Deerfield Green

Studies

Data-driven research on the AI industry's economics, technology, and strategy.

2 studies 114 technologies assessed 30+ companies profiled 13 pricing models
AI Monetization
Q2 2026
Pricing Revenue Unit Economics Billing Infra
How AI products make money in 2026. Hybrid pricing dominates with 92% adoption, yet gross margins remain 30 points below traditional SaaS. A complete taxonomy of 13 monetization models with pricing data across 30+ companies.
The most significant finding is the speed of model convergence. In under eighteen months, the industry moved from experimentation to a de facto standard: tiered subscriptions for consumers, hybrid credit-plus-usage for developers, and outcome-based pricing for enterprise autonomous agents.
13 pricing models
30+ companies
$2.5T AI spend
4 cautionary tales
Interactive Dashboard Revenue Scoreboard Margin Analysis Expert Outlook
AI Technology Radar
Q2 2026
Models & Inference Agent Orchestration Data & Retrieval LLMOps
114 technologies assessed across four quadrants with opinionated ring placements grounded in production evidence. Three foundation models dominate, MCP achieved universal adoption, and open-source tooling matured into the default production stack.
The defining discipline shift of 2025–2026 is managing what the model sees rather than how you ask. Context engineering replaced prompt engineering, agent memory emerged as critical infrastructure, and coding agents generated $4.5B+ in combined ARR.
114 technologies
4 quadrants
$4.5B+ coding agent ARR
7 cross-cutting insights
SVG Radar Visualization Quadrant Filters Ring Assessment Search & Drill-down