Human Readiness Model

AI readiness is not only technical readiness.

The Human Readiness Model helps institutions understand the human capacities required to meet technological acceleration responsibly.

Technical readiness is not enough.

An organization can have AI tools, policies, training, and infrastructure and still lack the human capacities needed to use them well.

Human readiness asks whether people can focus, discern, regulate, question, create, collaborate, take responsibility, and notice when a tool should not be used.

Five readiness layers

Individual readiness: attention, discernment, emotional regulation, agency, and ethical judgment.
Team readiness: relational maturity, communication, trust, and reflective practice.
Organizational readiness: governance, culture, training, and human-centered adoption.
Educational readiness: learning environments that develop capacities, not only AI literacy.
Cultural readiness: shared language, public discernment, civic attention, and meaning-making.

Use of the model

The model can support briefings, strategy conversations, education pilots, leadership development, public-sector innovation, cultural programs, and responsible AI conversations.

AI Readiness Briefings For Institutions Policy Briefs