AI isn't making software cheaper. It's making outcomes ownable.

HubSpot changed what software means. Here's where it leads.

This past April, HubSpot started charging fifty cents for every conversation their AI actually resolves. They aren’t the first, either. A few others, including Zendesk and Intercom have already headed in that same direction.

When you stop and think about it, that’s a huge shift. You aren’t just paying to use a tool anymore; you’re paying because a customer’s problem actually got fixed. Software is moving away from just selling you access and moving toward taking real responsibility for the results.

According to the Gartner/Deloitte TMT Predictions 2026, per-seat SaaS models dropped from 21% to 15% of the market over the last year. That’s not just some rounding error – the market is actively repricing what software is actually worth.

And it’s signaling a much bigger shift.

The Chain Reaction

AI goes way beyond just cutting dev costs; it’s a fundamental reset. AI amplification of human output does more than increase speed; it unlocks the ability to personalize at scale, leading to outcome ownership, better value capture, and ultimately, the rise of vertically integrated businesses.

Historically, companies felt forced to choose: you could offer deep customization, which required a massive headcount, or chase scale through standardization. It was always a trade-off. Now, AI is blurring those lines.

As software takes on more of the heavy lifting, the economics of the value chain are fundamentally shifting. Companies can move closer to the customer’s end goal, capture more of the value they create, and in some instances, reinvent industries from the ground up. The recent change in HubSpot’s pricing is just the starting gun for this shift.

Regulation Is the Moat

Regulated industries are where the best AI bets are hiding. Sales cycles are brutal. That friction compounds into an advantage — once you’ve earned clinical or fiduciary trust, retention is structural, not contractual.

Look at Range in wealth management. Clients aren’t buying software; they’re handing over their financial lives. Sure, the sales cycles are brutal, but that friction is actually a competitive advantage. Once you’ve earned that kind of trust, you’re not going anywhere. You’re sticky in a way standard SaaS never will be.

It’s the same with Qualified Health. Their advantage isn’t a ‘better’ model—everyone has the same tech now. They win because hospital systems trust them with real clinical work where the stakes are life and death, not just data entry.

Stop seeing compliance as a burden. It’s your barrier to entry. AI might write code faster, but it can’t accelerate trust. That’s the real work, and that’s how you build a business that actually lasts.

Customers Want Results, Not Software

CX platforms like Sierra and Decagon sell outcomes. The software is how they deliver; the result is what they charge for. The question customers are asking has changed. Not ‘what does the software do’ but ‘did my problem get solved, and what did it cost me. The software is just the plumbing; the result is what they’re paying for.

HubSpot’s pricing shift is the writing on the wall. When you charge per resolution, you’re ditching the ‘tool’ label and taking responsibility for the outcome.

Two businesses can have the exact same revenue, but entirely different futures depending on how close they are to the money. One just gives you a hammer; the other builds the house. That difference is everything.

The Real Metric: Value Capture

Standard metrics like ARR and NDR are fine for keeping score, but they aren’t the whole story for AI-native companies.

If you save a client $1B and take 1% of it, you’ve got a very different business than someone who saves $1B and captures 20%. The question isn’t ‘what’s your ARR?’ It’s ‘what percentage of the value you created are you actually keeping?’

Take legal services. The standard move is selling a tool to law firms. But the AI-native move asks: if technology is doing the heavy lifting, why not just be the law firm?

Firms like Crosby are asking whether we should rethink the institution itself, not just the software it runs on. We should stop asking ‘how do we help lawyers work faster?’ and start asking ‘who owns the client relationship when the software does the work?’

What This Means for the Future

Venture capital used to love ‘asset-light’ businesses because adding service or customization meant hiring more people and killing your margins. AI changes the math.

Because productivity is skyrocketing, companies can go much deeper into the workflow and deliver the outcome themselves without ballooning their headcount. The old arguments about scaling and integration no longer hold water.

The winners of the next decade won’t look like the SaaS giants of the last one. They’ll be right in the thick of the workflow, vertically integrated, and capturing much more value than anyone thought possible.

Investors used to love selling picks and shovels. Maybe it’s time to start owning the mine.

Who in your industry is closest to owning the outcome right now - and what’s stopping everyone else from getting there?