Jensen Huang's 'gift' marketing strategy in South Korea

Nvidia CEO Jensen Huang's recent visits to South Korea have been characterized by a curious media framing, with outlets describing his business dealings as "gifts" rather than strategic commercial engagements. During his latest trip, Huang stated he brought "four businesses" but was still met with questions about whether he was delivering "gifts." This deliberate ambiguity, cultivated by Huang's own actions, serves as a sophisticated marketing strategy. The venues for his meetings have also shifted from "Kkanbu Chicken" last year to a more informal "Brother, it's me" establishment this year, where he distributed snacks to onlookers. Such gestures, while seemingly generous, are not how genuine gifts are typically presented and create an awkward, almost embarrassing, spectacle.

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He made very direct technical and industrial contributions to the development of artificial intelligence by building the GPU computing platform and the CUDA (software) ecosystem.

Media outlets often praise Huang's showmanship, but his public persona has undergone a significant transformation. His biography depicts him as a relentless workaholic and a harsh CEO. Now, he presents himself as an "AI evangelist" with a perpetual smile. When asked about his role in AI development, ChatGPT noted that while he didn't invent deep learning algorithms, his creation of the GPU computing platform and the CUDA software ecosystem made significant technical and industrial contributions. However, this narrative is contested. Huang's biography reveals that Nvidia initially refused a request from Professor Geoffrey Hinton in 2009 to provide GPUs for machine learning research. It was only after the groundbreaking "AlexNet" model was presented in 2012 that Nvidia, and Huang, fully recognized the potential of the AI market. While Nvidia did invest heavily in the CUDA ecosystem, as ChatGPT suggests, there is debate whether this truly advanced AI development or created a "lock-in effect," confining users to Nvidia's GPUs.

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He had requested Nvidia to provide GPUs for machine learning research.

The author questions the broader implications of AI, defining it essentially as machine learning, or "deep learning," particularly supervised learning. The next stage, "self-learning," is beyond human comprehension, fueling widespread fear. While Huang confidently asserts his understanding of AI, many others acknowledge the inherent uncertainties. In contrast to his optimistic pronouncements in Seoul, where he described AI as a "tremendous opportunity," the United States and Europe have been voicing significant concerns. Pope Francis recently likened AI to the Tower of Babel, calling for its "disarmament." Similarly, AI company Anthropic warned that AI is evolving independently of human intervention and urged a global coordinated effort to manage its development speed.

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This is a tremendous opportunity.

Huang's apparent lack of concern contrasts sharply with these widespread anxieties. His biographer, Steven Witt, concluded that for Huang, AI is simply "software" and "programs" running on Nvidia's hardware. The author suggests that Huang, as a dominant figure in the industry, feels compelled to engage in such public relations efforts due to underlying pressures. Last year's visit coincided with a slowdown in Nvidia's stock growth. The company is currently using its substantial GPU profits to acquire other businesses and build a new ecosystem. Recent reports indicate Nvidia plans to issue $20 billion in bonds to raise capital. This move may not signal a crisis but rather a strategic necessity to establish a new ecosystem as the exclusivity of CUDA potentially wanes. The author concludes that it is time to look beyond the celebratory reception of Huang's visits and critically assess the real reasons behind his carefully orchestrated public appearances.

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AI should be disarmed.