NVIDIA, Meta Platforms, and Tesla Shine in Q1 2026 Earnings
Chicago, IL – May 30, 2025 – Zacks Investment Ideas highlights NVIDIA NVDA, Meta Platforms META, and Tesla TSLA today.
NVIDIA Earnings Call: Three Key Insights
NVIDIA’s earnings calls remain dynamic, often revealing unexpected outcomes. Significant areas of focus include GPU demand, AI factory developments, and challenges related to China.
Investors were particularly concerned about two key points ahead of the earnings reveal:
First, clarity around write-downs for lost H20 GPU sales to China was crucial. Guidance confirmed a substantial $15 billion impact in the first half of the year. This consists of a $7 billion hit in Q1 and an $8 billion expectation for Q2.
The CEO, Jensen Huang, stressed the potential $50 billion addressable market in China during the call.
Second, updates on the flagship GB200 NVL72 rack systems were anticipated. NVIDIA had delivered 1,500 GB200 units in April, and investors are hopeful for projections of 5,000 in Q2 or more. A figure above 10,000 would be a strong indicator of bullish sentiment.
Colette Kress, in her opening remarks, confirmed positive expectations, noting that major hyperscalers are each deploying around 1,000 NVL 72 racks, equating to 72,000 Blackwell GPUs weekly. Companies like Microsoft are significantly ramping production, which could lead to over 15,000 GB200 units shipped in Q2.
Such figures helped push NVDA shares to $144 in after-hours trading, with possibilities of rising above $150, as the guidance for only $45 billion seems conservative given the company’s capacity.
Exploring AI Factories
Following Jensen’s keynote at Computex, significant interest emerged regarding the “AI factories” concept. Colette confirmed strong demand, stating, “Our customers’ commitments are firm.”
This aligns with a 73% growth in Datacenter revenue, indicating that substantial capital investments are being made in AI infrastructure, which costs about $3 million per setup. Investors are right to question the sustainability of this demand trend.
Key players, including CSPs like Microsoft Azure, Amazon AWS, and Tesla, have shown an insatiable appetite for NVIDIA’s offerings as they engage in a massive infrastructure build-out expected to continue for two to three years.
Jensen indicated that the rapid demand for AI-driven technologies is akin to having multiple government contracts, further supported by upcoming advancements in robotics.
NVIDIA’s Upcoming Product Cycle: A Seamless Transition
NVIDIA plans to begin shipping the next generation, the GB300, later this quarter. This system will maintain compatibility with GB200, allowing for a smooth transition and consistent performance.
Colette stated that the GB300’s design would enable CSPs to continue leveraging existing architecture, avoiding obsolescence. NVIDIA’s approach is compared to the iPhone cycle, enhancing integration and year-on-year performance improvements.
With ongoing upgrades, Colette noted a fourfold increase in inference performance for previous systems, which highlights the benefits of NVIDIA’s programmable architecture.
The Broader Economic Impact of AI Factories
In discussions surrounding AI factories, nation-states are emerging as crucial stakeholders. Jensen posits that countries must control their own data, not only for security but also for economic reasons.
This trend signals an emerging race to harness national resources and data for wealth creation. Enterprises and robotics firms are already leveraging advanced simulation and synthetic data training, as evidenced by BMW’s innovative deployment of NVIDIA technology.
# NVIDIA Expands AI Factory Initiatives Amid Export Control Concerns
## AI Factory Expansion
NVIDIA is seeing a surge in AI factory projects across various sectors. Colette referenced that NVIDIA’s architecture supports deployments as companies like AT&T and MediaTek announce significant sovereign cloud projects in regions like Saudi Arabia and Taiwan. The company anticipates projects needing extensive NVIDIA AI infrastructure shortly.
In the current quarter, nearly 100 NVIDIA-powered AI factories are set to launch, doubling last year’s figures. The average number of GPUs per factory has also increased significantly.
## Export Control and AI Development in China
Jensen Huang, NVIDIA’s CEO, discussed the implications of export controls on AI development in China. He emphasized that China represents a massive AI market and holds half of the world’s AI researchers. Current U.S. policies effectively bar access to this $50 billion market.
Huang pointed out that by withholding technology, the U.S. inadvertently empowers Chinese innovation. He argued that the U.S. risks losing its leadership in global AI infrastructure, as China will continue to develop independently.
In his observations:
– **China’s AI Development**: The country keeps advancing in AI regardless of U.S. chip availability.
– **Innovation Stimulation**: U.S. export restrictions can provoke Chinese growth in AI technology.
– **Manufacturing Capability**: China’s capabilities are underestimated, as it possesses significant production resources.
– **Preferred Platforms**: The U.S. must maintain its dominance in open-source AI to influence global development.
## Financial Outlook
NVIDIA shares are projected to open above $140. Initial selling may be an opportunity for buyers, fueled by strong demand trends leading to potential sales of $50 billion this quarter.
Looking ahead, NVIDIA aims for $500 billion in annual revenues within five years, projecting a compound annual growth rate of 38%. This growth positions NVIDIA to potentially exceed $1 trillion in sales by the 2030s, establishing it as a leading market player.
### Conclusion
NVIDIA is solidifying its role in the AI landscape while confronting challenges from U.S. export policies concerning China. The ongoing demand for its technology indicates a promising financial future.
5 Stocks Our Experts Predict Could Double In the Next Year
By submitting your email, you'll also get a free pivot & flow membership. A free daily market overview. You can unsubscribe at any time.
