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Nvidia’s Record Quarter Puts AI Spending Back in Focus
A Record Quarter Tests the Staying Power of the AI Boom
February 26, 2026
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AI spending powers ahead as chip demand drives markets higher.
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Good Morning, Nvidia posted a record quarter, easing fears that AI spending might be slowing. We break down what the company reported, why it steadied sentiment across tech, and where export controls and rich valuations could still create pressure. If you’re indexed to the S&P or concentrated in AI leaders, this is the story to watchBinance faces Senate scrutiny over alleged sanctioned transactions, Germany confronts slowing exports and rising populism amid economic strain, and Egypt secures $2.3B in IMF funding as reforms stabilize inflation but regional risks persist. Don't forget to voice your opinion in my polls below. Here are your Morning Bullets. – Truly yours, Fred Frost |
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The Big BulletNvidia posted a record quarter, keeping the AI spending story aliveWhat happened: Nvidia reported a strong quarter that it called a record, with results that pointed to heavy demand for AI computing power. Nvidia’s record quarter and what it signals for CFOs framed it as a new benchmark for how much companies are willing to spend on “compute.” Before the market opened, investors watched the stock closely as the numbers settled in. Coverage of the market’s reaction to Nvidia’s earnings showed the early moves across Nvidia and other big names. The key takeaway was that AI-related demand did not cool off in the latest report. Traders also compared Nvidia’s results to other earnings releases happening the same day. The news landed during a period when markets have been sensitive to any sign of slowing growth. Overall, the report added fresh data to the debate about whether the AI boom is still speeding up or starting to level out. Why it matters: Nvidia’s results matter because the company sits near the center of AI hardware spending, and many large tech firms rely on its chips. When Nvidia beats expectations, it can lift confidence in the broader tech sector, especially companies tied to data centers and cloud services. After the report, markets looked steadier as Nvidia’s earnings eased some AI worries, showing how one company’s numbers can influence sentiment. But not everyone is fully convinced, and one bearish Nvidia analyst highlighted risks investors are still weighing after the release. For retail investors, this is a reminder that a hot theme can still swing sharply on guidance and expectations. It also affects index funds, since mega-cap tech can move big market benchmarks. If AI spending stays strong, it may support earnings across parts of the tech supply chain. If it slows, expensive valuations could come under pressure quickly. What’s next: Investors will watch how Nvidia’s stock trades after the first full day of price discovery, not just the premarket moves. The next step is how other companies in the AI ecosystem respond, including firms that buy large amounts of computing power. Daily market focus will also stay on which stocks are moving most around this news, like in the list of the biggest premarket movers. Another near-term issue is geopolitics and sales limits, especially after reporting on Nvidia’s China chip sales and export-control pressures. If overseas sales stay uncertain, investors may adjust their expectations for future growth. Watch for follow-up commentary from major customers about their AI budgets and timing. Keep an eye on whether competitors gain ground if supply or policy limits Nvidia’s reach. Finally, the market’s reaction will depend on whether future guidance continues to confirm strong demand instead of one-time strength.
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Last time, I asked you: Who do you think is most at fault if AI models are being copied?
The majority of you at 28% said "U.S. tech companies for not protecting their models better"
Nicole from South Carolina replied: “I think U.S. tech companies are most at fault because they should have done a better job protecting their AI models.”
Here's what I'm asking you today:
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