Author: David Ondrej
Compiled by: Deep Tide TechFlow
Introduction: Last Monday, Anthropic released a suite of plugins for Claude Cowork. Not a new model, not a chatbot upgrade, but plugins. Within 24 hours, the software stock market lost $2.85 trillion in market value. A plugin market announcement wiped out more wealth in a single day than most industries produce in a year. Wall Street is no longer afraid of AI; they are afraid of what AI replaces.
David Ondrej points out that what is dying is a very specific type of software business—SaaS built on the weak moat of "beautiful UI + integration + per-seat pricing." When AI agents can directly complete tasks within existing systems, you don't need 15 different SaaS tools with beautiful dashboards. Value is being sucked upward into the agent layer and downward into the data layer. Everything in the middle is being squeezed.
Full text below:
Last Monday, Anthropic released a suite of plugins for Claude Cowork.
Not a new model, not a chatbot upgrade, but plugins.
Within 24 hours, the software stock market lost $2.85 trillion in market value.
A plugin market announcement wiped out more wealth in a single day than most industries produce in a year.
Wall Street is no longer afraid of AI.
They are afraid of what AI replaces.
II
Here’s where most people get it wrong.
They hear "SaaS is dead" and think it means companies will stop buying software.
That’s not it at all. Not even close.
What’s dying is a very specific type of software business—and if you understand which type, you’re looking at the biggest startup opportunity in a decade.
Let me explain:
III
Over the past 15 years, the SaaS playbook was simple:
Find a common business workflow. Build a beautiful UI around it. Add some integrations. Charge per seat, per month. Defend your position with switching costs and minor product tweaks.
This playbook created hundreds of billionaires.
But it has a fatal flaw that no one talks about.
Most of the value was never in the software itself. It was in the workflow the software organized.
The UI was the middleman.
And AI just made the middleman obsolete.
IV
Here’s what Anthropic actually did—because the headlines missed the point.
They didn’t build a better chatbot. They turned Claude into a work execution layer.
Cowork plugins allow AI agents to log into your existing tools—your CRM, your documents, your databases—and autonomously execute entire workflows. Legal audits, sales pipeline management, data analysis, production-level code, and more.
No human involvement required. This is the part that spooked the market.
Because if AI agents can do the work directly within your existing systems—why do you need 15 different SaaS tools with beautiful dashboards?
Here’s the part that should really keep SaaS founders up at night:
If 10 AI agents can do the work of 100 employees, you no longer need 100 Salesforce seats.
AI doesn’t kill software directly. It kills the number of employees using the software. That kills the per-seat revenue model. That kills the business.
V
This is what I call the "Thin Middle Squeeze."
Imagine three layers:
Top Layer—AI agents. The things that actually perform the work.
Middle Layer—SaaS UI. Dashboards, workflows, the buttons you click.
Bottom Layer—Systems of record. Databases, CRMs, and ERPs that store the real data.
Now, value is being sucked upward into the agent layer and downward into the data layer.
Everything in the thin middle is getting crushed.
This is why Adobe’s forward P/E dropped from 30 to 12. ServiceNow from 67 to 28. Not because people don’t need what they do—but because investors realized that when AI agents can completely bypass the UI, the moat around "beautiful UI + integrations" is paper-thin.
The interface used to be the product, but now it’s just a shell.
VI
But here’s where those saying "SaaS is dead" are completely wrong.
SaaS isn’t dead; the era of easy SaaS moats is dead.
That’s a huge difference.
Companies will spend more on software this year than ever before. Enterprise AI capex alone will exceed $470 billion by 2026. This isn’t a shrinking market—it’s a market exploding in size.
The money isn’t disappearing; it’s moving.
Most people are so busy panicking that they completely miss where it’s landing.
VII
Here’s where the money is actually going:
- AI Platform Subscriptions
Usage-based. Consumption-based. Not per seat. Companies will pay for AI capacity like they pay for cloud computing—based on what they use, not how many people sit in the building. This is already happening. GitHub’s AI agent is gated behind a premium tier with usage-based pricing. That’s the template.
- Systems of Record
Agents don’t eliminate the backend; they operate the backend. CRMs, ERPs, data warehouses—these become more valuable, not less. Because AI agents need clean, authoritative, trustworthy data to act. Garbage data in, garbage actions out. Companies with large-scale, proprietary data will win.
- Security, Governance, and Compliance
When agents act at scale, mistakes happen at scale. Every company deploying AI agents will pay for permissions, audit logs, policy enforcement, monitoring, and evaluation. It’s boring infrastructure—and it will print money quietly for the next decade.
- Outcome-Based Pricing
No more "$99 per seat per month." You’ll see "$5 per contract reviewed." "$2 per support ticket resolved." "$10 per enriched qualified lead." Software priced like labor—because it’s replacing labor. This is where the entire industry’s pricing model shifts.
- Services
This one surprises people. But when building software becomes cheap and easy, companies will experiment with more custom software services. Implementation, workflow design, migration, integration work—demand for services is about to explode. Vibe coding makes creation easy. Making it work in a real business is a whole different story.
VIII
So if you’re building a startup right now—or thinking about it—here’s the only question that matters:
Where are you in the stack?
If you’re building in the thin middle—putting a pretty UI on someone else’s data, charging per seat, with no proprietary edge—you have a serious problem. Not because your product is bad. But because the economics of your position are collapsing in real time.
The agent layer above you is eating your interface.
The system of record below you is eating your lock-in.
You’re being squeezed from both directions. And that squeeze only accelerates from here.
IX
Here’s what to build instead.
Build in the agent layer. Create AI-native tools that don’t just display information—they execute workflows. Don’t show users a dashboard. Do the work for them. Price based on outcomes, not seats. Be the thing that acts.
Build in the data layer. Own proprietary data. Build systems of record for areas that don’t yet have good systems. Make yourself the authoritative backend that every AI agent needs to plug into. Agents come and go—the data layer is eternal.
Build infrastructure. Security. Monitoring. Evaluation. Governance. Compliance. Tools that enable safe deployment of AI agents at scale. Not sexy. Extremely profitable. Demand hasn’t even begun yet.
Build services. Help companies implement, customize, and operate AI systems in their actual businesses. This is where most of the real-world complexity lives, and where massive value will be created over the next 5 years.
X
Here’s the irony no one is talking about.
Anthropic’s Cowork—the product that supposedly kills SaaS—is itself a SaaS product, sold via subscription to organizations over the internet.
SaaS as a delivery model is fine. It’s always been fine.
SaaS as a business strategy built on shallow moats and commoditized workflows priced per seat—that’s over.
Conclusion
Everyone looks at this $2.85 trillion loss and sees destruction.
But I see transfer.
That value didn’t disappear. It’s moving—from companies that captured value by being the middleman between humans and their tools, to companies that capture value through execution, data, and infrastructure.
The old playbook was: Build workflow UI, charge per seat, grow revenue by increasing your customer’s headcount.
The new playbook is: Build something that owns data, executes outcomes, or secures systems. Price based on value delivered, not butts in seats.
If you’re a founder reading this, the worst thing you can do is panic.
The second worst thing is to keep building like it’s 2019.
The best thing you can do is understand where the value is moving—and stand where it lands.
The SaaS era isn’t over.
The easy SaaS era is over.
And honestly, for anyone actually building real things, this is the best news in a decade.
