The ugly economics of consumer AI

The excitement surrounding consumer-facing AI is clashing with the harsh reality of operational costs. Even as models become more sophisticated, the expense of running continuous inference, coupled with the difficulty of achieving high user retention, has made many B2C AI products financially unsustainable. Frontier labs are increasingly hesitant to push consumer tools, realizing that the high compute overhead often outpaces the revenue generated from subscription fees, leading to a shift toward more profitable enterprise-grade applications.