Report says AI strategy playbooks ignore human capability development

A new iThrive Learning Architects report says 15 major AI strategy playbooks published in 2025 and 2026 focus on tools and strategy but miss a repeatable way to build human capabilities for AI-era work. The finding lands as universities and employers race to update training, curriculum and workforce plans.

Why it matters: - Universities, employers and workforce leaders are building AI roadmaps now, and the report argues those plans risk failing if they do not develop the human capabilities needed to direct, evaluate and govern AI output. - iThrive Learning Architects says adoption for students, educators and employees depends on a new layer of capability development, not just new software or policy.

What happened: - iThrive Learning Architects published "The AI Adoption Blind Spot" on October 8, 2026. - The report reviews 15 prominent AI strategy playbooks published in 2025 and 2026. - The sample includes 13 CEO-level surveys and reports from firms including McKinsey, BCG, PwC, IBM and KPMG, plus academic reports from Stanford HAI and MIT’s Ad Hoc Committee on AI. - The review assessed whether each playbook addresses human capabilities, recommends workforce development, or offers a repeatable method to build those capabilities into curricula and training.

The details: - The report says none of the reviewed frameworks systematically explain how to develop human capabilities alongside AI adoption. - The report identifies four gaps in current AI adoption frameworks: no action plan for developing human capabilities in educators, students or employees; no curriculum redesign method for AI-enabled work; no educator development for faculty and learning-and-development leaders; and an alignment gap between current training and post-AI skill needs. - Alan Boyer, founder and managing partner of iThrive Learning Architects and author of the report, said major AI playbooks tell leaders to invest in tools, data and strategy, but stop short of showing how to build the human capabilities they name. - Boyer said the missing layer is the blind spot, and AI adoption will not hold without it. - The report says the key finding is to audit AI-enabled workflows against a named set of human capabilities. - iThrive proposes an AI + Human Capability Architecture built around seven human capabilities, a repeatable design method for integrating those skills into courses and training programs, and professional development for educators and trainers. - iThrive Learning Architects works with higher education institutions and employers on curriculum redesign and corporate training aimed at non-automatable human capabilities. - The firm also offers curriculum redesign, strategic planning and the Elevate Human Capabilities Workshop Series. - The full report is available as the full report.

Between the lines: - The report is a critique of a common implementation gap in AI planning, not a rejection of AI adoption itself. - Its argument is that leaders are focusing on what AI can do faster, while underinvesting in the people who must shape how AI is used in real workflows. - That framing puts curriculum design and educator training at the center of AI readiness, especially in higher education and employer learning programs.

What's next: - iThrive is pushing institutions to pair AI rollout with human capability design, starting with educators and trainers. - The company is positioning its framework and workshop series as tools for organizations that need to redesign training for AI-integrated work. - The report suggests AI roadmaps will increasingly need a companion plan for workforce and curriculum change if adoption is going to stick.

The bottom line: - AI strategy may be moving fast, but the report says institutions that skip human capability development will build adoption plans with a critical gap.