AJP Asia Intelligence Agency

After Jensen Huang, Nvidia faces a test of leadership

Graphics AI assisted
Graphics AI assisted

SEOUL, November 15 (AJP) - The sudden departure of Jensen Huang from Nvidia has raised a question that extends far beyond the future of the world's leading artificial intelligence chipmaker: Can a company built on one founder's extraordinary vision sustain its success without becoming dependent on that vision?

Nvidia announced Thursday that Huang had resigned as chief executive and board member, ending a 33-year tenure at the company he co-founded. Chief Financial Officer Colette Kress was appointed interim CEO, while longtime director Harvey Jones became chairman.

The transition comes at a delicate moment for the AI industry. Technology companies are committing enormous sums to data centers, advanced semiconductors and the infrastructure needed to support increasingly sophisticated AI systems. Yet questions are growing over how those investments will be financed and whether future demand will justify their cost.

Huang helped transform Nvidia from a graphics chipmaker into a company central to the global AI economy. His achievements have reshaped computing and created opportunities across industries, including South Korea's semiconductor sector.

But the qualities that enable a visionary founder to build an extraordinary company are not necessarily sufficient to manage every risk that follows its success.

Reports of tensions between Huang and Kress have drawn attention to the relationship between technological ambition and financial discipline. The details of their disagreements remain subject to reporting, and it would be misleading to assume that their differences were solely about Nvidia's investment strategy.

Nevertheless, the broader question is legitimate. How can a company encourage bold decisions while ensuring that those decisions are subjected to independent scrutiny?

One concern involves the financing arrangements supporting the AI infrastructure boom.

In August, Reuters reported that Nvidia had agreed to provide guarantees of up to $105 billion in connection with an OpenAI data center project in Ohio, alongside a $1.5 billion investment in developer SB Energy.

The guarantees do not represent money already spent or losses incurred. They are financial commitments whose actual exposure depends on contractual conditions and the project's performance.

Such arrangements can help accelerate the construction of infrastructure that might otherwise take years to finance. But when technology suppliers also support the financing of their customers, investors must distinguish between demand generated by sustainable business activity and purchases dependent on continued financial backing.

The issue is not whether AI represents a genuine technological revolution. Its potential to improve medicine, research, manufacturing and education is substantial.

The question is whether the financial structures supporting that revolution are equally sustainable.

The ancient lesson of power and restraint

Long before the emergence of artificial intelligence, Eastern philosophy examined the responsibilities that accompany power.

The I Ching, or Book of Changes, offers the warning Kang Long You Hui (亢龍有悔): A dragon that rises too high may have cause for regret.

The teaching does not reject ambition. Rather, it suggests that success becomes dangerous when those who possess great power lose sight of its limits.

The Tao Te Ching offers a related principle: Zi Sheng Zhe Qiang (自勝者強), meaning that one who masters oneself is truly strong.

For modern corporate leaders, these ideas point toward a practical responsibility. Confidence must be accompanied by self-examination, and the ability to challenge competitors must be matched by a willingness to question one's own judgment.

A chief executive needs the courage to pursue opportunities that others cannot yet see. A chief financial officer must be able to evaluate whether the organization can withstand the risks involved.

Neither function should dominate the other. A mature institution must allow both to operate effectively.

A Korean philosophical text, the Cheon Bu Gyeong (天符經), offers another perspective through the expression In Jung Cheon Ji Il (人中天地一), which may be interpreted as the reconciliation of heaven and earth within the human being.

Although the text's origins and interpretations remain subjects of scholarly debate, the idea provides a useful metaphor for the AI age.

Heaven can represent humanity's aspirations, while earth represents the material realities of capital, energy and resources. Human judgment is required to bring the two into balance.

AI embodies precisely this tension. Its promise is expansive, but its development depends on physical infrastructure, financial resources and institutions capable of managing risk.

For South Korea, the implications are particularly significant.

Samsung Electronics and SK hynix are major suppliers of advanced memory used in AI computing. Their prospects are closely linked to the expansion of data centers and investment by global technology companies.

That relationship creates opportunities, but it also makes understanding the financial health of AI customers increasingly important.

Korean chipmakers must assess not only how many processors and memory chips their customers intend to purchase, but also whether the underlying investments can generate lasting returns. Diversified customers, technological competitiveness and disciplined capital spending will remain essential.

Governments face similar choices. Public support for AI should be guided by credible economic assessments and transparent management of financial and environmental risks.

Nvidia's leadership transition will test whether the company can preserve its technological momentum while strengthening the institutions that support its growth.

The lesson extends beyond one company or one founder.

Technological progress requires imagination, but lasting progress also requires restraint, accountability and the capacity for self-correction.

The ultimate measure of the AI revolution will not be the number of chips sold or the scale of investment announced. It will be whether the technology produces enduring benefits for people and societies.

The challenge for the AI age is therefore not simply to build more powerful machines, but to develop the wisdom to govern the power humanity has created.

* The author, Abe Kwak, is the Chairperson of the Asia-Pacific Media Association based in Seoul.
** The views expressed in this article are solely those of the author and do not necessarily reflect the editorial position of AJP.