The AI Slaughter: How Software Stocks Are Being Destroyed by the Very Thing They're Selling
| Company↕ | YTD Drop↕ | Market Cap↕ | Est. Cap Lost↓ | Price↕ |
|---|---|---|---|---|
SAPSAP | -32.3% | $208.2B | -$67.2B | $164.23 |
APPAppLovin | -45.0% | $126.7B | -$57.1B | $375.55 |
CRMSalesforce | -35.7% | $157.1B | -$56.1B | $170.29 |
INTUIntuit | -45.8% | $99.2B | -$45.4B | $358.39 |
NOWServiceNow | -41.7% | $92.5B | -$38.6B | $89.26 |
ADBEAdobe | -34.6% | $92.7B | -$32.1B | $229.40 |
ADPADP | -23.9% | $78.7B | -$18.8B | $195.51 |
SNOWSnowflake | -40.0% | $45.6B | -$18.2B | $131.96 |
WDAYWorkday | -47.5% | $29.0B | -$13.8B | $113.03 |
ADSKAutodesk | -25.3% | $46.6B | -$11.8B | $221.03 |
TEAMAtlassian | -63.8% | $15.5B | -$9.9B | $58.76 |
MDBMongoDB | -45.2% | $18.6B | -$8.4B | $231.65 |
There's a brutal irony playing out in the markets right now. Every software company on earth is telling investors that AI is their future, their growth engine, their moat, their salvation. And yet, if you look at the actual stock performance of these firms, AI is doing something else entirely: it's annihilating their valuation.
The interactive table above tells the story. As of April 9, 2026, the software sector is in freefall. Click column headers to sort, or use the search box to find a specific company. There are few reasons why.
The Numbers Are Ugly (April 9th, 2026)
Take a look at the data. Some highlights that should keep every software CEO up at night:
- Figma (FIG) is down -86.66% from its 52-week high. That's not a correction. That's a massacre.
- Monday.com (MNDY) has lost -80.24% from its peak.
- Duolingo (DUOL) is down -83.45%.
- Atlassian (TEAM), Asana (ASAN), GitLab (GTLB) , all down between 63% and 75% from their highs.
Even the "survivors" aren't doing great. Twilio (TWLO) at -14.94% and Zoom (ZM) at -13.94% are the best of a terrible bunch. The average YTD loss across these 25 companies is roughly -37.5%.
The AI Paradox
Here's the thing that makes this whole situation almost darkly comedic: every single one of these companies is selling AI.
Salesforce has Einstein. Adobe has Firefly. ServiceNow has their AI platform. HubSpot has AI-powered everything. They're all standing on earnings calls talking about AI revenue, AI features, AI this and AI that.
And the market is responding by vaporizing their valuations.
Why? A few theories:
1. AI Commoditizes What They Sell
If AI can write code, design interfaces, manage workflows, and generate content, what exactly is the moat for a SaaS company? The tools these companies sell are being replaced or augmented by AI models that anyone can access. The barriers to entry are collapsing.
2. The Revenue Isn't Materializing
Companies are talking about AI revenue, but the actual numbers don't seem to be showing up in earnings. Investors are starting to notice the gap between the narrative and the reality. AI features are nice, but are they worth paying a premium for? The market seems to think no.
3. New Competition Is AI-Native
Startups built from scratch with AI at their core don't have legacy codebases, legacy pricing, or legacy thinking. They're not bolting AI onto a 10-year-old platform. They're building something fundamentally different. And the market knows it.
4. Valuations Were Already Stretched
Let's be honest, the average P/E ratio on this list is 77.30. That's not a "reasonable growth stock" valuation. That's a "we priced in perfection and then some" valuation. AI didn't cause the overvaluation, it was already there but now AI is definitely exposing it.
The Market Cap Carnage
The raw dollar losses are staggering. Salesforce alone has lost over $86 billion in market cap from its 52-week high. Intuit, Adobe, ServiceNow, Snowflake all have lost tens of billions each.
We're talking about hundreds of billions of dollars in shareholder value wiped out across this sector. That's not a sector rotation. That's a reckoning.
What This Means for Software Companies
If you're running a software company right now, the writing is on the wall:
- AI features alone won't save you. Every competitor has them now. They're table stakes, not differentiators.
- Your moat is shrinking. What used to require a team of engineers and a year of development can now be approximated with few API call to an LLM.
- Pricing power is disappearing. When AI can do your job cheaper, your customers will notice.
- The market is re-rating you as a utility, not a platform. And utilities don't trade at 77x earnings.
The Survivors
Only two companies on this list are down less than 15% YTD: Twilio and Zoom. What do they have in common? They're both infrastructure plays, they provide foundational services (communications and video) that AI augments rather than replaces.
That's instructive. If you're underneath the AI stack rather than competing with it, you might survive.
What Comes Next
Historically, software selloffs of this magnitude have two possible endings: a prolonged base-building period lasting 12,24 months as fundamentals catch up to price, or a sharp snapback driven by a macro catalyst, a pivot from the Fed, a resolution on trade policy, or a surprise beat cycle that reminds the market these businesses still grow.
Neither outcome is guaranteed. But one thing is clear: at average drawdowns of 52% from 52-week highs, many of these names are pricing in a world far worse than what their business fundamentals currently suggest. For patient, long-horizon investors, the question isn't whether software recovers, it's whether you can hold through the noise long enough to be there when it does.
Final Thoughts
I don't think software is dead. But I think the era of "build a SaaS wrapper, charge $50/month/user, and watch the stock go up forever" is over. AI has fundamentally changed the economics of software. Companies that don't adapt, really adapt, not just add an "AI-powered" badge to their landing page are going to get left behind.
The market is telling us something. The question is which these boardrooms is really listening and have a plan to play this out.
Data sourced from Lin @speculator_io, April 9, 2026. I am not remotely qualified to provide financial advice. Do your own research.