Sequoia partner argues AI's future is selling outcomes as managed services, not selling software — reshaping how companies monetize AI

Julien Bek, a partner at venture firm Sequoia Capital, published an influential essay proposing that AI-native service firms (companies that use AI to deliver specific business results for clients) will generate more value than AI software product companies. Instead of selling an AI tool that customers operate themselves, these firms would charge clients for concrete outcomes — like a guaranteed reduction in customer service costs or faster loan approvals.

The shift matters because service-based AI changes who bears the risk and who captures the value. When you buy AI software, you pay upfront and hope it works for your use case; with outcome-based services, the AI company gets paid only when results hit targets, meaning they invest their own resources into making it work reliably for your specific business.

For business leaders evaluating AI investments, this signals a new contracting model worth watching: instead of hiring AI engineers to build custom systems, companies could hire AI service firms on performance contracts, trading upfront capital for outcome guarantees. Consulting firms and systems integrators are already exploring this model to compete with pure software vendors.