<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>增长瓶颈 on AioGeoLab | AI 实验室</title><link>https://aiogeolab.com/tags/%E5%A2%9E%E9%95%BF%E7%93%B6%E9%A2%88/</link><description>Recent content in 增长瓶颈 on AioGeoLab | AI 实验室</description><generator>Hugo -- 0.151.0</generator><language>zh</language><copyright>2026 TardiAI</copyright><lastBuildDate>Fri, 25 Sep 2026 10:34:05 +0800</lastBuildDate><atom:link href="https://aiogeolab.com/tags/%E5%A2%9E%E9%95%BF%E7%93%B6%E9%A2%88/index.xml" rel="self" type="application/rss+xml"/><item><title>AI提高了效率，为什么公司的业务还是做不大？丨ANC再认识增长瓶颈</title><link>https://aiogeolab.com/posts/tgje-247-finding-growth-bottlenecks-after-ai-efficiency-gains/</link><pubDate>Sun, 20 Sep 2026 00:00:00 +0800</pubDate><guid>https://aiogeolab.com/posts/tgje-247-finding-growth-bottlenecks-after-ai-efficiency-gains/</guid><description>AI出稿更快，公司却不一定能完成更多业务。下一笔增长投入应从实际需求、等待和返工记录中找方向：查清哪些问题阻碍业务增加，针对原因改进，再看按约定完成的付费业务是否增加、投入是否值得，而不是持续加速已经足够快的环节。</description></item></channel></rss>