In the six months between August 2025 and February 2026, roughly two trillion dollars came off the S&P 500 Software & Services Index. Twenty percent of the index value, gone in half a year. The repricing was not a panic. It was the market working through a slow reassessment of what software is worth when the things that made it defensible stop being scarce.
Three SaaS moats are eroding at once
Three assumptions got repriced at once. Software is no longer hard to build, because anyone with technical capability can replace a SQL wrapper on a billing system in a weekend with Claude Code. Seat expansion is no longer durable, because agents are starting to do the work that used to require a human at a license. Feature and interface moats, the workhorse of SaaS competitive dynamics for fifteen years, are commoditising as agents render the interface itself optional. These are not three small adjustments. They are the structural reasons SaaS multiples sat where they sat, and all three are eroding at the same time.
The market noticed first in the asset prices. The product community noticed first in the churn data. Cloudstar's analysis of the AI-wrapper category found 65 percent customer churn within ninety days, against a SaaS baseline closer to thirty-five. AI wrapper startups now need 3.2 times the capital to reach profitability that traditional SaaS companies needed at the same stage. The phrase that captures it best is Cloudstar's own: AI wrappers were never products, they were features, and features get absorbed by platforms.
Services-as-software is what comes next
So what comes next.
The framing that names the answer is services-as-software. Foundation Capital coined the term in early 2024. Sequoia made it the title of a landmark piece in March 2026 (Services: The New Software, by Julien Bek). Bessemer wrote the playbook for vertical AI variants of it in January 2026. The argument across all three is the same one. The customer never wanted the tool, the customer wanted the work done. The 2010s SaaS playbook sold the tool because that was the only thing the technology could deliver. The 2026 playbook sells the outcome, because that is what AI delivery now makes possible.
The labour TAM behind the shift is six times the software TAM
The TAM math behind the shift is the part that surprised most public-market investors. Sequoia's framing is six dollars of services spending for every one dollar of software spending. General Catalyst's Marc Bhargava puts it at sixteen trillion in services versus one trillion in software, a ratio of fifteen times. Foundation Capital's headline number is the four-and-a-half trillion services TAM their original April 2024 piece coined. The point is not the precise multiple. The point is that the market software was eating in 2015 was less than a sixth of the market AI is now positioned to eat, and the strategies built for the smaller market are not the strategies that capture the larger one.
Which SaaS is dying, and which is not
This does not mean every SaaS company is dying, and it is worth being precise about which ones are.
The defensible SaaS businesses are not getting replaced. Salesforce, ServiceNow, Snowflake, Stripe, the companies whose moat is proprietary data, regulatory positioning, deep integration into a customer's systems of record, or a network effect that compounds with use, are absorbing AI as a layer on top of their existing surface, the way they absorbed mobile in 2012 and the API economy in 2015. The SaaS CFO's framing is the right one: SaaS is separating defensible from convenience-based, and the data moats become more durable in an AI world rather than less, because agents without proprietary context are far less valuable than those with it.
The SaaS that is dying is the convenience-based middle layer. The marketing automation tool whose differentiator is a scheduling UI. The prospecting platform whose value is a database of phone numbers. The workflow point solution that automates a single step of a five-step process and charges fifty dollars a seat for the privilege. These are the AI-wrapper churn cases. These are the categories where seat-based pricing becomes incoherent the moment an agent at the customer's end can do the work without occupying a seat. SaaStr's framing for the category is uncompromising: your AI is not your moat, your AI is table stakes, and the moat has to come from somewhere else.
Where the moat comes from in a services-as-software world
Where the moat now comes from is the question worth taking seriously.
In a services-as-software world, the durable competitive positions look more like the positions services firms have always held than like the positions SaaS firms held. Vertical depth, the kind that comes from doing the work in a specific industry for years, building proprietary data and pattern libraries that nobody outside the vertical has. Embedded delivery teams, engineers in the customer's environment, accountable for outcomes, surfacing the unwritten rules that nobody could specify in advance. Outcome-aligned pricing, the only structure where vendor and customer share exposure to whether the agent actually works. Network effects that come from aggregating outcomes across customers in the same vertical. None of these look like the SaaS playbook.
Bessemer's vertical AI piece names this directly. Vertical AI TAM, they argue, is roughly ten times the combined market cap of the top twenty public vertical SaaS companies. The reason is mechanical. Vertical SaaS sold software into a software budget. Vertical AI sells outcomes into a labour budget, and the labour budget is an order of magnitude larger.
The honest version of the argument is therefore narrower than the headline. SaaS is not dying. The SaaS playbook of the 2010s is dying. The companies that will define enterprise software in the 2030s will not look like the SaaS companies that defined it in the 2010s, because they will be priced differently, sold differently, delivered differently, and built around a different unit of value. The next decade's category-defining company in the sales-tooling category will not be a CRM. It will be the company that sold the sales work, with software as the substrate underneath.
That is what the title means. SaaS as a model is dying. Services-as-software as the model that replaces it is rising. The two are not the same business at all.