Gotrade News - Just days after an Asian chip selloff rattled semiconductor stocks, a different signal is coming from the other side of the AI trade: demand. Nvidia CEO Jensen Huang's renewed bullish call on artificial intelligence, together with guidance raises from suppliers Inficon and Schneider Electric and a faster-than-expected product ramp at Seagate, is rebuilding the case that AI-infrastructure spending still has room to run.
For US-listed chip investors, the shift in tone matters. It frames this week's volatility as a debate over the pace of the build-out rather than its end, and puts names like Nvidia and Seagate back in focus.
Key Takeaways
Jensen Huang's bullish AI outlook has revived talk that Nvidia could reclaim a $5 trillion valuation, up from a current market cap of about $4.6 trillion.
Nvidia CFO Colette Kress projects annual AI-infrastructure spending reaching $3 trillion to $4 trillion by the end of the decade.
Chip-tool supplier Inficon raised its 2026 revenue guidance to a range of $750 million to $780 million, citing record orders from logic, memory, and data-center demand.
Seagate's HAMR high-capacity drives are ramping faster than expected on AI data-center storage demand, and Schneider Electric also lifted its outlook on the data-center market.
Huang Puts a $5 Trillion Marker Back on the Table
According to The Motley Fool, Nvidia CEO Jensen Huang's bullish view on AI demand has reopened the debate over whether the company can climb back to a $5 trillion valuation. Nvidia's market cap stood at roughly $4.6 trillion, with the stock at $190.01 and down 3.55% on the day, after recently ceding the title of world's most valuable company to Apple. Speaking in Seoul in early June, Huang urged investors to act aggressively during market weakness in chip stocks. At Nvidia's GTC conference in March, he said the company would collect $1 trillion in chip sales through 2027, doubling an earlier $500 billion forecast.
Act aggressively when there's market weakness. (Jensen Huang, Nvidia CEO, on chip stocks)
The demand backdrop he points to is large. Per the same report, Kress projects AI-infrastructure spending of $3 trillion to $4 trillion a year by the end of the decade, Alphabet lifted its 2026 capital-spending forecast to $200 billion at the midpoint, and Nvidia's most recent quarter showed revenue up 85% and net income up 211% year-on-year. Nvidia also repurchased $19 billion of stock last quarter and is reportedly in talks to guarantee about $250 billion of financing for an OpenAI data center in Ohio, a figure that remains a report rather than a confirmed deal.
Chip Suppliers Raise Their Numbers
The demand story is turning up in supplier guidance. Swiss instrumentation maker Inficon raised its 2026 outlook, lifting expected revenue to a range of $750 million to $780 million from $710 million to $750 million and nudging its operating-margin target to a range of 19% to 20%. According to Investing.com, the company cited an accelerating semiconductor cycle and strong order intake, with record orders during the quarter and a book-to-bill ratio well above 1. Demand was driven by leading-edge logic, high-bandwidth memory, and data-center infrastructure, the same categories at the heart of the AI build-out. Second-quarter sales rose 18.3% to $198.1 million.
The read across the rest of the supply chain was similar. Schneider Electric lifted its own guidance on what it described as a booming data-center market, per Bloomberg, while at Seagate, analysts pointed to AI data-center storage demand and a Mozaic and HAMR product cycle that is delivering faster than expected. Separately, OpenAI finance chief Sarah Friar told staff that the company's July annualized revenue had already outstripped its second-quarter pace, CNBC reported, a sign that the customers funding this spending are still growing quickly.
About $4.6 trillion market cap; $5 trillion back in view on the bull case
AI infrastructure spend (Nvidia CFO)
$3 trillion to $4 trillion per year by end of decade
Alphabet 2026 capex
Raised to $200 billion at the midpoint
Inficon 2026 revenue guidance
Raised to $750 million to $780 million
What It Means for US-Listed Chip Stocks
For Gotrade users, the cleanest way to track the AI-infrastructure demand theme runs through US-listed names. Nvidia (NVDA) sits at the center of it, both as the dominant supplier of AI accelerators and as the source of the $5 trillion debate and the reported OpenAI financing. On the storage side, Seagate (STX) is a more direct play on AI data-center storage demand through its high-capacity HAMR drives. Suppliers such as Inficon and Schneider Electric are not available as fractional shares on Gotrade, so they are more useful as demand indicators than as direct positions.
The broader point is that this week has produced two opposing signals within days of each other: an earnings-driven selloff in Asian memory names, and a fresh set of demand data pointing the other way. Holding both in view, resilient long-term demand set against real questions about the pace of spending, tends to be more useful than treating any single session as the final word on the AI trade.
Gotrade is the trading name of Gotrade Securities Inc., which is registered with and supervised by the Labuan Financial Services Authority (LFSA). This content is for educational purposes only and does not constitute financial advice. Always do your own research (DYOR) before investing.
