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Hong Renxun Advises Tech Leaders to Navigate AI Concerns with Discernment

Hong Renxun Advises Tech Leaders to Navigate AI Concerns with Discernment

April 22, 2026
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At this critical juncture where AI ethics meet national security, NVIDIA CEO Jensen Huang addressed the public at the GTC 2026 conference on Thursday, calling for measured dialogue from tech leaders on AI risks. Huang stressed that while showcasing technology's potential is important, stoking unnecessary fear could backfire and undermine a nation's competitive edge.

His comments arrive as tensions escalate between AI powerhouse Anthropic and the U.S. government. The developer of the Claude chatbot severed ties with the Pentagon after insisting its contracts ban the use of its AI for domestic surveillance and fully autonomous weapons. The Trump administration subsequently labeled Anthropic a "supply chain risk" and moved to cancel all its federal projects.

"It's software, not a sentient being"

Addressing the "AI threat" narrative, Huang offered a grounded perspective. He stated plainly, "AI is not a living creature or an alien intelligence; it lacks consciousness and is, at its core, computer software." He cautioned that extreme, doomsday predictions without solid evidence could cause real-world damage far greater than many realize.

A Bullish Forecast: Trillion-Dollar Revenue Potential

Despite Anthropic's ongoing legal and regulatory challenges, Huang remains optimistic about its financial future. He projected that by 2030, the company's revenue could surpass $1 trillion, suggesting that CEO Dario Amodei's own estimates might be too modest.

The Need for a Diversified Supply Chain

Beyond industry debates, Huang also touched on managing global chip manufacturing risks. He reaffirmed that AI supply chains must be geographically diversified. To mitigate the dangers of over-concentration, NVIDIA is actively expanding production capabilities in South Korea, Japan, and the United States to ensure resilient access to this "strategic resource."

In Huang's view, the greatest risk to U.S. leadership in AI isn't the technology itself, but the innovation stagnation that could result from excessive alarm or distrust. This complex clash over safety, ethics, and national interest is now a defining force reshaping the AI industry.

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