2026年才可行的人工智能创意
我开始这个项目是因为注意到大多数关于人工智能创业想法的讨论，往往集中在技术上的令人印象深刻，而不是经济上的可行性。
但是，当你观察那些悄然成长的人工智能SaaS公司时，会发现一种不同的模式。
它们自动化了人们已经抱怨的无聊、重复的工作，比如评论、运营、支持和报告等任务，这些任务之前因为成本过高或不够稳定而无法完全用软件替代。
人工智能改变了这种局面。某些想法之所以变得可行，并不是因为它们是新的，而是因为成本和可靠性终于变得合理。
在浏览论坛、创始人社区和公共讨论时，我开始收集这些反复出现的痛点。
随着时间的推移，这些痛点汇聚成了startupideasdb.com（可以去谷歌搜索），这是一个基于真实挫折而非潮流周期来挖掘人工智能创业想法的平台。
在这里分享这些内容，希望从社区中学习。
你认为哪些“显而易见”的问题会悄然转变为一个大型的人工智能商业机会？
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I started this project after noticing that most discussions around AI startup ideas focus on what’s technically impressive, not what’s economically viable.<p>But when you look at AI SaaS companies that quietly grow, a different pattern shows up.<p>They automate boring, repetitive work people already complain about reviews, ops, support, reporting tasks that were previously too expensive or fragile to fully replace with software.<p>AI changes that equation. It makes certain ideas viable not because they’re new, but because the cost and reliability finally make sense.<p>While digging through forums, founder communities, and public discussions, I began collecting these recurring pain points.<p>Over time, that became startupideasdb:com (google it) a way to surface AI startup ideas grounded in real frustration rather than trend cycles.<p>Sharing this here to learn from the community.
What “obvious” problem do you think will quietly turn into a big AI business?