Research & Publications
Original research on why most AI investments stall. The gap between AI activity and ROI is the same value leakage firms feel as thinner margins, uneven quality, and less distinctive thinking, until the work is redesigned around AI.
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Most teams ask AI for answers. The best teams ask AI for maps. This paper draws on the author's training as an urban planner, Swiss astro-physicist Fritz Zwicky's morphological method, and original research from a 12-month enterprise AI pilot at the Commonwealth of Pennsylvania to argue that the best use of large language models is as an instrument of cartography rather than an oracle: the systematic mapping of what is known before deciding what is worth building next.
Download PDF →McKinsey reports that 78% of organizations are using AI, yet only 6% qualify as high performers. This paper diagnoses the 94% gap as a value-creation problem, not an adoption problem, and introduces the Adoption Gap Framework: three distinct gaps (Incentive, Competence, and Culture) that explain why most AI investments stall before producing ROI. Grounded in a 12-month ChatGPT Enterprise study across 14 Pennsylvania state agencies and patterns observed across private-sector engagements.
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terence@secondmindsolutions.com