Gen AI for People Management & Leadership

Gen AI basics, from what it is and isn't to foundation models and productivity impacts, and learn the three tiers of usefulness and three work modes—co-creation, validation, and orchestration.

Generative AI, via foundation models, creates content from learned patterns and yields local gains that may not translate to global gains. It introduces UVAS and rapid adoption, demanding careful integration.

Identify what Gen AI can actually do across tiered usefulness: very useful for summarization and drafting; somewhat useful for decision support; dangerous for deep facts and high-stakes judgments.

Gen AI shifts work from doing to automating and from workers to workflow designers, requiring breaking tasks into sub-tasks and balancing co-creation, validation, and orchestration.

Identify the seven common Gen AI adoption pain points, from unrealistic expectations to stochastic degradation. Learn how to align tools, workflows, and governance to improve adoption.

Summarize the module outro on Gen AI literacy, outlining the status, capabilities and hype, changes to work, core technical concepts, and common management pain points.

Explore how Gen AI accelerates team communication and reporting by tailoring messages, preparing meeting briefs, and producing upwards reports, with Tier 1 and Tier 2 use cases.

Leverage Gen AI to standardize communication tailoring by profiling styles, using templates, and adapting tone and detail, framing feedback and development conversations at scale.

Learn how Gen AI automates meeting briefing and preparation by compiling context and profiling attendees. Refine agendas and draft audience-focused pre-reads, while tracking open items with human validation.

Automate upwards reporting with Gen AI to extract key signals, draft concise executive summaries, and calibrate for stakeholders, while enforcing consistency and structured formats.

Explore how Gen AI enhances team communication and upwards reporting by automating tasks, tailoring communications, structuring briefings, and preparing meeting agendas, with caution on accuracy and validation.

Gen AI augments performance evaluations by aggregating evidence, analyzing consistency, drafting clear narratives, and linking insights to concrete development actions, reducing recency bias.

Gen AI development gap and opportunity prioritization analyzes performance data to identify gaps, map opportunities, prioritize by impact, generate actionable steps, and track progress.

Use Gen AI to automate and augment performance evaluation, skill-gap identification, and onboarding, while validating outputs to avoid hallucinations, ensure consistency, and balance personalization with fairness and human judgment.

Gen AI accelerates talent coaching by automating career path exploration, goal tracking, and blocker resolution. It offers 24/7 structured reflection and warns about limited emotional depth, context gaps, and hallucinations.

Leverage Gen AI to personalize career advice and map realistic paths for individuals, building structured profiles, identifying gaps, matching internal opportunities, and guiding coaching conversations.

Learn how Gen AI transforms blocker resolution by logging blockers, detecting patterns, root-cause analysis, and tailored resolutions, with automated tracking, escalation, and ongoing validation for scalable leadership.

Explore how Gen AI talent coaching automates coaching tasks and personalizes career advice. Set and track goals, identify blockers, and preserve human judgment through workflows with prompts and outputs.

Apply Gen AI to people management and leadership by building Gen AI literacy, enabling clear communication and reporting, developing talent and measuring performance, and coaching reflection and goal setting.