Venture capitalists have convinced themselves they’ve found the next big investing edge: using AI to wring software-like margins out of traditionally labor-intensive services businesses. The strategy involves acquiring mature professional services firms, implementing AI to automate tasks, then using the improved cash flow to roll up more companies.
Leading the charge is General Catalyst (GC), which has dedicated $1.5 billion of its latest fundraise to what it calls a “creation” strategy that’s focused on incubating AI-native software companies in specific verticals, then using those companies as acquisition vehicles to buy established firms — and their customers — in the same sectors. GC has placed bets across seven industries, from legal services to IT management, with plans to expand to up to 20 sectors altogether.
“Services globally is a $16 trillion revenue a year globally,” said Marc Bhargava, who leads GC’s related efforts, in a recent interview with TechCrunch. “In comparison, software is only $1 trillion globally,” he noted, adding that the allure of software investing has always been its higher margins. “As you get software to scale, there’s very little marginal cost and there’s a great deal of marginal revenue.”
If you can automate services business, too, he said – tackling 30% to 50% of those companies with AI, and even automating up to 70% of those core tasks in the case of call centers – the math begins to look irresistible.
The game plan seems to be working. Take Titan MSP, one of General Catalyst’s portfolio companies. The investment firm provided $74 million over two tranches to help the company develop AI tools for managed service providers, then it acquired RFA, a well-known IT services firm. Through pilot programs, says Bhargava, Titan demonstrated it could automate 38% of typical MSP tasks. The company now plans to use its improved margins to acquire additional MSPs in a classic roll-up strategy.
Similarly, the firm incubated Eudia, which focuses on in-house legal departments rather than law firms. Eudia ha …