For years the venture playbook in managed services was simple: build software, sell it to MSPs, let the MSPs deal with the customers. That is how you get a $5B endpoint management company and a $1.5B+ security vendor sold largely through MSPs.
In 2025 a different play showed up. General Catalyst, one of the largest venture firms in the world, backed a company called Titan with $74M. Titan does not sell software to MSPs. It buys them.
The old play and the new play
The logic of the old play was margin arbitrage at the vendor level. MSPs run on thin service margins, so anyone selling them leverage in software form captures value without touching the messy service layer.
The new play inverts it. If AI genuinely automates a meaningful share of service delivery, then the cheapest place to buy that margin is not a software subscription. It is the MSP itself. Buy a service business at service-business multiples, install the automation, and the margin expansion belongs to the owner of the equity, not to a tool vendor charging per seat. I ran the unit economics of who keeps the AI savings in the security version of this exact question.
Titan is the clearest example: its first move after the raise was acquiring RFA, a New York IT services firm with roughly 250 people. That is a platform acquisition, not a tuck-in. And from what I see in the market, it is not alone; at least one more team is forming around the same thesis, still quiet.
Emergence Capital published a playbook for exactly this category, which they call AI-native services. Their most interesting warning: do not acquire too early. Prove the AI leverage on your own delivery first, or you become a conventional services firm with a venture balance sheet. Whether the current entrants respect that sequencing will decide how the first wave performs.
Why MSPs, specifically
Of all the services categories AI investors could roll up, managed IT services keeps coming up. The reasons are structural.
The revenue is contractual and recurring, which private equity trained everyone to value. The work is ticket-shaped: discrete, logged, categorized, and full of repeatable patterns, which makes it unusually legible to automation. Vendors in the MSP tooling market already claim a meaningful share of routine tickets resolved without a human. And the market is enormous and fragmented: channel analysts put global managed services revenue near $595B, spread across tens of thousands of small firms whose main moat is the client relationship.
Add the fact that the traditional buyer pool was already deep. Omdia counted 169 MSP acquisitions in 2025, with private equity in roughly 69 percent of disclosed deals. The consolidation machine was running before AI arrived. AI just changed what a buyer can do with the asset after closing.
What the new buyer changes
If you own an MSP, the practical question is how this shifts your exit, whether you plan to sell next year or never.
The underwriting changes. A private equity buyer prices your business on current cash flow and cost synergies. An AI-native buyer prices it on what your margin could become after automation. Same business, different math. That is the new buyer's thesis rather than a repriced market, but in a competitive process even one bidder using different math changes the outcome.
Diligence changes with it. The new buyer cares less about your org chart and more about your data: ticket history, documentation quality, standardization across clients. An MSP with clean, well-categorized service data is literally easier to automate, which makes it worth more to this buyer. Messy operations always discounted a sale. Now they discount it twice.
The competition for deals is uneven. The funded AI-native buyers can be counted on one hand today, against a traditional buyer pool that did 169 deals last year. This is an early signal. But early signals in consolidating markets tend to compound.
There is a structural reason this capital shows up as buyouts rather than growth rounds: VCs fund the tools sold to MSPs, not the MSPs themselves.
What I would actually do
Three things, none of which require believing the hype.
First, run your shop as if a buyer will ask for your ticket data, because eventually one will. Standardize categories, document resolutions, kill the tribal knowledge. This pays for itself in operations even if you never sell.
Second, watch what the AI-native buyers acquire next. Multiples rarely go public, but target profile, size and positioning do, and they tell you what the new math values.
Third, be honest about which side of the automation you are on. If a funded buyer can run your service book at materially better margin than you can, your durable advantages are the things AI does not touch: client trust, local presence, and specialized compliance work like CMMC. Deepen those.
The tools market told this story first. A billion dollars of venture money flowed into MSP software between 2021 and 2025, and I mapped where it went in a separate post. The capital moving from the tools to the MSPs themselves is the logical next chapter.