For most of the SaaS era, enterprise software didn't make people more productive — in fact, it was often a tax on the people using it.
Take Salesforce. Think about what it actually does for the individual sitting in front of it. It creates records. It enforces process. It generates reports — for the manager, for the forecast, for the board deck. Time spent feeding the system was time away from selling. The individual absorbed the cost; the organization captured the benefit. That was the architecture of almost every major enterprise software platform built over the last two decades.
It produced enormous companies. But for all that IT spend, productivity gains were surprisingly modest — a fact borne out by study after study. Software got better at tracking work. It didn't get much better at doing it. That gap limited how much those companies could ultimately charge.
AI-native software clearly increases the productivity of individuals and their companies — and the ACVs it commands are starting to demonstrate that.
The AI-native software companies I encounter across areas such as financial services, life sciences, and manufacturing are commanding two to four times the ACVs of the legacy software they're replacing. That's not a rounding error. That's a structural shift in what software is worth.
The mechanism is straightforward. When software helps the individual do their job — actually helps them, not just tracks them — the value becomes measurable. A tool that helps a sales team identify twice as many qualified leads is a revenue tool. A platform that automates FDA documentation that used to take weeks is a speed-to-market tool. Software that monitors and optimizes a manufacturing line in real time is a margin tool.
When you can measure what the software produces, the procurement conversation changes. You're not negotiating a workflow tool. You're negotiating a share of the outcome. And as that value compounds — more leads converted, more filings completed, more lines optimized — ACVs expand with it. That's what leads to larger companies than the SaaS era produced.
Which brings me to the bigger point.
SaaS was a better delivery mechanism than packaged software. It lowered deployment costs, improved update cycles, made software accessible to companies that couldn't afford enterprise licenses. Real benefits. But the underlying value proposition — software as a system of record, useful to the organization more than the individual — didn't change.
AI-native software changes the value proposition entirely. For the first time, the software is worth more to the person using it than to the person who bought it. ACVs scale with the outcomes delivered. And companies built on that foundation — where pricing follows value rather than headcount — will compound into larger outcomes than the SaaS era produced.
