Why Did Nvidia Pour 1.5 Trillion Won Here? / The Ultimate Endgame of the Fourth Industrial Revolution Is 'This' (Robot Stocks, Medical AI) - KR Research CEO Kim Dae-jun

엔비디아가 왜 여기에 1.5조를 쏟아부었나? / 4차 산업혁명의 끝판왕은 '바로 이것' (로봇주, 의료AI) KR리서치 김대준 대표
Watch on YouTube ↗  |  January 16, 2026 at 07:00  |  21:07  |  815 Money Talk (815머니톡)
Speakers
Kim Dae-jun — CEO, TokenPost

Summary

Kim Dae-jun, CEO of KR Research, discusses Nvidia's medical AI investment with Eli Lilly and interprets it as an expansion of Nvidia's broader AI value chain, which should support high-performance semiconductor and HBM demand. He then reviews Korean medical AI and robotics, favoring field-use medical robotics such as Koh Young's brain-surgery robot, while cautioning on valuation and competition. The discussion extends to the robotics industry, where he sees humanoid robots as the long-term Fourth Industrial Revolution convergence point but favors software/control names and profitable robot companies today.

  • Nvidia's Lilly medical AI deal is framed as part of ongoing AI value-chain expansion.
  • AI applications in medical, autonomous, and robotics should increase HBM and high-performance chip demand.
  • Korean medical AI interest is rotating from data-analysis names to field-use medical robotics.
  • Koh Young is seen as a unique Korean brain-surgery robot play but with small robot revenue and strong da Vinci competition.
  • Robotics is described as the convergence point of the Fourth Industrial Revolution.
  • Humanoid robots are a long-term growth driver, with commercialization expected after 2028.
  • Within robotics, software and control/module companies are preferred over hardware/actuator areas dominated by China.
  • Robotis and Clobot are cited as rare profit-turnaround robot names, while Rainbow Robotics is cited as structurally loss-making.
Ideas
Kim Dae-jun CEO, TokenPost 1:15
Nvidia expands AI value chain strategically.
Nvidia's roughly 1.5 trillion won collaboration with Eli Lilly in medical AI over five years is not a sudden new direction but part of its ongoing strategy of investing in about 50 companies and spending tens of trillions of won annually on venture and AI platform investments. By investing across medical AI, autonomous driving, and robotics, Nvidia expands its AI value chain and secures future demand for its high-performance chips, which the speaker sees as smart and likely to continue.
Kim Dae-jun CEO, TokenPost 3:50
AI expansion drives HBM semiconductor demand.
As Nvidia and other AI leaders expand into medical AI, autonomous driving, and robotics, each vertical will require high-performance semiconductors and HBM memory. This value-chain expansion creates semiconductor demand regardless of which AI application ultimately wins, supporting the AI semiconductor supply chain.
Kim Dae-jun CEO, TokenPost 7:26
Koh Young leads Korean brain-surgery robots.
Koh Young is the only Korean company producing brain-surgery robots. Brain tumor surgery can take about 10 hours and requires intense concentration and precision, making robotic assistance a growing necessity. The speaker is positive on the stock's long-term upside, but flags that robot sales are only about 10-12 units at roughly 1 billion won or more each, robot revenue is only about 5% of total sales, the main 90%+ business is 3D display inspection equipment, robotic surgery is expensive and not reimbursed, and Intuitive Surgical's da Vinci is a strong entrenched competitor. If Koh Young can close the gap with da Vinci, re-rating is possible.
Kim Dae-jun CEO, TokenPost 9:35
Medical AI shifts to field-use products.
The medical AI trade is rotating away from pure data-analysis and image-diagnosis names toward companies with products actually used in clinical settings, especially medical robotics. Nvidia's medical AI investment and JP Morgan healthcare deal flow support the broader medical AI theme, but the speaker favors field-deployed product companies within that theme.
Kim Dae-jun CEO, TokenPost 12:56
Robotics is Fourth Industrial Revolution convergence.
Robotics is the convergence point of the Fourth Industrial Revolution, pulling together AI, autonomous driving, communications, and IoT, so growth is likely to concentrate in robots rather than robots merely boosting other industries. Industrial robots are the current market focus because they are already used, while humanoid robots are the largest long-term growth driver, though mass commercialization is not expected until after 2028 and broad adoption may take 5-10 years.
Kim Dae-jun CEO, TokenPost 12:56
Robotics is Fourth Industrial Revolution convergence.
Robotics is the convergence point of the Fourth Industrial Revolution, pulling together AI, autonomous driving, communications, and IoT, so growth is likely to concentrate in robots rather than robots merely boosting other industries. Industrial robots are the current market focus because they are already used, while humanoid robots are the largest long-term growth driver, though mass commercialization is not expected until after 2028 and broad adoption may take 5-10 years.
Kim Dae-jun CEO, TokenPost 18:14
Rainbow Robotics lacks structural profitability.
Rainbow Robotics is cited as an example of the many robot companies that remain loss-making, with annual revenue only around 30-40 billion won and no structural path to profit because robot use cases are still limited. The speaker uses this to warn that unprofitable robot companies cannot be justified on current earnings.
Kim Dae-jun CEO, TokenPost 18:38
Robotis validated robot profitability inflection.
Robotis is a rare robot company that validated its business by turning profitable in the first quarter of last year, helped by actuator-related interest. The speaker argues profit-turning robot companies are the ones that see the largest stock gains, making Robotis a useful benchmark for the profitability-inflection strategy.
Kim Dae-jun CEO, TokenPost 18:50
Clobot turns profitable in robot software.
Clobot is a robot software/control company that turned profitable in the third quarter and may turn profitable again in the fourth quarter. It fits the preferred software/control module area with global growth potential and improving financial structure, so it deserves investor attention even if the profit level is not yet impressive.
Kim Dae-jun CEO, TokenPost 19:23
Robot software and controls offer best growth.
Within robotics, hardware and actuators are crowded and China dominates on price, but software and control/module companies have better global strengths and scalability as robots spread. These firms can also show structural financial improvement, making them the preferred part of the robot value chain.
Up Next

This 815 Money Talk (815머니톡) video, published January 16, 2026, features Kim Dae-jun discussing NVDA, SMH, 098460.KQ, Medical AI/robotics, Humanoid robotics, Industrial robotics, 277810.KQ, 108490.KQ, 466100.KQ, Robot software/control modules. 10 trade ideas extracted by AI with direction and confidence scoring.

Speakers: Kim Dae-jun  · Tickers: NVDA, SMH, 098460.KQ, Medical AI/robotics, Humanoid robotics, Industrial robotics, 277810.KQ, 108490.KQ, 466100.KQ, Robot software/control modules