Trades Thesis: Blue Collar Work and AI Defensibility

The average home services business in Australia fits a consistent profile. Typically sitting in the $3M to $20M range in top line revenue, run by an owner who started in the trade, built a team over decades, and now manages operations largely on intuition. Margins tend to be acceptable on the surface, but real cost visibility at the job level is almost always absent, and the succession plan rarely extends beyond "figure it out later." The demographic picture reinforces this: the most common SME owner age in Australia has shifted from 45 to 50 in under two decades, and roughly a fifth of current owners are within five years of exit. Most of these businesses won't transfer to a strategic buyer. They'll wind down, and decades of accumulated local reputation, customer relationships, and licensed capability will disappear because nobody showed up with a structure to preserve them.

What makes these businesses interesting isn't just the buying window created by that demographic wave. It's that home services sits at a unique intersection where the core revenue is protected by gatekept process flows, licensing requirements, and physical skill that cannot be replicated by software, while almost everything else in the business, from quoting and dispatch to scheduling, invoicing, compliance tracking, and customer communications, consists of normalised processes that software handles exceptionally well. The trades themselves are defensible. The operational layer surrounding them has simply never been systematised because the cost of doing so was, until recently, prohibitive for a business of this size.

That cost has collapsed. Building fit-for-purpose CPQ, dispatch, job costing, and marketing automation no longer requires enterprise licensing budgets or six-figure implementation projects. The same AI capability curve that is repricing businesses built on cognitive intermediation dramatically lowers the opex required to run a professionalised home services operation, because the coordination work in these businesses, intake, scheduling, reconciliation, follow-ups, is structured and pattern-matchable by nature. Software doesn't replace the licensed technician on-site. It replaces the operational overhead that previously made scaling these businesses expensive and unreliable.

This is why home services benefits from a "software eats the world" thesis rather than being threatened by it. The defensible input, qualified tradespeople doing physical work under regulatory frameworks, remains scarce and gets relatively more valuable as cognitive work commoditises around it. The operational layer that constrained growth becomes cheap to deploy and reliable to repeat across a portfolio. The combination produces businesses with permanently defensible revenue, structurally lower opex, and scalability that was previously inaccessible at this end of the market.

The investment logic is a direct consequence. Acquire at owner-operator multiples where founders are exiting a business they built on relationships, deploy a unified operating platform that converts it from founder-dependent to system-dependent, and watch the margins shift from mid-teens to mid-twenties through operational leverage as the technology compounds what the business already does well. The exit reprices because the acquirer is no longer buying a founder and a phone but an operating system with instrumented workflows, predictable unit economics, and a commercial engine that scales independently of any individual's personal network.