My mom is not gonna use Claude Code, it doesn’t matter to her. We, on Hacker News, don’t represent the general population.
My mom is not gonna use Claude Code, it doesn’t matter to her. We, on Hacker News, don’t represent the general population.
In terms of economic value, coding agents are definitely one of the top-line uses of LLMs.
Coding agents are important, they matter, my comment is that this article isn’t about that, it’s about the other side of the market.
I actually for for ChatGPT and my company pays for Copilot (which is meh).
Edit: Given other community opinions, I don't feel I'm saying anything controversial. I have noted HN readers tend to be overly bullish on it for some reason.
Are you using Claude as an agent in VSCode or via Claude Code, or are you asking questions in the web interface? I find Claude is the best model when it’s working with a strongly typed language with a verbose linter and compiler. It excels with Go and TypeScript in Cursor.
I seriously question any revenue figures that tech companies are reporting right now. Nobody should be believing anything they say at this time. Fraud is rampant and regulation is non-existent.
Whether there's also fraud, misreporting of revenue, or other misbehaviour of weird and wonderful classifications that will keep economics history professors in papers for decades is a separate question. I just find that people get fixated on this one structural feature and I think it's a distraction. It might be smoke, but it's not the fire.
That’s why you see people here mention Claude Code or other CLI where Gemini has always fallen short. Because to us, we see more than a 5% difference between these models and switching between these models is easy if you’re using a CLI.
It’s also why this article is generated hype. If Gemini was really giving the average consumer better answers, people would be switching from ChatGPT to Gemini but that’s not happening.
If consumers refuse to pay for it, let alone more than $20 for it, coding agent costs could explode. Agent revenue isn’t nearly enough to keep the system running while simultaneously being very demanding.
The amount of random fucking subscriptions this senile old dude was paying is mind boggling. We're talking nearly $10k/month in random shit. Monthly lingerie subscription? Yup, 62 year old dude. Dick pill subscription? Yup. Subscription to pay his subscriptions? Yup.
It makes me really wonder how much of the US economy is just old senile people paying for shit they don't realize.
We also found millions in random accounts all over the place. It's just mind boggling.
Ouch, that's not nice. My grandmother has been in care since 2020 and no idea who anyone is (forgot kids, husbands, etc), but at least she was in her 90s when it started going bad.
Besides the cost of serving an LLM request - using someone else’s infrastructure and someone else’s search engine is magnitudes higher than a Google search.
Besides defaults matter. Google is the default search engine for every mobile phone outside of China and the three browsers with the most market share
That is obviously because they can't figure out any other value of the product that's sellable.
I just helped a non-technical friend install one of these coding agents, because its the best way to use an AI model today that can do more than give him answers to questions
The biggest is FOMO. So many orgs have a principle-agent problem where execs are buying AI for their whole org, regardless of value. This is easier revenue than nickle-and-diming individuals.
The second factor is the circular tech economy. Everyone knows everyone, everyone is buying from everyone, it's the same dollar changing hands back and forth.
Finally, AI coding should be able to produce concrete value. If an AI makes code that compiles and solves a problem it should have some value. By comparison, if your product is _writing_, AI writing is kind of bullshit.
Depends if the cost to weed out the new problems it introduces outweighs the value of the problems solved.
I think LLM writing replacing actual authors or AI "art" is fundamentally worthless though, so at least coding is worth more than "worthless"
I'd have to guess that competition and efficiency gains will reduce the cost of AI coding tools, but for now we've got $100 or $200/mo premium plans for things like Claude Code (although some users may exceed this and pay more), call it $1-2K/yr per developer, and in the US there are apparently about 1M developers, so even with a 100% adoption rate that's only $1-2B revenue spread across all providers for the US market.... a drop in the bucket for a company like Google, and hardly enough to create a sane Price-to-Sales ratio for companies like OpenAI or Anthropic given their sky-high valuations.
Corporate API usage seems to have potential to be higher (not capped by a fixed size user base), but hard to estimate what that might be.
ChatBots don't seem to be viable for long-term revenue, at least not from consumers, since it seems we'll always have things like Google "AI Mode" available for free.