From AI to AGI: How Agents Are Reshaping Work and Industry β€” Daesik Kim, KAIST & AI Summit Seoul & Expo 2026

From AI to AGI: How Agents Are Reshaping Work and Industry

Session Overview

The rise of generative AI is more than a passing technology trend β€” it's becoming the starting point of a new era in which human intellectual labor can be mass-produced. This talk starts from the fundamental differences between AI and AGI, examining how the Transformer has reshaped the way language, code, and content are produced. It also looks at the shifting productivity landscape and the competition among vibe coding, content AI, and open vs. closed AI ecosystems β€” tracing the true nature of the change that businesses and individuals are already grappling with.

The talk also raises questions about what capitalism and market dominance will look like in the age of AGI, and how human work and life itself may be transformed. In an era where knowledge, judgment, and execution can be mass-produced by machines, what should people learn, what strategies should businesses adopt, and what new order should society prepare for? Going beyond technical explanation, this session offers a big-picture perspective and practical insight for business leaders and knowledge workers navigating the AGI era.

Key Takeaways

  • The fundamental differences between AI and AGI, and how the Transformer reshaped language, code, and content production.
  • The competitive landscape among vibe coding, content AI, and open vs. closed AI ecosystems.
  • What capitalism and market dominance could look like in the AGI era.
  • What people need to learn β€” and how businesses need to adapt β€” when knowledge, judgment, and execution can be mass-produced by machines.
  • A big-picture, practical perspective for business leaders and knowledge workers navigating the AGI era.

Speaker

Daesik Kim
Daeshik Kim
Professor
KAIST
AGI Brain Science Generative AI

Professor Daeshik Kim is a professor in KAIST's School of Electrical Engineering, working at the intersection of brain science and artificial intelligence to study the principles of human and machine intelligence. His research spans artificial intelligence, machine learning, deep learning, generative AI, brain science, and neuroscience. Through numerous books β€” including AGI, Angel or Devil?, Asking ChatGPT About the Future of Humanity, Daeshik Kim's Human vs. Machine, and Metaverse Sapiens β€” he has actively shared his insights on AI, humanity, technology, and the future of society with the public.