Workforce Readiness Briefing
A concise opening view of the people systems that make or break AI adoption.
Friday 18 Dec 2026 | 1:00 PM-2:30 PM Central
AI Workforce Readiness and Change Leadership
Cohort: Business EnablementNine executives examine how teams, managers, policies, incentives, and culture need to change as AI becomes part of daily work.
90Minutes from 1:00 PM to 2:30 PM Central
08Moderated workforce questions
09Executives in the room
01Invite path into the cohort
Operating format
A working room for leaders preparing people for AI-enabled work.
The session moves beyond generic training and asks what managers, teams, policies, incentives, and leadership messages need to change for adoption to hold.
Change Leadership Exchange
Moderated prompts compare manager readiness, resistance, enablement, incentives, and trust.
People-System Priorities
Qualified participants identify the workforce questions that deserve deeper brief and summit work.
The room
Where AI adoption becomes a leadership and management problem.
The discussion asks what changes when AI enters daily work: how managers lead, how employees learn, what policies clarify, how fear is handled, and how organizations keep dignity and performance in the same conversation.
- Audience
- CEOs, CHROs, COOs, CIOs, transformation leaders, learning leaders, operations leaders, and AI program owners preparing teams for AI-enabled work.
- Access
- Invitation-only, capped at nine executive participants for a moderated exchange rather than broadcast attendance.
- Outcome
- A practical workforce readiness agenda for AI adoption and change leadership.
Featured lineup
Featured guests, authors, and partners for this conversation.
When a featured registration includes an approved bio photo, it appears here from the live registration profile for this event.
Moderated questions
The workforce questions that decide whether AI adoption survives contact with people.
Each question is designed to expose the human operating system behind AI readiness.
What does workforce readiness actually mean?
Is readiness about tools, literacy, workflow redesign, management behavior, incentives, policy, confidence, or all of the above?
Which roles change first?
Where will AI reshape individual contributor work, management work, specialist work, customer work, or executive decision-making fastest?
How ready are managers to lead AI-enabled teams?
What do frontline and middle managers need in order to guide use, review output, coach people, and handle resistance?
What should employees be allowed to do with AI?
Which policies should clarify acceptable use, disclosure, review, data handling, customer impact, and accountability?
How should leaders address fear and resistance?
What concerns are legitimate, what narratives are harmful, and how should executives communicate without dismissing people?
What training actually changes behavior?
Which learning formats, practice environments, peer examples, manager routines, and reinforcement methods create real adoption?
How should performance expectations change?
When AI changes output speed, quality, review, or collaboration, what should leaders measure and reward differently?
What culture do we need for responsible AI use?
How do organizations encourage experimentation, transparency, judgment, safety, and accountability at the same time?
Run of show
A direct path from executive signal to practical next steps.
The session compresses briefing, peer exchange, and relationship qualification into one focused executive room.
Readiness baseline
The moderator frames the people, management, and policy systems required for AI-enabled work.
Change leadership
Each leader compares manager readiness, training, resistance, policy, incentives, and culture.
People priorities
Participants identify the workforce questions that should become briefs, working groups, or summit topics.
Invitation only
For executives ready to lead the human side of AI adoption.
Access is curated by the MOJO AI Summits team. The December 18 room is intentionally small so leaders can talk directly about workforce readiness, fear, capability, and change.