The Cost of Software Just Hit Zero

Salesforce charges $300 per user per month. That model made Marc Benioff a billionaire and basically invented the unit economics for the entire B2B SaaS industry.

AI agents just broke that math.

If one employee using agents does the work of ten, companies hire fewer people. Fewer people means fewer seats. Fewer seats means SaaS revenue shrinks — not because the customer left, but because they got more productive. Your product worked. Your revenue went down.

That's one of four shifts I've been watching play out in real time. Where they all land is worth thinking about.

KB

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1. Per-seat pricing is dying

The whole B2B software economy is built around selling licenses per human. Salesforce, Adobe, Slack, Jira, Figma — every one of them prices by the seat. The logic made sense: more employees using the tool, more revenue. Growth tracked headcount.

Agents invert that.

Klarna replaced 700 customer service reps with AI. Headcount dropped. Productivity held. Wall Street cheered. Every SaaS vendor selling into Klarna just lost 700 seats of revenue.

Multiply that across every enterprise on the planet and you see the problem. Customers aren't churning. They're shrinking. And your revenue shrinks with them.

Whoever figures out outcome-based or compute-based pricing first wins. The seat model is done.

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2. Intelligence is becoming a commodity

Two years ago OpenAI had a six-month lead on everyone. That lead is gone.

Meta's Llama. Mistral. Alibaba's Qwen. DeepSeek. The open source models aren't just catching up — on a lot of benchmarks they're matching or beating the best proprietary stuff. The gap between what you pay for and what you can run yourself for free is collapsing every month.

You can't build a moat by wrapping an AI model in a nice interface anymore. The first wave of AI startups learned this the hard way. Thin wrappers around GPT-4, insane valuations, margins evaporating as the underlying model got cheaper. That story is mostly over.

And the AI providers aren't staying in their lane. When Anthropic shipped a Claude plugin for legal work, Thomson Reuters dropped 16% and RELX dropped 14% in a single day. One plugin. Two of the biggest legal tech companies in the world lost billions in market cap overnight. The incumbents are scrambling to figure out what their actual moat is.

The big enterprises will eventually self-host to keep data private and cut costs. Everyone else will rent. The companies that control that rental market become the new utilities.

The value proposition of "our AI is smarter" is fading. The value is moving to the workflow around the AI — how you route tasks, manage context, apply domain knowledge. The model is a commodity. What you build around it is what matters now.

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3. Knowledge work is shifting from execution to orchestration

The fundamental unit of knowledge work is changing. It used to be doing the task. Now it's defining the task and checking whether the output is right.

I've been living this for over a year. Two platforms, one engineer. I write a spec — what the system should do, not how. Constraints, edge cases, what success looks like. Hand it to an agent. One pass. Full implementation. Then I verify the output against the spec. The spec is the actual work. Writing code stopped being the job a while ago.

This is not a side project workflow. This is how I ship production software every day. One spec, a bug fixed in under an hour, deployed across four products. I didn't write a single line of the fix.

Any knowledge worker who produces artifacts — reports, contracts, designs, analyses — can operate the same way. Define the outcome, hand it to an agent, verify the result. The domain changes. The pattern doesn't.

The most valuable tools of the next five years won't be the ones that help you execute faster. They'll be the ones that help you coordinate agents working in parallel. Old tools were built for humans who do the work. The next generation is being built for humans who govern it.

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4. Software is becoming disposable

Vibe coding started as a joke. It's now the fastest way to ship.

Describe what you want, AI writes the code, you review and adjust. What took a week takes an afternoon. But the part most people haven't thought through is what happens when that's true for everyone — not just engineers.

A marketing manager who needs a custom analytics dashboard doesn't have to file a ticket anymore. They describe what they want and get a working app in thirty minutes. A researcher who needs a one-off data pipeline doesn't hire a contractor. They build it, run it once, throw it away.

Software as a tissue, not a product.

Think about who this hits. Low-code platforms. Agencies charging $50k for a marketing site. Consulting firms billing $200/hour for integrations. Engineering teams that take six months to ship what one person with agents ships in a week.

When the cost of creation hits zero, the only value left is knowing what to create.

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Where this lands

These four things aren't independent. They feed each other.

Per-seat pricing dies because agents reduce headcount. Intelligence commoditizes because open models keep closing the gap. Knowledge work shifts from execution to orchestration because the work itself changed. Software becomes disposable because generating it got nearly free.

Follow all of it to the end and you end up at the same place: the cost of building software is trending toward zero.

That has one real implication for anyone building, selling, or investing in tech right now. The value is moving away from creating software and toward governing autonomous systems. Writing a clear brief for an AI agent is more valuable than being able to do the work by hand. The moat isn't the code. It's the judgment behind it.

I've been building into this reality for over a year. Still figuring it out. But if you're not thinking about where you fit in this shift, now is a good time to start.