Metadata
Professional & Career Studies Undergraduate Analyze Hard
Metadata
  • Subject

    Professional & Career Studies

  • Education level

    Undergraduate

  • Cognitive goals

    Analyze

  • Difficulty estimate

    Hard

  • Tags

    automation, ai, career trajectories, skill obsolescence, reskilling, labor market

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' ability to analyze how automation and AI reshape career trajectories and drive skill obsolescence among mid‑level professionals. Scope includes mechanisms of task displacement and augmentation, task‑based vulnerability frameworks and skill‑depreciation models, sectoral case studies, measurement of obsolescence and mobility, impacts on wages and promotion pathways, and evaluation of organizational and policy responses (reskilling, job redesign, transition supports). Students must synthesize empirical evidence, perform scenario-based forecasting, and propose actionable mitigation strategies with trade‑off analysis.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.