AI Investment Flows H1 2026: Capital Allocation Patterns and Sector Trends
Analysis of $47B in AI-focused venture capital and corporate investment across training, inference, and infrastructure layers.
Benchmarks, deployment analysis, and governance research — published with methodology, limitations, and named reviewers. No pay-to-rank. Ever.
Analysis of $47B in AI-focused venture capital and corporate investment across training, inference, and infrastructure layers.
Comprehensive evaluation of 24 enterprise AI platforms across deployment speed, governance readiness, model flexibility, and production reliability. 48 pages. Methodology published. Conflicts disclosed.
Total-cost-of-ownership analysis across 18 frontier models, measured against 12 production workloads. 36 pages.
Gap analysis of Fortune 500 preparedness for September 2026 enforcement. 28 pages with remediation roadmap.
Value-chain mapping across 47 vendors, with exclusive deployment data from 120 enterprise rollouts. 52 pages.
Benchmark of 14 vision-language models across document understanding, industrial inspection, and accessibility applications.
TCO analysis of fine-tuned models versus API-based solutions across 23 enterprise scenarios. Includes calculator and procurement guidelines.
Design patterns that satisfy SEC, HIPAA, and GDPR constraints — with reference implementations and audit checklists.
Mapping of NIST AI RMF, ISO/IEC 42001, and EU AI Act requirements with implementation guidance.