The Software Value Equation Has Been Rewritten

AI has rewritten the software value equation. Not in the way founders hoped, not as a moat, but as a weapon against their own competitive advantages. Features that took quarters to build get approximated in weeks. Platforms that cost millions now cost hundreds of thousands.

Lane Gordon, 733Park CEO, said it plainly on the Merchant Sales Podcast: "Value is like the sun, a decade ago it shone on legacy payments, then ISVs, then vertical SaaS, now AI." That is not poetry. That is a three-decade shift in what buyers will pay for.

The founders who command premium exits, 6x or more revenue multiples instead of 2x, are not the ones with better dashboards. They are the ones with something AI cannot mass-produce: sticky customers, proprietary data, and defensible distribution.

The Commoditization Trap

Most SaaS founders built their moat on features. Faster reporting. Better UX. Smarter workflows. These were legitimate advantages in 2018. They work differently now.

AI can mimic features faster than you can ship them. Your six-month roadmap becomes your competitive vulnerability. A well-funded competitor, or a large platform with AI baked in, can offer 80% of your functionality to 80% of your customer base in weeks, not quarters.

This is not hypothetical. It has already happened in reporting (Looker became a feature of Google Cloud), customer support (Intercom lost price power to AI chatbots), and content workflows (templating software got absorbed by Claude and ChatGPT capabilities). The cost to build these tools dropped by 10x. Buyers know it.

If your competitive advantage is "better features," it is eroding monthly.

What Still Holds Value

Not all SaaS is collapsing. Four categories still command premium multiples:

Sticky customer base with switching costs. If your customers built workflows around your product, integrated it into their ops, trained their teams, and made it mission-critical, they will not rip it out for a cheaper feature clone. Switching costs are the oldest moat in software. They still work.

Defensible niche vertical with real depth. Generic workflow software is exposed. Specialized software in deep verticals, with domain constraints, regulatory requirements, or industry-specific data models that only you understand, is harder to replicate. A compliance platform for dental practices is different from "compliance software." The specificity creates durability.

Proprietary data and relationships AI cannot crawl into. If you own normalized datasets in your vertical, or you have built distribution that reaches 40% of your addressable market through trusted channels, those are defensible. Data is expensive to reproduce.

Durable payment revenue versus software fees alone. If your model includes take rates, transaction fees, or payment processing, revenue that compounds with customer growth, you are harder to replace. Feature software generates fixed fees. Transaction software generates variable revenue that grows with customer success. Buyers prefer the latter.

The Window Is Narrow

Here is the timing problem most founders ignore: the best time to sell is while growth is accelerating, not when you have "optimized" the business.

Double-digit growth rates command premium multiples. When growth is 20% or more year-over-year, strategic buyers and PE firms treat it as a compounding asset. The multiple they pay is 6x to 10x revenue in the right categories.

When growth decelerates, 20% to 15% to 8% to 5%, multiples compress fast. Not linearly. Exponentially. A 5-point drop in growth rate can collapse valuation by 30 to 40%. The difference between a $100M and a $70M exit is often not the business. It is the timing.

For fast-moving categories (vertical SaaS, compliance tech, vertical AI), you have a 6 to 18 month window. After that, the growth profile changes, and the buyer's perception changes with it.

I have worked with angel investors evaluating SaaS deals through AIN for over a decade. The difference between founders who sold at peak growth and those who waited is stark. The ones who waited convinced themselves the business would compound forever. It does not. It plateaus. And when it does, the math inverts.

The Sale Process Matters

How you sell affects the price as much as what you are selling.

An unsolicited one-to-one conversation with an acquirer anchors the negotiation low. The buyer names a number. You counter. You split the difference. This is how most SaaS founders sell. It typically lands 15 to 25% below market.

A competitive professionally-run sale process keeps buyers honest. Multiple bidders drive price up. A banker or M&A advisor who has run these processes knows the buyer's internal thresholds. You get closer to fair value.

CT Acquisitions' 2026 IBBA data shows it clearly: founders with 3 or more years of exit preparation closed within 5% of their asking price. Founders who decided to sell six months earlier landed 20 or more points lower.

Defending What Matters Before You Sell

If you are still building, here is what to focus on:

1. Customer concentration and dependency. Document which customers would be hard to lose. Build switching costs intentionally, not through lock-in, but through integration, workflow embedding, and irreplaceability.

2. Proprietary data. If you collect normalized datasets in your vertical, protect and enrich them. Buyers want this. AI makes data more valuable, not less.

3. Vertical depth, not horizontal breadth. Generic software loses to AI. Deep vertical expertise, the kind you build by solving the same problem for 500 customers in the same industry, is harder to replicate. Choose depth. Defend it.

4. Distribution relationships. If 30% or more of your addressable market flows through trusted channels you control, document it. These relationships are expensive to build elsewhere.

5. Defensible unit economics at scale. If you have proven your model works with 50 or more customers paying six figures per year, that is defensible. If you are still at 10 customers and burning cash, you are waiting for something to change. It will not change at exit.

When to Walk Away

Not every SaaS business should be sold. Some should be built longer. Some should not exist.

If your growth is decelerating and you do not have stickiness, data, or vertical depth, keep building or wind down. The exit price will be disappointing, and the buyers circling are probably looking for distressed deals.

If you do have defensible assets and growth is still strong, the conversation is different. That is the window. Do not miss it.

> Doctrine Connection: Legacy matters more than lifestyle. The founders who command 9-figure exits are not the ones who optimized for monthly recurring revenue growth or chased feature parity. They are the ones who chose a vertical, dug into it for five years, built defensible relationships, and accumulated proprietary knowledge. That legacy, that durability, is what buyers pay for.

FAQ

Q: Is feature-based software worthless now?

Not worthless, just worth less. Features alone are not defensible anymore. If features are all you have, you are competing on cost and speed, and AI wins both. If features support a sticky product, defensible vertical, or data asset, they add value.

Q: What is the minimum growth rate to command a premium multiple?

Strategics and PE firms usually want to see 20% or more YoY growth for premium multiples (6x or more revenue). At 15%, you are mid-market. At 8%, you are looking at 2.5x to 4x depending on category and margin.

Q: Should I hire an M&A advisor?

If your business is 3 or more years old, growing, and you are considering an exit within 24 months, yes. The cost (typically 1 to 2% of deal value) is paid back in valuation recovery.

Q: How far ahead should I start exit prep?

3 years is ideal. You need time to document customer dependencies, clean up equity and cap table issues, establish consistent margins, and prove your model works at scale.

*Jeff Barnes, MBA has no personal position in any company, fund, or platform named in this article. demg.ai has no current commercial relationship with any party mentioned. demg.ai provides marketing education and systems consulting, not investment advice. Past performance does not guarantee future results.*