# 数据标注公司为何仍有巨大护城河

- 来源：gabriel (@gabriel1)
- 发布时间：2026-08-14 05:19
- AIHOT 分数：33
- AIHOT 链接：https://aihot.virxact.com/items/cmss0xrwn003rroh6512ikp95
- 原文链接：https://x.com/gabriel1/status/2088012650181689644

## AI 摘要

数据标注公司的护城河被低估：所需数据高度不确定、技术性强且依赖研究，无法靠堆人力完成。规模最大的劳动力、顶尖研究人才以及与少数实验室的深度合作关系都难以复制。实验室也难以全盘内部化这一复杂流程，需要创始人的持续专注。

## 正文

i don't understand why people are bearish on data making companies

what data is needed is super unclear and unpredictable. it's highly technical, high taste, and research-heavy. you can't just assemble 1000 people and say "make things"

idk feels to me like there are huge moats in having largest scale workforce, having the best researchers to understand what is important, building relationships with like the 5 labs that exist that are hard to buildup etc

also seems hard for the labs to just do everything inhouse, it's highly complex process and you kinda need founders attention to it