Qwen Go, Muse and Manus: the economics of personal AI agents
A TMTPost analysis compares how three personal AI agents plan to pay for themselves: Alibaba's Qwen Go opened experience applications on Oct 13, with gray-test tasks ranging from car-maintenance quotes to negotiating flight-delay compensation with ticketing support, backed by Alibaba's opening of Taobao and Tmall's 4 billion-plus product catalog plus orders, logistics and after-sales, and April access to China Eastern search, booking, seat selection and check-in. The piece cites an Oct 12 Morgan Stanley model putting Meta's Muse at roughly $445 per user per year against about $70 in average annual revenue per global Meta user, with the $20 subscription tier, at $240 a year, covering only about 54% of cost; Citi projects Muse revenue above $27 billion by 2030, about $23 billion of it transaction-related with commissions over 80%. The author also notes Manus launched Flex on Sept 29, letting users bring their own model API keys and separating inference fees from execution service fees, and cites a 32% runtime-cost reduction for Cascade versus an older system in one test configuration.
Personal agents are easy to demo; whether new revenue, commissions and liability terms can cover execution costs will decide which ones last.