the same strategies to get a ~27x cheaper model.

> Unlike a social network, network effects won't help them - their users don't care how many other users they have, only about the AI output quality.

Google Search doesn't have a network effect. Everyone on HN has been saying Google Search is complete garbage for a decade. It still has the same market share (roughly) as it did a decade ago.


> You're fooling yourself if you think OpenAI is going to pass up implementing the same strategies to get a ~27x cheaper model.

But that would mean a 27x lower valuation.


> that would mean a 27x lower valuation

Not directly. The 27x is about costs. What it means is some order of magnitude of more competition. That reduces natural market share, price leverage and thus future profits.


> But that would mean a 27x lower valuation.

No.

Valuations are based on future profits. Not future revenues.

You can theoretically lower your costs by 27x and end up with 2x more future profits - if you're actually 45x cheaper (which DeepSeek's method claims to be).


You mean charge a 27x lower price, but have 45x lower costs, so your profit margin has doubled?

Your relative margin may have doubled, but your absolute profit-per-item hasn't. Say you had a 10% margin before, at a $100 price and $90 cost, for a $10 profit-per-item. Reduce price 27x and cost 45x, so $3.7 price, $2 cost, and $1.7 profit-per-item. 6x less profit - not as bad as 27x, but not good if you're OpenAI.


> Your relative margin may have doubled, but your absolute profit-per-item hasn't.

ChatGPT doesn't have any profits right now.

We have no idea what investors are expecting future profits to be.

> Say you had a 10% margin before, at a $100 price and $90 cost, for a $10 profit-per-item. Reduce price 27x and cost 45x, so $3.7 price, $2 cost, and $1.7 profit-per-item. 6x less profit - not as bad as 27x, but not good if you're OpenAI.

Now do the same thing but assume you have 10x more subscribers because the prices are ~27x lower.

You end up with almost 2x more total profit.

Just take ChatGPT's ~$200 subscription. Hardly anyone is going to pay ~$200 a month. Reduce that by 27x - and you're at $7.5 per month. Maybe 10% of people on the planet will pay that.


> Now do the same thing but assume you have 10x more subscribers because the prices are ~27x lower.

You're in various spots of this thread pushing the idea that their 1B MAUs make them unassailable. How are they gonna get to 10B in a world with less than that total people?

> Just take ChatGPT's ~$200 subscription. Hardly anyone is going to pay ~$200 a month. Reduce that by 27x - and you're at $7.5 per month. Maybe 10% of people on the planet will pay that.

They can't even make money at the $200 price point, though. https://x.com/sama/status/1876104315296968813


if ChatGPT starts selling ads on chat results that will probably improve revenue. I've seen social media ads recently for things I've only typed into ChatGPT so that leads me to believe they're already monetizing it to advertising platforms.


> Valuations are based on future profits.

Which are estimated, in significant part, by the chance of a competitor arising.

If the barriers of entry are much lower than originally thought, the potential profit margin plummets.


Google spends immense amounts of resources every year to ensure that their search is almost always the default option. Defaults are extremely powerful in consumer tech.


> Google Search doesn't have a network effect. Everyone on HN has been saying Google Search is complete garbage for a decade. It still has the same market share (roughly) as it did a decade ago.

It absolutely does. People use Google for search -> Websites optimise for Google -> People get “better” results when searching with Google.

The fact that it’s market share is sticky and not responding quickly to change in quality is sort of indicative of the network effect.


Other search engines don't have a gigantic advertising budget or a dominant browser pounding on users' heads to use them.


1 billion MAU? What's the source on that? Very difficult to believe.


It probably counts pretty much anyone on a newer iPhone/Mac (https://support.apple.com/en-au/guide/iphone/iph00fd3c8c2/io...) and Windows/Bing. Plus all the smaller integrations out there. All of which can be migrated to a new LLM vendor... pretty quickly.

I wonder what the direct user counts are.




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