Episode 836 | The 5 A.I. Moats Acquirers Value Most

Is your SaaS actually protected from AI disruption, or are acquirers walking away without even looking?

In this episode, Rob Walling talks with Einar Vollset of Discretion Capital for a front-lines SaaS M&A market report, covering how the acquisition climate has shifted since 2021, why some PE firms now require at least one AI moat before they'll even look at a deal, and a breakdown of all five moats: hardware-software coupling, two-sided network effects, communication graph embeds, proprietary data with closed feedback loops, and operational switching costs.

Topics we cover:

(2:05) – State of SaaS M&A from 2020 to today

(5:49) – Why 2021 was the best time to sell

(7:38) – How the 2022 downturn raised the acquisition bar

(8:59) – The SaaS apocalypse narrative and AI FUD

(12:26) – Why bootstrappers should care about exit markets

(15:52) – AI moat #1: Hardware-software coupling

(17:38) – AI moat #2: Marketplace scale and two-sided network effects

(20:05) – AI moat #3: Communication graph and relationship embed

(21:27) – AI moat #4: Proprietary data with closed feedback loops

(23:20) – AI moat #5: Operational embed and switching costs

(27:28) – Some PE firms now require at least one moat

(29:23) – AI-native SaaS faces even higher hurdles

Links from the show:

MicroConf Connect Next Live Session: Jim Zarkadas on User-Friendly Onboarding (June 17)

TinySeed

MicroConf YouTube

The SaaS Playbook

Discretion Capital M&A Guide

Fiscal.ai

DealForma

BuiltWith

ZyraTalk

EverCommerce

Einar Vollset (@einarvollset) | X

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