华尔街因13个Markdown文件损失了2850亿美元。
Wall Street just lost $285B because of 13 Markdown files

原始链接: https://martinalderson.com/posts/wall-street-lost-285-billion-because-of-13-markdown-files/

## “SaaSpocalypse”与智能体工作流的兴起 2026年2月,一场被称为“SaaSpocalypse”的市场大幅下跌,科技公司市值蒸发了2850亿美元,令人惊讶的是,这源于Anthropic在GitHub插件中的一个简单的markdown文件集合——其法律工具。这凸显了对传统SaaS日益增长的威胁:能够复制软件功能,甚至*完全绕过*对软件的需求的AI智能体。 智能体并非以“智能体构建”的替代品来取代SaaS,而是越来越多地能够直接解决以前需要多个SaaS订阅才能满足的需求。例如,复杂的法律或税务问题现在可以通过智能体访问相关资料来获得更详细的解答,超越了许多专注于流程自动化的现有平台的能力。 然而,并非所有SaaS都会走向衰亡。“记录系统”——那些保存关键数据(如会计交易)的系统,仍然具有价值,*前提是*它们提供强大且可扩展的API访问。相反,API有限或设计不良的遗留平台正面临潜在的客户迁移,因为企业要求程序化控制。 未来青睐“无头”软件——从一开始就为程序化访问而构建的API优先解决方案,而不是将API作为事后补充。这种转变表明,markdown与可访问的数据相结合,可能会成为传统SaaS的一个出人意料的强大替代品,这不仅会影响软件供应商,还会影响将专业知识编码为可访问格式的专业服务公司。

## 华尔街抛售与人工智能工具:摘要 近期,亚马逊、英伟达、微软等主要科技公司市值总计下跌2850亿美元,引发了讨论。一些人将其与Anthropic发布的人工智能驱动的“知识工作插件”联系起来——本质上是13个Markdown文件。然而,许多评论员对此表示异议,认为文章缺乏证据,并过度简化了市场力量。 核心观点是,这些工具可能潜在地自动化目前由SaaS企业处理的任务,尤其是在法律工作和合规性等领域。这引发了对SaaS未来的担忧,但许多人认为这是夸大反应。 主要争议点包括人工智能代理是否会*取代*SaaS,还是仅仅*使用*现有的SaaS平台,以及抛售是否更多地归因于虚高的估值和更广泛的经济因素。一些人认为,维护、合规和支持——而不是初始代码创建——才是SaaS的真正价值主张,使得完全取代不太可能。另一些人则强调人工智能代理可能带来新的风险和复杂性。最终,这场讨论凸显了明确解释市场动向的困难性以及围绕人工智能影响的投机性质。
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原文

The "SaaSpocalypse" began on the 3rd of February 2026 - with $285bn wiped off technology companies on the public markets. Reading into it, I was surprised to see mention of Anthropic launching a legal tool. I use Claude a lot, and I hadn't heard of it. A cursory web search didn't bring anything up.

It turns out the "legal tool" in question is a collection of markdown files in the knowledge-work-plugin on GitHub.

Claude Cowork knowledge-work-plugins legal folder on GitHub

It's approximately 156KB - which means for every byte of markdown, nearly $1mn was wiped off SaaS company valuations.

SaaS has a markdown-sized hole in its moat

While the immediate sell-off feels panic-induced - a few thousand words in a text file do not justify this level of drawdown in company valuations - there is a serious point at hand.

As I wrote in AI agents are starting to eat SaaS at the end of last year, SaaS has a serious issue with agentic tooling being able to replicate software.

This incident really leans into a deeper issue though that I've been thinking about. Instead of SaaS being replaced by "agentically-built" SaaS, what if people just don't need (as much) SaaS?

Increasingly I'm realising that agentic workflows often completely bypass SaaS, and actually operate on a much higher level than most SaaS products.

For example - to take legal review - there are dozens of legal review SaaS products out there. Some are "AI native", most old school SaaS UIs (and let's not forget Microsoft Word with probably the most marketshare).

All of these are being disrupted by agentic tooling. Instead of having a UI with buttons to click to do various tasks, you instead just ask the agent exactly what you need, and it goes away and does it.

This gets even more powerful with the agent having access to source material. Back in the summer I found that Claude Code + a bunch of text files was very good at tax questions. This was something I put together in a few minutes out of pure curiosity.

The really interesting thing is very few (none?) tax SaaS platforms can do the sort of detailed question answering that that experiment shows. They're focussed on automating a process (filing your taxes) whereas agents (especially with the right source material available) can provide answers on what to file, how to file it and why certain things should be filed.

To me this seems like working a level above "legacy" SaaS - it replaces the professional services angle as well as the SaaS platform that previously your lawyer or accountant might use on your behalf.

Now I'm not suggesting for one second that people trust their tax filing or legal review entirely to an agent. But I think Wall Street is directionally right on this - a bunch of text files in a folder is actually remarkably powerful.

But some still do have moats

Having said that, some SaaS providers definitely do still have significant moats (for now, at least!). If you're a system of record - this actually becomes increasingly valuable in an agentic future.

For example, if you hold a company's accounting transaction data and related records, and expose it over MCP (or an old school API that can be wrapped into a CLI - which works better in my view), agents can use this with remarkable efficiency. You can ask questions, have the agent use the various tools that the service provides and build extremely detailed reports, presentations and dashboards in minutes. Even better, these can be exported into really good looking, professional documents or dashboards (this will be a topic of a future post) in seconds.

I don't see agents replacing these system of records any time soon - though making predictions on this is a fool's game. They're difficult to build, often contain a lot of carefully (you'd hope) thought through business logic and exporting data out of them is difficult.

However - on the flip side - this can be a real weakness for certain players. A few people I know are already starting to hit real limitations with certain systems of record. They either don't have functional APIs or rate limit their APIs to such an extent that agentic use is impossible. This unfortunately is very common with many legacy platforms - they had public APIs grafted on to them as an oversight and aren't well built and often expose decades of technical and infrastructure debt which is hard for them to resolve.

Equally, they may not support proper API token scoping - so you might have one API key for the entire platform (meaning no way to lock certain users agents down) and/or ability to allow certain API tokens access to certain parts of data or tasks. This just doesn't work at scale.

I think we'll start hearing more and more about companies doing extremely expensive and time consuming migration processes away from certain vendors - not because they have replaced it with an internal equivalent, but that certain vendors simply can't offer the programmatic access that their customers demand.

The winners will be headless

So what does agentic-first software look like? Initially I thought we would see people replace SaaS tools (intentionally or not) with their home grown versions. While that's definitely true, the improvement in agentic harnesses and the underlying models have meant that I think there's a whole new category ready to emerge.

Effectively, API first solutions for each vertical. These are products built from the ground up to allow programmatic access - instead of the other way round where the UI is the main feature and API access is a checkbox on their feature list.

This means really thinking through the most flexible way to offer access to data. It also means generous and fast API access to it, along with access and permissions to control and secure it at scale.

This isn't actually a new concept - we've had so-called "headless" CMSs and ecommerce platforms before AI came along. But I now think we'll see an explosion of them.

So in a way markdown might replace SaaS. But it needs the data and processes available to it - and a broad based selloff is far too simplistic to cover all the different dynamics at play. But professional services firms should be equally as concerned. It's actually their expertise which is starting to be turned into markdown files.

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