The numbers actually work really well, (un)fortunately.
The numbers actually work really well, (un)fortunately.
Even if these things worked great for everyone, the percent of free uses who convert to paid users is low single digits per cent. For OpenAI to have any chance of breaking even in the consumer space, they need to develop an ad biz that makes around 20-25% of G does. That's a tall order in that G doesn't make good dough from search anymore as SERP page clicks are down 80% with AI summaries being good enough for most.
The famous MIT study (95% of AI initiatives fail, remember that one?) actually found that pretty much every worker was using AI almost daily, but used their personal accounts (hence the corporate ones not being used).
If you are brand new to the tech world, and this is your first new product cycle, the way it works is that there is a free-cool-we're-awesomely-generous phase, and then when you are hooked and they are entrenched, the real price comes to fruition. See...pretty much every tech start-up burning runway cash.
Right now they are getting us hooked, and like the dumbasses consumers are, they will become totally dependent and think it will stay this cheap.
I also often see people post AI generated advice and answers that are simply incorrect in Facebook groups and get roasted with 100s of people chiming in on how you can trust ChatGPT.
I just can't see regular people are going to pay more than (NetFlix + HBO + Prime + WM+) for an AI subscription. I think you would see tons of competitors pop up if that were at all viable.
What they found is that people search the Internet for things and an AI bot is right there. What they didn't find is people using Vibe coded apps, learning from AI or buying AI services. They did find companies buying AI services, but as an experiment. Also, blaming AI is easy when someone messes up and costs a customer or sale. The more that happens, the sooner the company stops experimenting. If that happens in a widespread way, then this bubble collapses.
That has indeed been the strategy, but it's not like it always or even usually works out. We've seen plenty of companies that try to raise their prices and people aren't hooked. (Though I am almost certain in this case at least professionals if not the general public will indeed be hooked.)
None of them ever considered getting a paid account, nor would they have. I'm not saying nobody will, but if you actually don't know any such people then there is something unusual about the crowd you run with.
Half this board is in the most hyped echo chamber I’ve ever seen.
I pay for gpt myself, and my work pays for Copilot, GPT, Claude, cursor, Glean, and other enterprise tools. And we make enterprise tools on top of AI that our customers pay extra for.
Averaging the revenue over headcount isn’t the right model, anymore than it would be for RIOT games or YouTube.
If I understood you correctly and my math is correct, your suggestions only cover 6% of 650 billion, the news is suggesting AI companies need more than 10x more. So either it's 5 billion people paying 60-80, or 500 million people paying 600-800/month, or something in between + a little extra.
But we're still short on 26%
> Something they find as indispensable as a cell phone or internet bill.
Source?