Why Trump is Obsessed with ‘Owning’ Greenland
Inside Donald Trump’s “psychological” push for Greenland. From mocking dog sleds to asserting American dominance in the Arctic.
CALIFORNIA — Following a quarter of spectacular growth from Nvidia, many prominent voices in the financial world are doubling down on the belief that the AI surge is a structural, generational shift, not merely a speculative bubble.
Nvidia CEO Jensen Huang directly challenged bubble fears after announcing sales and profits soaring more than 60%. Huang emphasized that Nvidia’s role extends far beyond new generative AI applications, positioning the company as the foundational layer for existing technology services.
\”The world has a massive investment in non-AI software, from data processing to science and engineering simulations, representing hundreds of billions of dollars in cloud computing spend each year,\” Huang said. He noted that much of the infrastructure powering this traditional software is migrating from older CPUs to Nvidia\’s powerful GPUs, cementing the company\’s vital role even if new AI applications take longer to monetize.
Wall Street\’s most enthusiastic bulls agree with this long-term vision. Dan Ives, Senior Equity Analyst at Wedbush, dismissed the bubble concerns entirely.
\”The pure Nvidia numbers/guidance and strategic vision shows the AI Revolution is NOT a Bubble…instead its Year 3 of a 10-year build out of this 4th Industrial Revolution in our view.\”
Ives’ sentiment was echoed by Morningstar’s Brian Colello, who called the current stock pressure a \”buying opportunity,\” predicting no weakness for Nvidia through 2026.
Nvidia CFO Colette Kress supported this forecast, projecting $US3 trillion to $US4 trillion in annual AI infrastructure spending by the decade\’s end. Kress further pointed to the concrete benefits their chips are already delivering to major partners:
AI recommendation systems are driving \”more time spent on apps such as Facebook and Threads.\”
Engineering team efficiency is up 30% due to AI for coding.
The AI company expects to earn $US7 billion in annual revenue this year.
Despite the strong evidence of widespread adoption, the fact that Nvidia\’s stock dipped slightly after the strong report indicates that, while the industry believes the boom is real, it will require continued, verifiable growth to convince a skeptical public and the broader stock market that this massive investment is sustainable.