Arcteligent // classified teaser

The next layer of work is already rewriting itself.

This isn’t a product tour. It’s a field brief: the numbers that should unsettle anyone still treating AI like a bolt-on chatbot. Scroll the tunnel. Leave an email. What’s assembling stays veiled — for now.

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ARC—TELIGENT.AI

Scroll to scrub the feed — video, ink, and layout move as one. Forward and back.

Be first when the veil lifts.

No product pitch here — just a quiet list. Drop an email for the reveal. Sparse notes. No spam drip.

$37B · 88% · ~6% · 23% scaled agents. The climate is loud. Most stacks are still underdone.

// 01 The spend shock

$37B in one year — 3.2× YoY

U.S. enterprise GenAI jumped from ~$1.7B (2023) to ~$37B (2025). Apps already ~6% of software spend — the fastest category climb on record. Most boards still budget like it’s a pilot.

// 02 The impact gap

88% “use AI.” ~6% redesign work.

Near-universal adoption hides a brutal truth: only a thin slice rewires process. Everyone else bolted a model onto yesterday’s workflow — and wonders why EBIT barely moved.

// 03 Agents leave demo

23% scaled. 39% experimenting.

Copilots were the trailer. Agentic systems that perceive, decide, and act are entering production — while most org charts still treat AI as a side tab.

Market climate ≠ vapor deck. Tap the blocks — sourced intel opens in place.

Field intel // live numbers

Updated 2025–2026 · tap to open

The climate this teaser sits inside — Menlo, McKinsey, Stanford HAI. Sourced, recent, not pitch-deck padding.

A teaser — not a catalog. The numbers should sting.

Arcteligent isn’t listing what’s live. This surface is atmosphere + field intel + a notify list. What’s coming stays behind the veil until it doesn’t.

Enterprise GenAI ~$37B in 2025 (3.2× YoY). Orgs “use AI” at 88% — only ~6% redesign the work. Coding eats ~55% of departmental AI app spend. Agents: 23% scaled, 39% experimenting. Capital followed: AI took ~61% of global VC.

$37B GenAI 88% adoption ~6% high performers Notify list open
  • Budgets tripled in a year — most org charts still treat AI like a side experiment.
  • Coding proved ROI first (~55% of dept. AI spend). Everything else is racing the same pattern.
  • 76% buy / 24% build in enterprise GenAI — startups now own most app revenue.
  • GenAI hit ~53% population adoption in ~3 years — faster than PC or early web. Habit formed before systems did.

Briefing cards

Pop-ups · sourced

Open a card for the full note — market facts you can skim in under a minute.

SCAN FIELD // tap a node

End of the bore. Scroll up to reverse the feed — the numbers don’t get quieter either way.