---
id: "t-2026-02-12-a-200-line-markdown-file-and-285-billion"
type: "thought"
title: "A 200-line markdown file and $285 billion off the software market"
date: "2026-02-12"
week: "2026-W07"
url: "https://nosov.ai/writing/a-200-line-markdown-file-and-285-billion/"
linkedin: "https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7427663647700566016"
author: "Ivan Nosov"
---

# A 200-line markdown file and $285 billion off the software market

A 200-line markdown file wiped $285 billion off the software market in 48 hours.

Anthropic published an open-source plugin for Claude - structured prompts, first-year law school content, some workflow logic. Thomson Reuters dropped 16%. LegalZoom cratered 20%. The selling spread to private equity. Wall Street called it the SaaSpocalypse.

The market wasn't reacting to a text file. It was repricing the assumption that enterprise software can keep charging per human who logs in, when AI agents can execute the same workflows without a seat license.

But the stock market story isn't even the interesting one.

While traders panicked, KPMG - one of the Big Four - quietly pressured its own auditor, Grant Thornton UK, to cut fees. The argument: AI makes audits faster and cheaper, so pass on the savings. Grant Thornton pushed back. KPMG's response, per the Financial Times: lower your prices or we find a new auditor. Fees dropped from $416,000 to $357,000. 14% gone.

KPMG didn't automate anything. They used the fact that everyone now knows the economics changed.

Here's what I find interesting: software developers saw this coming years ago. They already rewired how they work. AI now writes 30% of Microsoft's code and over a quarter of Google's. CNBC reporters - not engineers, reporters - built a working Monday.com clone with Claude Code in under an hour for $5-15 in compute. A Google principal engineer gave Claude Code a three-paragraph problem description and got back in one hour what her team had been building for a year.

Every other knowledge worker is now in the same position.

I tested this on my own work recently. I built a pay equity analysis framework - EU Pay Transparency Directive compliance, regression analysis multi-country - using Claude Code. Total cost: roughly EUR 30. Time: 2 hours. The consulting engagement it would have replaced? EUR 50,000 minimum.

The data I needed - compensation structures, country-specific legislation, statistical methodology - was irreplaceable. The price tag for turning that data into analysis was not.

That's the pattern everywhere. The expertise, the domain knowledge, the judgment that makes work valuable - that's worth more now, not less. It's the context that separates useful AI output from generic garbage. But the assumption that delivering on that expertise requires the same headcount, the same vendor spend, the same cost structure as two years ago - that broke.

The 200-line markdown file compressed a transition everyone expected to take 5 years into a 48-hour repricing event. And the repricing isn't just hitting software stocks. It's hitting how organizations buy, build, and staff every knowledge-intensive function.

It's a good time to be paying attention.

Where are you seeing this repricing hit first - vendor contracts, team structures, individual workflows?