State of AI

An independent knowledge base on enterprise AI adoption — with executive briefings separated from technical operator research.

Built for leaders who need board-ready synthesis and teams who need implementation-grade evidence.

25 briefings in production · 2 rendered · stateofai.pages.dev

Enterprise AI Landscape

Primary research across AI adoption, tools, security, governance, and challenges — organized by topic.

69 documents across 5 categories

Frameworks & Diagnostics

Workshop-ready deliverables: decision frameworks, diagnostic tools, checklists, and one-pagers by executive role.

Operator Workbench

Benchmarks, model/runtime notes, observability patterns, source-ingestion pipelines, and migration harnesses for builders.

Finance & Quant AI Field Guide

Visual Brief Hedge Fund AI — The Public Evidence Map

Industry Verticals What GMO, Acadian, Arrowstreet, and Selected Quantitative Managers Are Showing About AI: Strategy, Talent, and Public Signals Industry Verticals Hedge-Fund AI Capability Audit: Models, Embeddings, Agents, and Evidence Boundaries Industry Verticals Hedge-Fund AI Personnel: Title-Signal Sweep and Coverage Audit Industry Verticals Hedge-Fund AI Podcast and Video Practitioner Signals Industry Verticals Finance/Quant AI Objective Coverage Audit

Recent Analysis

Knowledge Base Workflow Redesign Knowledge Base SLM Finance Benchmark Landscape Knowledge Base Shadow AI Knowledge Base Productivity RCTs: The Independent Evidence Base Knowledge Base LLM Cost Attribution Knowledge Base Human-in-the-Loop (HITL) as Deployment Architecture

Recent Technical Workbench

Benchmarks VLM, Computer Use, and Web Agent Benchmarks — 2026 Benchmarks Unsolved Hard Problems in RAG and Agentic AI — May 2026 Benchmarks Trace-to-Training-Pair Conversion — Layer 1 of the Enterprise SLM Pipeline Benchmarks StateBench Finance Replay Model Candidate Registry Benchmarks Semantica-AGI in the State of AI Corpus Benchmarks Local Podcast Transcription MLX Models (May 2026)