Original Summary

I think one thing that's a bit dishonest that I saw a lot yesterday about the "software is dead" post and I don't blame them is people at all the AI companies kinda replying "omg yes it's the best time to build a startup ever" I mean yes, but you have to translate it to "omg best time to pay my company money for tokens to build your startup ever" And you have a lot of people who are already rich (post-money) who say similar, because they don't need to pay their bills with their salary anymore I'm also incentivized to say all this, half of my net worth is in AI stock (Google, SpaceX, Nvidia, and tech ETFs), I love to see their stock go up, but I care mostly about being real and no personally I don't think it's the best time to be in software ever, even if it's very unpopular to say this I think it's definitely the best time ever for creativity, you can make things now you couldn't even imagine being possible to make just a few years ago, that doesn't necessarily translate to money though There's ~40 million software developers in the world There's 2 billion people regularly using AI tools now So that's 50x, it'll grow to the same number as internet access, that's 6 billion people, so 200x more AI users than devs Once AI agents can do the dev work (they already can), that means something for software, even if it's not right now, but it'll mean something in a few years Many people predict this will cause the cost of everything to go down, and life will get cheaper, which is a good thing It just doesn't mean as a software developer or entrepreneur you'll be paid for the same thing in the future you're paid for right now (maybe other moats, maybe UBI, etc) @levelsio : I'd expand the moats left to: - Proprietary data or content: data nobody else has, or unique content you can create - Network effects / community: users make it more valuable for each other - Audience / distribution: you can get attention on demand - Physical component: Link: https://x.com/levelsio/status/2109653584706990506

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：AI / AI前沿 / levelsio @levelsio
  • 发布时间：2026/10/12 23:05:03