
43 pages of operator-grade intelligence on the AI Agents market: TAM, 50 vetted ideas, competitor map, pricing playbooks.
The Verdict, in 4 numbers
Cross-checked numbers from Gartner, McKinsey, a16z and CB Insights.
The Paradigm Shift
Reactive single-turn assistants. Human as bottleneck. Productivity stuck at 12–15%.
Proactive single-domain actors. Tool-use, chain-of-thought, multi-step task execution.
Heterogeneous specialist agents (Planner · Coder · QA) executing async business processes.
Chapter 2 · Market Landscape
Source: IdeaProof Proprietary Sizing · Gartner Hype Cycle 2025
The Reshuffling
Native agentic orchestration is now the default nervous system for F500 ops.
Claude's Computer Use bypassed APIs and unlocked legacy GUI control.
Commoditized tier-1/2 support, extracting margin from offshore BPO.
Stuck in the deterministic trap. Brittle bots can't reason.
Low/mid-tier knowledge work absorbed by open-source agent swarms.
Per-seat pricing toxic to CFOs migrating to outcome-based platforms.
McKinsey, 2026
Gartner, 2025
European Commission, 2025
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Chapter 1 · Executive Summary
The enterprise has completed an aggressive transition from human-in-the-loop to human-on-the-loop. AI is no longer a reactive software feature — it is an active workforce layer. Deterministic RPA is officially crumbling under non-deterministic, self-healing, goal-seeking agentic systems.
"By mid-2026, 22% of all enterprise knowledge-worker workflows will be fully autonomously executed by agents."
McKinsey, 2026
1 of 45 pages — buy to unlock the full brief
Geographic Split · 2026
Foundation models + Tier-1 VC concentration
LAMs in robotics, supply chain, e-commerce
EU AI Act → Agentic Governance wedge
Methodology
Cross-checked against
For operators, not analysts
Every chapter is written around a single question: what do you do with this information on Monday morning?
Explicit kill-criteria on every one of the 50 ideas. No fluff — just clean go / no-go signals.
12 real pricing teardowns — per-seat, per-action, hybrid, outcome-based — with estimated gross margins.
10 detailed post-mortems: what they built, where it broke, what you can apply on Monday morning.
A week-by-week action plan for solo founders or a two-person team with one technical co-founder.
See inside
Real pages, no mockups. Click any to zoom.
Table of contents
Verdict, market signal, headline numbers
3 pages
TAM, SAM, growth curves, segment heatmap
5 pages
Each with TAM, moat, kill-criteria, go/no-go
12 pages
Funding, traction, pricing, weak spots
4 pages
10 AI agent post-mortems, what to NOT build
4 pages
Per-seat vs per-action, 12 pricing teardowns
4 pages
Vertical, PLG, marketplace — when each works
3 pages
EU AI Act, US, liability, data residency
3 pages
For solo founders shipping their first agent
3 pages
Methodology, data sources, glossary
2 pages
Built different
Verifiable citations. Every number links back to a primary source — filing, press release or vendor page.
No idea is described without telling you the exact signal that should make you walk away.
A compliance map for every vertical: what you need, by when, and roughly how much it costs.
Top-25 players with funding, estimated traction, public pricing, weak spots and concrete attack angles. Not a chart — a battle map you can act on.
Comparison
We benchmarked it against the two things founders actually read instead: enterprise analyst decks and free industry newsletters.
| What you're looking for | This report | Gartner / IDC | Generic newsletters |
|---|---|---|---|
| Ideas with explicit kill-criteria | 50 | ||
| Real pricing teardowns (with margin estimates) | 12 | 1–2 | |
| Post-mortems with root-cause analysis | 10 | 1–3 | |
| 30 / 60 / 90 day action plan for founders | |||
| TAM / SAM / SOM with cited sources | |||
| EU AI Act compliance map | partial | ||
| Price | €39 | $10k+ | $0–$50/mo |
| Written for founders who ship |
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FAQ
45 pages. 50 vetted ideas. 12 pricing teardowns. 10 post-mortems. Instant PDF. Lifetime access. €39.