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Job-specific AI Response Strategies: From Diagnosing My Job Security to Skill Development

Diagnose the future of my work and learn how to grow together with AI What we need now is the power to read the future of my work! In the midst of industrial restructuring and technological transformation trends, we'll specifically tell you from a job function perspective what changes are coming to your work now and how you can prepare for them.

1 learners are taking this course

  • skmns
AI 활용법
트랜드
ai대응전략
ai미래
Generative AI
Self Improvement
Information Strategy Planning

What you will learn!

  • Can explain the background and technological foundation of the AI transformation

  • You can understand the essence of AI hegemony competition that unfolds centered around corporations.

  • Can explain industry-specific changes and job restructuring trends through specific examples

  • Individuals can derive survival strategies and opportunity factors that they should have in the midst of change.

Understanding Job Paradigm Changes Due to AI Transformation and Establishing Personalized Response Strategies

  • In the era of AI dominance, this course is designed to help you accurately understand the essence of industrial and job market changes, and diagnose how your role and work will be affected by AI.


  • It helps anyone develop concrete survival strategies for the AI era through job-specific change scenarios and practical application strategies that reflect industrial structural changes, automation levels, and AI adoption trends.


💡AI is not a technology that changes industries, but a technology that changes 'work'.

The spread of AI technology is demanding fundamental changes that go beyond simple technological innovation, extending to work methods, job structures, and organizational culture. Now, strategic judgment about 'what work to do and how to do it' is necessary, and we are facing an era where survival itself is difficult without AI response capabilities for each job function.

All job functions are under the influence of AI. Across all fields including planning, human resources, sales, marketing, and production, the introduction of AI technology is automating work processes and redefining the scope of existing roles and responsibilities. This process is a practical training course that helps specifically diagnose the direction of change for each job function and prepare work redesign and survival strategies suitable for the AI era.

You'll learn content like this

Generative AI and Work Innovation Expert Professor Lee Si-han

This is a lecture by Professor Lee Si-han, an expert who makes generative AI and work innovation easy to understand, author of 『GPT Generation』, 『How Smart People Think and Ask Questions』, 『Creative Humans in the AI Era』, 『The Age of Metaverse』, 『The Age of NFC』, and other works.

Shows the workflow of applying generative AI tools to work through a marketer's daily routine.

In the morning, we perform ideation and organization tasks such as generating slogans with ChatGPT and organizing meeting minutes with Notion AI. In the afternoon, we present an automated routine that extends to creating visual materials with Canva AI and writing reports with Claude.

We present AI agent performance metrics through real corporate case studies.

It demonstrates quantitative impact such as increased conversation processing capacity, responses within 1-2 minutes, and a 25% reduction in repetitive inquiries. It explains the implementation effects through multilingual and 24-hour operations and the ability to perform tasks similar to large-scale workforce.

This shows the strategic investment flow for US AI policy and containing China.

The Biden administration's AI executive order emphasizes strengthening safety and accountability along with enhanced testing regulations. The Trump administration's Stargate LLC initiative mentions regulatory relaxation and $500 billion in infrastructure investment, with participation from OpenAI, SoftBank, and Oracle.

This shows cases where AI recommendation systems reduce subscriber churn rates on content platforms.

Optimize viewing experience through personalized recommendations to increase user retention rates. Visualize how AI improves key business metrics (churn rate) through the Netflix interface.


Explains the AI governance adoption levels, investment outlook, key risks, and consumer trust in Asia-Pacific.

91% of organizations are at the 'basic/in progress' level, and regional AI investment is expected to increase approximately 5-fold by 2030, reaching $117 billion. Security vulnerabilities (86%), surveillance (83%), and privacy protection (83%) are the top priority risks, and 62% of consumers trust companies with ethical AI more.

This is a corporate use case that implemented virtual collaboration with the MS Mesh-based 'Nth Floor' metaverse

Avatar meetings and spatial sharing enhance interaction and immersion, improving collaboration efficiency for distributed teams. This demonstrates that the metaverse still provides practical value in the workplace collaboration domain.

Recommended for
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Who is this course right for?

  • Working professionals who want to systematically understand the speed and background of the AI transformation

  • Working professionals who want to discover future opportunities by comparing AI strategies across countries and companies

  • Leaders and practitioners who need to prepare for AI adoption and governance at the organizational level

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Curriculum

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8 lectures ∙ (2hr 44min)

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