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Module 1 · Direction: find the decisionWed, Aug 1960 min

Work redesign and leadership response

Map how a proposed AI workflow changes tasks, decisions, and capability needs. Prepare a practical response for the people who will carry the change.

Faculty: Dr. Miguel Paredes

Learning objectives

  • ▸Analyze AI's impact on roles and work design
  • ▸Diagnose sources of AI anxiety in a workforce
  • ▸Lead change through uncertainty
  • ▸Draft a change management approach for AI

Key concepts

Task composition & role redesignAI anxiety & resistanceChange managementReskilling imperative

Memorize this

🧠 AI anxiety🧠 Change management🧠 Reskilling

Your study flow

  1. 1. Read

    Read the session guide above. Note the ideas that change how you see your organization's current AI question.

  2. 2. Test

    Take the module quiz in Learn & Memorize to check understanding.

  3. 3. Drill

    Run the spaced-repetition flashcards to lock in the terms from this module.

📝 Test this session

Question 1 of 4Work redesign and trust

How should leaders respond to AI anxiety?

Flashcards for this module

  • AGENT
    A methodology for planning and phasing AI initiatives: Audit (readiness), Gauge (challenges), Engineer (solutions), Navigate (governance & people), Track (measurement).
  • The AI mandate
    The formal or informal authority a senior leader holds to set AI strategy: earned by showing up with a defensible vision and a Playbook.
  • AI readiness assessment
    A scored evaluation of organizational capability across dimensions like data, talent, leadership sponsorship, operations, and culture: before committing to use cases.
  • AI winters
    Periods in AI history when hype outpaced capability and funding collapsed (1974 to 80, 1987 to 93). Lesson: separate durable capability from hype.
  • Human and AI division of labor
    The idea that AI reshapes tasks, not whole jobs: leaders should analyze work at the task level to see where humans and AI each add value.
  • Opportunity map
    A structured view of candidate AI use cases across the organization, scored on value and feasibility to identify quick wins vs strategic bets.
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Build for Module 1: AI Readiness Assessment + AI Vision Statement
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