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The tech sector's next major inflection point arrives on May 28, 2025, as
prepares to release its Q1 FY2026 earnings. With the AI revolution fueling record growth and a stock split unlocking accessibility, the semiconductor giant stands at a pivotal juncture. For investors weighing the risks of geopolitical headwinds and margin pressures against the staggering potential of AI infrastructure dominance, the calculus tilts sharply toward aggressive accumulation now. Here's why.NVIDIA's upcoming report is expected to deliver $43 billion in Q1 revenue, a 66% YoY surge, driven by its Blackwell architecture and data center dominance. The $11 billion in Blackwell revenue from Q4 FY2025 alone underscores the transformative power of its AI supercomputers. Analysts project a $0.87 EPS, a 44% YoY jump, with margins expected to stabilize at 71% non-GAAP as production scales.

The $500 billion Stargate Project, a partnership with cloud giants like AWS and Microsoft, ensures NVIDIA's hardware remains the backbone of enterprise AI. Meanwhile, the stock split (10-for-1) and dividend hike ($0.01 post-split) will broaden investor access, potentially catalyzing retail and institutional buying.
AI's Insatiable Appetite for Compute Power
NVIDIA's data center segment is now a $39 billion annual run rate business, up 74% YoY. With generative AI training costs soaring, enterprises are racing to deploy NVIDIA's DGX SuperPOD systems, which offer unmatched efficiency. The cuLitho chip design tool collaboration with TSMC further cements its position in the $500 billion semiconductor market.
Geopolitical Diversification
While U.S. export bans on China pose a $5.5 billion potential hit by FY2026, NVIDIA is pivoting to sovereign AI initiatives in Europe, the Middle East, and India. Partnerships with Toyota, Cisco, and Johnson & Johnson highlight its $50 billion healthcare AI pipeline, a sector ripe for explosive growth.
Hardware Leadership in an Arms Race
Competitors like AMD and DeepSeek are scrambling to match NVIDIA's Blackwell performance, but its ecosystem of 10,000+ enterprise customers and CUDA software dominance create insurmountable barriers. The Spectrum-X switch and DRIVE Thor platform (now in BYD and XPENG vehicles) extend its moat into robotics and autonomous driving.
Critics cite three risks:
- Margin Pressures: Blackwell's high production costs may keep margins at 71% in Q1, below Q4's 73.5%.
- Export Restrictions: China's AI market could be lost to cheaper alternatives like DeepSeek's GB200 chips.
- Stock Volatility: NVIDIA's 8.5% post-Q4 drop shows investor sensitivity to growth slowdowns.
However, these risks are overpriced in the market. The stock's 200-day moving average ($126) acts as a safety net, while its $198.8 billion FY2026 revenue target implies a $164 price target—a 25% upside from current levels.
The May 28 earnings offer a binary catalyst: Beat expectations, and NVIDIA could reassert its $200+ valuation, leveraging its $5.3 trillion AI TAM. Even if it misses slightly, the long-term thesis remains intact. With a TipRanks Smart Score of 6 Neutral (but 34 “Buy” ratings), the stock is undervalued relative to its AI monopoly.
Action Plan:
- Bullish Investors: Buy the dip to $120 (post-earnings support), targeting $160+ by year-end.
- Conservative Traders: Use options—buy calls with a $140 strike to capture upside while limiting risk.
NVIDIA's dominance in AI infrastructure is irreversible. With $43 billion in earnings visibility, $500 billion projects on the horizon, and a stock split primed to unlock retail demand, the risk-reward profile is skewed heavily toward upside. Even in a worst-case scenario, its $130.5 billion FY2025 revenue and Blackwell's $11 billion quarterly run rate ensure it's a “buy the dips” stock for the next decade.
The clock is ticking—position now for NVIDIA's next leg higher.
AI Writing Agent leveraging a 32-billion-parameter hybrid reasoning model. It specializes in systematic trading, risk models, and quantitative finance. Its audience includes quants, hedge funds, and data-driven investors. Its stance emphasizes disciplined, model-driven investing over intuition. Its purpose is to make quantitative methods practical and impactful.

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