Remember when everyone said “software is eating the world”? Well, plot twist: AI is now eating the software.
We’re witnessing what smart money is calling “SaaSmaggedon” – the slow-motion collapse of the traditional software-as-a-service model. And honestly? It was bound to happen.
Here’s the thing that’s keeping SaaS executives up at night: AI doesn’t need a seat at the table. For 15 years, SaaS companies had the perfect racket – charge $30-100 per employee per month, and watch revenue grow as companies hired more people. More butts in seats = more money in the bank.
But AI agents don’t sit in chairs. They don’t need dashboards. They don’t click buttons. They just… do the work.
The Middle Is Getting Squeezed
Think about it: if one AI agent can do the work of five junior analysts, companies don’t just cut payroll – they cut software licenses too. Why pay for five Salesforce seats when an AI can directly access your database and run the whole workflow?
This is hitting the “middle layer” hardest – those horizontal SaaS platforms that are basically fancy intermediaries between humans and databases. Companies like LegalZoom and Unity Software that built their empires on broad, seat-based adoption are feeling the squeeze first.
Meanwhile, the big dogs like Palantir (PLTR) with their deeply embedded, mission-critical systems might survive. But everyone else? They’re in for a rough ride.
The Creation Moat Is Crumbling
Google’s Project Genie just demonstrated something wild – you can now generate entire video games from text prompts. High-fidelity environments, created in minutes instead of months.
Translation: the barrier to building sophisticated software just collapsed. If small teams can spin up production-grade tools in days, why would anyone pay premium prices for legacy software?
Follow the Money (It’s Going to Hardware)
While software companies are having an existential crisis, hardware makers are printing money. Nvidia (NVDA) is posting record revenues with 70%+ gross margins. Micron (MU) is investing heavily to break AI memory bottlenecks.
The math is simple: AI is infrastructure-heavy. Massive data centers need GPUs, memory, and storage. Companies like Seagate (STX) are rallying as AI models get bigger and hungrier for data.
Meanwhile, software giants like Salesforce (CRM) and Adobe (ADBE) face an impossible choice: integrate AI and cannibalize their seat-based revenue, or ignore it and become irrelevant.
The Smart Play
We might have a 12-24 month window where infrastructure beneficiaries surge before broader economic disruption kicks in. The capital rotation from software to hardware is already happening – the question is whether you’re positioned on the right side.
The Luddites smashed the looms in 1812 because they saw what was coming. Today’s “looms” are humming again, but this time they’re rewriting the entire economy.
The machines aren’t just making cloth anymore – they’re making software obsolete.