Skills Over Jobs: AI-Driven Future

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Skills-Based Reshuffle

T Times Vibe Coding Conference: AI and Skill-Based Organizational Innovation, Future Talent Development, and Global Economic Outlook

01. Rapid Changes in Organizational Operating Systems

Organizational operating methods, which have changed over time, are rapidly shifting towards skill-centricity.
A method of gathering talent capable of solving problems is adopted instead of traditional job classifications.
Organizational innovation is underway, where recruitment, evaluation, and compensation are based on skills.
These changes are closely linked to the global economy and AI innovation.

02. AI Era, Job Restructuring, and Leadership Innovation

With the emergence of AI, the argument for the uselessness of traditional pigeonholed job models such as HR, marketing, and finance is highlighted.
Anyone can acquire skills such as data analysis and algorithm creation.
Roles within the organization shrink, transcending boundaries, and collaboration takes center stage.
Managers are also transforming from a supervisory role to a plain coach style, directly involved in the field.
In this process, AI utilization and organizational innovation play an important role in the best economic outlook.

03. New Paradigm for Career Management and Talent Development

The existing academic background-oriented talent selection method is being reconsidered in the face of AI’s generative capabilities.
Even undergraduate graduates can leverage generative AI to demonstrate high research and problem-solving abilities.
Early career recruitment cases are increasing, and high school graduates are also being hired based on skills.
These changes directly impact future talent development and economic prospects.

04. Project-Based Work, Strengthening the Role of AI Agents

Past project execution methods are replaced by the accumulation of experience and knowledge through AI agents.
Project teams maximize work efficiency by closely collaborating with AI agents.
Traditional apprenticeship-style knowledge transfer is replaced by data and records held by agents.
This increases the knowledge assets that the organization can possess, laying the foundation for long-term growth.

05. Changes in Working Patterns and Discussions on Flexible Four-Day Work Week

Discussions on reducing working hours and introducing a four-day work week seek a balance between individual leisure and productivity.
Overseas experiments in the UK and elsewhere show that workers tend to use their days efficiently.
New labor markets such as contingent workers and the gig economy are emerging, and AI-based side jobs are also expanding.
These changes have a significant impact on the flexibility of the future labor market and the overall economy, as well as global economic trends.

< Summary >

Organizational operations are rapidly changing towards skill-centricity instead of traditional job classifications.
With the introduction of AI, job boundaries become blurred, and managerial leadership is shifting towards the field.
Talent development and early career recruitment trends are strengthening, focusing on skills rather than academic background.
Project-based work methods maximize the accumulation of knowledge and experience with AI agents.
Flexible working patterns such as the four-day work week and the gig economy affect the future labor market and the global economic outlook.
Key Words: Best Economic Outlook, Global Economy, AI Innovation, Organizational Innovation, Future Talent

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*YouTube Source: [티타임즈TV]


– 직무 대신 ‘스킬’ 중심으로 조직이 재편된다 (이중학 가천대 교수)




 ● Skills-Based Reshuffle T Times Vibe Coding Conference: AI and Skill-Based Organizational Innovation, Future Talent Development, and Global Economic Outlook 01. Rapid Changes in Organizational Operating Systems Organizational operating methods, which have changed over time, are rapidly shifting towards skill-centricity. A method of gathering talent capable of solving problems is adopted instead of traditional…

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