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Martin Alderson

Winners and losers in the coming AI margin collapse (part 2) GLM 5.2 and the coming AI margin collapse (part 1) Expert-aware quantisation: near-Q4 quality at near-Q2 size? A brief history of KV cache compression developments xAI is looking more like a datacentre REIT than a frontier lab Is datacentre sovereignty really that important? I went on the Built for Turbulence podcast What's going on with Gemini? Managed agents are the new Lambda Open weights are quietly closing up - and that's a problem 29th August 2026: a scenario Figma's woes compound with Claude Design A little tool to visualise MoE expert routing Has Mythos just broken the deal that kept the internet safe? What next for the compute crunch? Telnyx, LiteLLM and Axios: the supply chain crisis Using agents and Wine to move off Windows Why Claude's new 1M context length is a big deal How to use the Qwen 3.5 LLMs to OCR documents No, it doesn't cost Anthropic $5k per Claude Code user Is the AI Compute Crunch Here? Why on-device agentic AI can't keep up Using OpenCode in CI/CD for AI pull request reviews Which web frameworks are most token-efficient for AI agents? Who fixes the zero-days AI finds in abandoned software? Attack of the SaaS clones How to generate good looking reports with Claude Code, Cowork or Codex Self-improving CLAUDE.md files Two kinds of AI users are emerging. The gap between them is astonishing. Turns out I was wrong about TDD Why sandboxing coding agents is harder than you think The Coming AI Compute Crunch Which programming languages are most token-efficient? I ported Photoshop 1.0 to C# in 30 minutes Why I'm building my own CLIs for agents Travel agents took 10 years to collapse. Developers are 3 years in. Are we dismissing AI spend before the 6x lands? Minification isn't obfuscation - Claude Code proves it AI agents are starting to eat SaaS Has the cost of building software just dropped 90%? Are we in a GPT-4-style leap that evals can't see? I Finally Found a Use for IPv6 How I use Claude Code to manage sysadmin tasks Could Excel agents unlock $1T in economic value? Are we really repeating the telecoms crash with AI datacenters? A non-technical CFO is shipping better code than the agencies he hired Tracking MCP Server Growth Notes from MCP Dev Summit Europe: Where the Protocol Is Headed How I make CI/CD (much) faster and cheaper Google AI Studio API has been unreliable for the past 2 weeks What happens when coding agents stop feeling like dialup? Solving Claude Code's API Blindness with Static Analysis Tools Are OpenAI and Anthropic Really Losing Money on Inference? I gave Claude Code a folder of tax documents and used it as a professional tax agent Beyond the Hype: Real-World MCP Support Across Major AI APIs Welcome to My Blog
Wall Street just lost $285 billion because of 13 markdown files
Martin Alderson · 2026-02-05 · via Martin Alderson

The "SaaSpocalypse" began on the 3rd of February 2026 - with $285bn wiped off technology companies on the public markets. According to CNBC, CNN and seemingly every other financial outlet, the catalyst was 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[1]. 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[2] - 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[3] 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[4] 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.


  1. I was hypothesising recently that we are at the stage where an agent could export data from any platform with a web browser and network logs. No doubt some legal considerations, but I think it's remarkably doable. ↩︎

  2. This is not the same as Klarna's much touted Salesforce replacement - which had to be walked back. I'm meaning switching from systems of record that have unworkable API access to ones that do. ↩︎

  3. I'm sure I have not used many SaaS tools because the agent has just built it for me. Previously I'd look for one, but now an agent can just build what I need as part of a project. For example, I'd have definitely built this blog on Substack (or similar), but it took a minute or two to have Claude Code build it on eleventy. I didn't think to not use Substack! ↩︎

  4. Shopify offers a headless version of their platform called Hydrogen. There's many headless CMSs out there - like Contentful, Hygraph and Strapi. These allow developers to build their own UIs on top of the APIs they provide ↩︎