Inside General Catalyst’s $1.5B AI Roll-Up Machine
Sourcery
Metrics for roll-up performance
Marc lists key metrics: percent automation, EBITDA margin expansion, acquisition multiples, dilution, and founder ownership.
Marc Bhargava, Managing Director at General Catalyst and head of the firm’s Creation Strategy, breaks down one of the most significant shifts happening inside venture and private markets today: AI Roll-Ups.
One of the 3 largest venture players with ~$40B AUM, General Catalyst has quietly built a $1.5B AI roll-up engine dedicated to incubating AI-native companies & acquiring the fragmented services businesses they can transform — a model that sits directly at the intersection of venture creation, operational transformation, & what has traditionally been the realm of private equity.
Marc explains why the firm believes the global services economy (a $16 trillion market historically defined by low margins and slow modernization) is now on the verge of being reshaped. Not by traditional software, and not by classic PE rollups, but by AI-enabled companies that combine in-house automation software with the acquisition of real distribution. These companies, built initially inside GC’s Creation Strategy, have already begun doubling EBITDA margins within 12 months, demonstrating what becomes possible when AI automation frees 20–30% of repetitive tasks and allows teams to handle significantly greater throughput.
The conversation goes deep into how GC selects industries for this strategy, mapping 70 services categories down to the 10 where AI can have the most immediate impact. Marc outlines the 4 categories of work AI now reliably automates, from customer service and data entry to content generation and early-stage reasoning, and how those capabilities form the backbone of portfolio companies like Crescendo, Long Lake, Titan MSP, Eudia, & others.
Marc Bhargava: https://x.com/marcbhargava
Molly O’Shea: https://x.com/MollySOShea
Sourcery: https://x.com/sourceryvc
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