Published reports and long-form analysis.
An industry-level analysis linking U.S. Census BTOS 2026 AI adoption data with BLS OEWS workforce composition data across 19 NAICS sectors. Finds that digital technical employment concentration is the strongest workforce correlate of sector-level AI adoption, with implications for benchmarking, strategy, and policy.
An operational guide to scaling AI initiatives beyond the proof of concept. Synthesizes research from McKinsey, AWS, Deloitte, and Concentrix on the five root causes of pilot stall, with a seven-step framework and production readiness checklist.
A practical framework for moving from AI ambition to managerial practice by strengthening judgment, capability development, and co-intelligence leadership behaviors across the enterprise.
An analysis of the credibility paradox facing middle managers as they lead AI transformation while learning the technology themselves, with practical strategies for managing uncertainty, role strain, and team adoption.
A strategy report arguing that sustainable AI profitability comes from human-AI collaboration, operating model redesign, and innovation-led growth rather than automation-only cost reduction programs.