Korean AI Data Centers: Urgent Opening by Large Corporations

South Korea holds a significant position in the GPU stage through its High-Bandwidth Memory (HBM) and High-Bandwidth Power Fabric (HBF) technologies.

Data centers are essential infrastructure for AI models to operate, similar to how Britain secured dominance by laying railways after occupying India during the Industrial Revolution.

Currently, data centers are expanding to gigawatt scales, and some bubble controversies are far from the current situation where demand exceeds supply.

As a manufacturing-based country, Korea should focus on 'Sovereign Physical AI,' meaning physical AI, to increase its applicability in manufacturing sites.

Rather than competing in general-purpose AI, a strategy focusing on developing models specialized in manufacturing processes where Korea has an advantage, such as shipbuilding, is necessary.

South Korea is evaluated as the most prepared country in manufacturing AI among OECD nations, and fostering K-Palantir can secure national competitiveness.

More than half of Palantir's revenue comes from manufacturing sites, where they eliminate data silos and implement real-time streaming data.

Palantir uses ontology technology to provide context for AI to understand factory situations, and Samsung Electronics and HD Hyundai Heavy Industries are already confirmed Palantir clients.

Korean semiconductor and AI startups must focus on Physical AI to counter the threat from Palantir.

Palantir is compared to 'the East India Company of this era' and has been warned as the most toxic company for Korea due to the potential for advanced manufacturing data leakage.

Despite non-disclosure agreements (NDAs), the possibility of data leakage remains, and Korean startups must benchmark Palantir's success to counter them.

Large and medium-sized enterprises must open their factory data to the outside within a tight timeframe of 2-3 years to provide innovation opportunities and make decisions for digital twin construction.

Contractual non-disclosure clauses alone have limitations in preventing data leakage, potentially encroaching upon the Korean manufacturing ecosystem.

In existing manufacturing sites, data silos occur where financial, accounting, factory machinery, personnel, and inventory data are fragmented and unconnected.

Palantir dismantles this walled-off data and converts it into streamlined data, connecting it in real-time.

Furthermore, it uses ontology technology to provide context to the data, helping AI fully understand and utilize factory situations.

While the government's budget increase and policy support for manufacturing AX projects are positive, it is urgent for large and medium-sized enterprises to open their factories and collaborate with startup innovators.

The golden time to secure Korean AI competitiveness without being encroached upon by Palantir is estimated to be 2-3 years.

Japan, despite massive government support, faces structural limitations like a conservative workplace culture and a lack of young entrepreneurs.

Korea's open and free discussion culture provides strong impetus for young entrepreneurs, leading to the growth of the startup ecosystem.

The creation of the startup ecosystem has already been completed through government-led Centers for Creative Economy and Innovation and university technology holdings; now, the will of large corporations is key to successful collaboration with startups.

Rather than a single aircraft carrier-style model, a strategy is needed to foster Korean Palantir unicorns with strengths in various fields such as shipbuilding, semiconductors, and automobiles.

Livestock robot company 'Robos' and semiconductor AI company 'Mythril' are preparing for listing as successful cases of K-Palantir.

Financial risks due to high valuations should be considered. It is advisable to approach it as an aggressive asset in a portfolio and manage it with a small proportion.

Financial health is excellent, but valuation burden exists, so a phased purchase is recommended rather than a lump-sum investment.

The Chinese humanoid market is currently in a bubble phase with low on-site application, but its ability to heavily invest in robot manufacturing and learning personnel due to low labor costs could pose a long-term threat.

In the short term, a strategy of adopting Chinese companies' SDKs and layering them with Korean security and OS is effective, and Korea, with its high salary levels, is a suitable partner for verifying humanoid economic viability.

Executives of major Chinese humanoid companies hope to enter the Korean market first.

It is virtually impossible for South Korea to beat China in humanoid production cost competitiveness; instead, it should focus on developing the systems that drive humanoids, i.e., humanoid OS.

Preparing for the possibility of restricted technology openness within the next 3-5 years, building an independent OS is essential, which connects to the 'Sovereign Physical AI' strategy centered on self-learning data preservation and security.

In a situation where hardware cost competition with China is realistically impossible, the economic efficiency of robot adoption emerges as an alternative to solving the high labor cost problem.

Through the 'Sovereign Physical AI' strategy, which prioritizes the self-preservation of learning data, the economic efficiency of robot adoption can be increased even with high labor costs.

In an era where AI expands its scope, human's deep curiosity itself becomes a core intrinsic value. To prepare for a future where superintelligence and the space industry converge, we must learn macro-thinking frameworks like the 100-year roadmap proposed by Elon Musk.

In an era where AI handles external expansion, humans should embrace deep curiosity as their inherent value and enhance the added value of the AI era through continuous learning.