Trump Taps Huang Renxun: AI Risk Theory Defined Directly as a Scam
A live-streamed call has sparked heated discussion in the AI community. In the conversation with Nvidia CEO Jensen Huang, Trump directly labeled AI risk theories as a scam, calling it a political power struggle. Huang immediately echoed the remark, saying he would not let AI development hit the “brakes.”
But beneath the surface, each side has its own stance and motives.
One camp argues that AI should “hit the brakes,” yet it continues to iterate large models and is simultaneously expanding into cybersecurity businesses. On the other side, Trump’s logic is rather straightforward: votes and the stock market are the core priorities. He likens data centers to “future oil,” so naturally he is unwilling to loosen the throttle for AI industry growth.
From an industry perspective, such remarks are positive for AI infrastructure sectors—compute, data centers, and power—where related stocks may see sentiment-driven momentum. In contrast, companies focused on AI safety ethics and AI regulation may find near-term expectations of policy tailwinds constrained.
That said, the capital market is not blindly chasing the trend. On Monday, Nvidia’s share price actually fell by 3.4%. This suggests that investors still remain divided: even if rhetoric calls for opening up AI development, the final verdict still depends on whether downstream orders can be fulfilled.
Slogans are easy to say, but industrial rollout and demand growth still need time and evidence. Going forward, it’s important to keep tracking real business data.
#Nvidia #AI算力
A live-streamed call has sparked heated discussion in the AI community. In the conversation with Nvidia CEO Jensen Huang, Trump directly labeled AI risk theories as a scam, calling it a political power struggle. Huang immediately echoed the remark, saying he would not let AI development hit the “brakes.”
But beneath the surface, each side has its own stance and motives.
One camp argues that AI should “hit the brakes,” yet it continues to iterate large models and is simultaneously expanding into cybersecurity businesses. On the other side, Trump’s logic is rather straightforward: votes and the stock market are the core priorities. He likens data centers to “future oil,” so naturally he is unwilling to loosen the throttle for AI industry growth.
From an industry perspective, such remarks are positive for AI infrastructure sectors—compute, data centers, and power—where related stocks may see sentiment-driven momentum. In contrast, companies focused on AI safety ethics and AI regulation may find near-term expectations of policy tailwinds constrained.
That said, the capital market is not blindly chasing the trend. On Monday, Nvidia’s share price actually fell by 3.4%. This suggests that investors still remain divided: even if rhetoric calls for opening up AI development, the final verdict still depends on whether downstream orders can be fulfilled.
Slogans are easy to say, but industrial rollout and demand growth still need time and evidence. Going forward, it’s important to keep tracking real business data.
#Nvidia #AI算力