The Experience Manifesto
An Open Letter to the Skills-Based Movement
Brian J. Miller, Ed.M.
Principal, Win with Talent
Jobs are in full disruption. Work changes faster than role descriptions can track. In an AI era, skills have a shelf life. What took a decade to depreciate now expires with the next LLM update.
The skills-based movement started to surface answers.
But the answers it proposes, inventory your workforce by skills, track what people can do, match skills to tasks, is a more sophisticated version of the same mistake. You are still treating people as a collection of attributes measured at a moment in time. You are still building talent infrastructure that is fundamentally disconnected from business value.
That is not talent leadership. That is database management with faster software.
SKILLS LAG. EXPERIENCES ACCELERATE.
A skills inventory tells you what someone can do today. It says nothing about what they will navigate six months from now, when the landscape has shifted again.
We are watching this play out in real time. AI researchers now have a name for what happens when professionals offload routine tasks to automated systems: Deskilling. Yes, output goes up. Yet, capability quietly erodes.
Who is learning in these moments — you or the AI?
A leader who has navigated a $400M business turnaround does not become less capable of navigating the next one because AI wrote a new framework.
If your talent strategy is anchored in skills, and skills are what AI most rapidly degrades, you are building on a foundation that is actively disappearing beneath you.
TRACKING SKILLS CONFLATES ACQUISITION WITH CAPABILITY BUILDING.
The Charter Leadership Forum in May 2026 highlighted four excellent organizations, all anchored to skills-based frameworks. Every one of them senses a gap. Not one of them names it cleanly.
The gap is Capability Velocity™. It is the durable, believable capacity for decision-making that accrues through accumulated experience. It encompasses aspirations, deep curiosity, tested discernment and judgment. It cannot be automated. It has to be earned.
Skills can be automated. Capability Velocity™ cannot.
Capability Velocity™ requires real stakes. Failures and turnarounds. Cross-functional conflicts nobody wanted to own. Galvanizing moments under pressure. Those experiences, sequenced deliberately through Experience Architecture™ activate context layering, converting raw exposure into lasting leadership capacity.
Organizations that invest in skills tracking but neglect experience design will have excellent talent inventories and anemic leadership pipelines. Moreover, companies are eliminating entry-level roles without realizing that entry-level roles are where people build the context capacity that leadership depends on. This is the Early Career Tax. Simply put, companies are eating their seed corn.
SKILLS DON’T TRANSLATE INTO BUSINESS VALUE.
This is the most significant gap in the movement.
Companies anchored in skills-based investment connect how work is structured to talent deployment. That is legitimate and important work. But not one contributor in the Charter forum answered the question that should come first: which roles are actually creating value, and which are not?
Skills-based frameworks excel at organizational tidiness. Role Velocity Mapping™ produces better-performing businesses. Those are not the same outcome.
The skills-based movement optimizes talent allocation without first asking which talent allocation drives disproportionate business value. It is workforce planning that is still fundamentally misaligned to strategy activation. You can have a perfectly optimized skills architecture and still have your highest-value roles staffed with the wrong people.
WHAT ACTUALLY MATTERS.
The skills-based movement is not wrong. It is incomplete.
Skills matter. Tracking them matters. Removing degree requirements and expanding talent pools matters. AI-assisted workforce metrics matter. None of that is bad work.
But it lacks a third dimension. It lacks foresight. It builds a map without a destination.
Experience Architecture™ is that framework.
Jobs to be Done │Roles │Context Layer │Capability Velocity™
That is the work that matters. Not what skills someone has today. What they have navigated, what it cost them, and what it made them capable of. That is the answer that does not expire when AI scales.
THE HIGH-GAIN QUESTION.
Every organization has a version of this question it is not asking clearly enough:
Who in this company has been tested enough to be trusted with what comes next?
It is not answered by a skills assessment. It is not answered by an internal talent marketplace. It is not answered by tracking behavioral proxies for empowerment or psychological safety.
It is answered by looking at what someone has navigated. What they stepped into when no one else would. What they had to figure out with real stakes on the line. What it made them capable of.
Skills are what you can do. Experiences are who you become.
The skills-based movement builds inventories. Experience Architecture™ orchestrates business value.
Win accordingly.
SOURCES & RESEARCH FOUNDATION
The arguments in this manifesto draw on the following published research and reporting.
AI Workforce Transformation
Spirlet, T. (March 28, 2026). The Great AI Deskilling Has Begun. Business Insider. Reports on AI-induced cognitive erosion, the "AI rebound effect," and the deskilling of knowledge workers who offload judgment to automated systems.
Charter Leadership Forum. (May 2026). Skills-Based Job Design: Perspectives from IBM, ADP, ServiceNow, and Canva. Charter / San Francisco Standard. Four senior talent executives on the gap between skills-based frameworks and the judgment-level capabilities they are actually reaching for.
Skills-Based Organization Research
Cantrell, S., Griffiths, M., Jones, R., & Hiipakka, J. (2022). The Skills-Based Organization: A New Operating Model for Work and the Workforce. Deloitte Insights. Based on a survey of 1,021 workers and 225 business and HR executives across 10 countries.
Experience-Based Development
McCall, M.W., Lombardo, M.M., & Morrison, A.M. (1988). The Lessons of Experience: How Successful Executives Develop on the Job. Lexington Books. Foundational research establishing experience as the primary curriculum of leadership development.
McCall, M.W. (1998). High Flyers: Developing the Next Generation of Leaders. Harvard Business School Press. Documents learning agility as the meta-capability that separates executives who grow from those who derail.
McCall, M.W. & McCauley, C.D. (Eds.) (2014). Using Experience to Develop Leadership Talent. Jossey-Bass/Wiley. Applied framework for systematizing experience-led development at the organizational level.
Decision Science & Expert Judgment
Klein, G.A. (1998). Sources of Power: How People Make Decisions. MIT Press. Establishes the Recognition-Primed Decision model: expert judgment is pattern-library retrieval, not analytical comparison. The research foundation for what Win With Talent calls Capability Velocity.
Schank, R.C. (1982). Dynamic Memory: A Theory of Reminding and Learning in Computers and People. Cambridge University Press. Case-based reasoning as the cognitive mechanism of expertise; expectation failure as the trigger for real learning.
Learning Theory
Kolb, D.A. (1984). Experiential Learning: Experience as the Source of Learning and Development. Prentice-Hall. The four-stage learning cycle; most leadership programs occupy only one stage. Win With Talent's simulation-debrief-coaching sequence is designed to run all four.
Argyris, C. & Schön, D.A. (1978). Organizational Learning: A Theory of Action Perspective. Addison-Wesley. Single-loop vs. double-loop learning; the finding that high-achieving professionals are often the worst learners from failure.
Win with Talent · brian@winwithtalent.com · winwithtalent.com