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.

52 documents across 4 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

Industry Verticals Top Hedge Funds and Quant Shops: AI Agents, Workflow Signals, and Failure Modes Industry Verticals Buy-Side Quant AI Practitioner Signals: What Systematic Quant Shops Are Showing in Public Industry Verticals Asset Management and Quant AI Gap Map: What Was Still Missing Industry Verticals Finance/Quant AI Objective Coverage Audit Benchmarks Finance-Domain Models and Benchmarks: What We Were Missing Benchmarks StateBench Finance Replay Model Candidate Registry

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 Local Podcast Transcription MLX Models (May 2026) Benchmarks Local Model Benchmarks: A CIO's Hardware and Quality Reference Guide