Jonathon's AI Wiki

AI Industry Research

3 min read

Authoritative industry reports and benchmark studies on the state of AI. Source material for strategy decks, policy framing, and sanity-checking vendor claims. Bias toward independent, data-driven reports (Stanford HAI, Epoch AI, McKinsey, OECD) over marketing-driven “state of AI” content.

Source Watch

  • inbox-refresh — Catalog of AI-industry newsletters subscribed via the single Kill-the-Newsletter aggregator at v7zv927a6l9yn2ynvexq@kill-the-newsletter.com. Four newsletters added 2026-05-09: The Neuron Daily (Grant Harvey + Matthew Robinson, 700k+ subs, daily Mon-Fri AI digest with strategic-insight framing); Finxter (Christian Mayer, 100k+ subs, vibe-coding + AI engineering tutorials with Python lean and lead-magnet ebooks); LLMs Research (Beehiiv, daily-stated but biweekly-observed digests of LLM research papers, may be near-dormant); AI Hustle (Jason Stewart, 8k+ subs, broad consumer-AI roundups, observed posts skew 2023-2024 era and likely low-frequency). Each entry carries a wiki-triage prior + recent-issue titles for compile-time fast-routing. The article serves as the “who is this newsletter and is its content worth ingesting?” lookup so future inbox-refresh runs don’t re-research per arrival.

Reports

  • Stanford HAI AI Index Report 2026 — 423-page flagship annual. 15 top takeaways spanning research, technical performance, responsible AI, economy, science, medicine, education, policy, public opinion. Key signals: 53% generative AI population adoption in 3 years, 88% org adoption, SWE-bench 60%→near-100% in one year, US-China model gap effectively closed, safety benchmarks lagging capability.
  • WalkMe State of Digital Adoption 2026 — “The AI Reality Check.” 3,750 participants, 41 pages. The Execution Gap: 142M/yr cost of digital inefficiency. Shadow AI: 45% using unapproved tools. Executive-employee perception gap: 41-67 points across 7 dimensions.
  • Gartner — The Strategic Impact of AI Agents (CMO Quarterly 1Q26) — Gartner’s CMO-facing framing of agentic AI for 2026 (8-page CMO Quarterly excerpt, updated 2026-01-27). Three Gartner frameworks ship: AI Agent Assessment Framework (5-level Minimal-to-Advanced spectrum placing chatbots → assistants → agents); Levels of Agent Capabilities (the same 5 levels × 6 capability dimensions — Perception / Decisioning / Actioning / Agency / Adaptability / Knowledge); Competitive Vendor Landscape (four quadrants — hyperscalers, consultants, new specialist agentic companies, enterprise application BOAT). Five marketing-process targets ranked for agentic adoption (customer journey orchestration, workflow optimization, competitive research/customer insight, scenario/strategic planning, content/campaign creation). Cost drivers (reasoning steps, context size, deployment + license model, AI data readiness). CMO call to action: invest in API foundations now — MCP + A2A protocols will drive more APIs, not fewer. Marketing positioned as internal pilot environment for agentic experimentation. Includes WEO Marketly applied read mapping the five Gartner targets to OmniPresence / BAW / Clawdbot / Hermes / GHL surfaces.

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