They’re asking for $100+/mo for the plans that are actually usable at scale. If I’m paying that much I have very high expectations.
There’s also the fact that they’re known for dogfooding heavily, I imagine that contributes to it a lot.
There’s also the fact that they’re known for dogfooding heavily, I imagine that contributes to it a lot.
If you think $100 is that much and get very high expectations from it, you're not the target customer. You're a loss leader to Anthropic, and the fact that you don't see that / still have high expectations means your expectations are unrealistic.
For an entire productivity suite including mail, meetings and terabytes of backed up redundant storage with nearly no bandwidth limitations it's like $35/m for even the most expensive option.
Compare it to hosting models locally, that would be more apt. Or renting GPUs from cloud vendors.
If you’re saying an LLM provides more value than the office productivity suites , mail platforms and meeting platforms which run essentially the planet: then I am afraid, you have drunk the kool-aid.
If you’re evaluating software licenses you have to weigh the price to value, there can be value to these LLMs but its not 3x the productivity of Mail+Spreadsheets+Live Meetings+presentations+wordprocessing+filesharing.
Its just not.
The cost of offering a service and the cost of buying a service are correlated but not the customers problem.
If you are the most expensive SaaS on a docket sheet and you’re also the least reliable you had better be delivering some serious value in the times you’re up otherwise customers won’t depend on you and you’ll be the first one out.
Nobody wants to pay premium prices for things they can’t depend on. If you cant understand that then you need to stop offloading critical thinking to your AI tools because your mind needs the exercise.
Whether Anthropic makes money from the $100 subscriptions or not, is their problem.
They’re losing money on you at that price point.
Or more precisely you’re paying for it by giving them training data.
...and let's be realistic, it'll be both.