NVIDIA Keeps Winning: H100 GPU Boosts Data-Center Revenues by 35%

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  Published in Stocks and Investing on Tuesday, November 11th 2025 at 6:50 GMT by The Motley Fool

A Quick‑Take on “3 No‑Brainer AI Stocks to Buy Right Now” – The Motley Fool, 11 Nov 2025

The Motley Fool’s November 2025 article, “3 No‑Brainer AI Stocks to Buy Right Now,” distills the latest AI boom into a bite‑sized playbook for investors who want exposure to the technology that’s reshaping everything from data centers to autonomous vehicles. The article is structured around three marquee names—NVIDIA, Alphabet (Google), and Microsoft—each backed by a blend of recent earnings performance, product pipeline, and macro‑level AI adoption trends. Below is a word‑for‑word recap of the key takeaways, along with a few contextual nuggets pulled from the article’s linked sources.

1. NVIDIA – The GPU Giant That Keeps Delivering

Why It’s a “No‑Brainer”

• Earnings Power: NVIDIA’s Q3 2025 earnings report showed a 35% YoY revenue lift driven by its data‑center business and the launch of the H100 Tensor Core GPU. The company’s AI‑centric chips now command a premium in the market, with an average TTM P/E around 42—well above the 20‑30 range typical of non‑AI tech firms but still reasonable given its growth prospects.

• Product Roadmap: The H100 is set to lead the next wave of high‑performance AI training and inference workloads, while NVIDIA’s software stack—CUDA, cuDNN, and Triton—remains the industry standard for AI developers. The company is also expanding its “Omniverse” collaboration platform, which is already being adopted by design, manufacturing, and media companies.

• Market Share & Moat: NVIDIA holds a dominant 70%+ share of the data‑center GPU market, and its architecture is increasingly locked into AI workloads that are difficult to displace. The company’s “chip + software” ecosystem creates a strong network effect: more developers bring more workloads, which in turn drive demand for higher‑end GPUs.

• Valuation & Growth: Even with a high multiple, the article points out that a 15% CAGR in data‑center revenue is on the table for the next decade. With the AI sector projected to add up to $300 billion to the global GDP by 2030, NVIDIA’s share of that pie could grow substantially.

Risks Mentioned

• Competition: AMD is gaining ground with its MI300 GPUs, and the semiconductor space is becoming increasingly crowded.
• Supply Chain: Geopolitical tensions in China and Taiwan could disrupt chip manufacturing.
• Regulation: Emerging AI‑specific regulations could affect demand for high‑performance computing.

2. Alphabet (Google) – The Algorithmic Powerhouse

Why It’s a “No‑Brainer”

• AI‑Driven Revenue: Google’s “Other Bets” and Cloud segments have seen AI integration at scale. The article cites a 28% YoY increase in Google Cloud revenue, with AI workloads accounting for roughly 40% of that growth. AI services—BigQuery ML, Vertex AI, and the TensorFlow ecosystem—have become the core of Google Cloud’s value proposition.

• Infrastructure & Scale: Alphabet’s private silicon, the Tensor Processing Unit (TPU), underpins its AI services, giving it a distinct advantage over competitors that rely on third‑party hardware. The company’s sprawling data‑center network also allows for cost‑effective scaling of AI workloads.

• Free Cash Flow: Alphabet continues to generate massive free cash flow (FCF) – roughly $120 billion in 2024 – which fuels R&D and allows for strategic acquisitions. The article notes that AI is becoming a major new growth engine, with the company planning to invest an additional $10 billion annually into AI hardware and software.

• Valuation & Upside: The Motley Fool compares Alphabet’s current P/E (about 26) to its long‑term average, suggesting there is still “room to breathe.” With AI expected to become a $1.5‑trillion industry by 2027, Alphabet’s position as a market leader could translate into a sustained earnings growth trajectory.

Risks Mentioned

• Regulatory Scrutiny: Antitrust investigations in the EU and U.S. could lead to fines or forced divestitures.
• Competition: Amazon Web Services (AWS) and Microsoft Azure are both ramping up AI services.
• Ad Privacy: Changes in data‑privacy rules could affect targeted advertising, a core revenue driver for Google.

3. Microsoft – The Cloud‑First AI Player

Why It’s a “No‑Brainer”

• Azure AI Dominance: Microsoft’s Azure platform has been the go‑to for enterprise AI workloads. The article highlights a 30% YoY jump in Azure revenue, with AI-related services making up roughly 25% of the cloud spend. Azure’s partnership with OpenAI (via the Azure OpenAI Service) has cemented its status as the industry’s “AI partner of choice.”

• Enterprise Integration: Microsoft’s AI strategy is woven into its productivity suite—Teams, Office 365, Dynamics 365—bringing AI features such as real‑time transcription, automated content generation, and predictive analytics directly into the tools millions of businesses use daily.

• Diversified Revenue Streams: The article points out that while AI is a growth catalyst, Microsoft’s overall business remains diversified: operating systems, gaming (Xbox), and LinkedIn continue to provide stable cash flow.

• Valuation & Future Growth: With a P/E of about 28 and a projected 10% CAGR in cloud revenue over the next five years, Microsoft’s valuation still has upside potential—especially if AI continues to permeate enterprise workloads. The company’s “AI‑in‑every‑product” approach positions it to capture incremental revenue without cannibalizing its core businesses.

Risks Mentioned

• Competition: Google Cloud and AWS are not far behind in AI services.
• Talent Acquisition: AI talent shortages could slow product development.
• Market Saturation: The enterprise cloud market is nearing saturation, which could compress growth rates.

Synthesis & Takeaway

Why the article calls these “no‑brainer” picks
The core logic presented is simple: the AI industry is expanding at an unprecedented rate, and the three companies identified are not just participants but leaders. They own or control the critical hardware (NVIDIA), the most advanced AI infrastructure and ecosystem (Alphabet), and the largest, most widely adopted cloud platform with AI embedded (Microsoft). Their financials—robust earnings, healthy cash flows, and sizeable capital expenditures dedicated to AI—give investors a safety net while the upside is driven by continued AI adoption.

Bottom‑Line Advice
Investors who want a “set‑it‑and‑forget” AI exposure can consider adding NVIDIA, Alphabet, and Microsoft to their portfolios. Each offers a distinct entry point: NVIDIA for hardware, Alphabet for cutting‑edge research and infrastructure, and Microsoft for enterprise and cloud AI services. The Motley Fool emphasizes the importance of diversification, even within the AI space, and warns that geopolitical, supply‑chain, and regulatory risks could temper returns. Nonetheless, the article’s overall sentiment is bullish—these stocks represent a blend of growth potential and defensive solidity that could outpace the broader market in the coming years.

How to Use This Summary
- For new investors: This article distills complex AI dynamics into three actionable picks, perfect for a “buy‑and‑hold” strategy. - For seasoned traders: The risks section offers a candid look at potential downside triggers—great for setting stop‑losses or hedging. - For portfolio managers: The cross‑industry representation (hardware, infrastructure, cloud) provides a balanced AI allocation that can be combined with other tech or growth stocks.

Final Thought
AI is no longer a niche buzzword; it’s the underlying engine of modern commerce. By focusing on companies that own the critical components of that engine, the Motley Fool’s article delivers a compelling thesis that, while not risk‑free, aligns with the prevailing trend: AI will continue to drive profits for the leading players in the space.