NEW YORK — As the artificial intelligence boom reshapes the semiconductor industry in 2026, investors face a clear choice between NVIDIA Corp. and Intel Corp.: the undisputed leader in AI accelerators versus a struggling giant attempting a high-stakes turnaround. While both companies are central to the future of computing, NVIDIA remains the overwhelming favorite among analysts for its explosive growth, dominant market position and proven ability to monetize the AI supercycle, making it the stronger buy for most portfolios this year.

NVIDIA shares have continued their remarkable run, recently trading near $215 after multiple splits and years of outsized gains. The company’s data-center revenue, powered by its H100, H200 and Blackwell GPUs, has more than doubled year-over-year, with gross margins staying exceptionally high. Analysts project NVIDIA could generate well over $100 billion in revenue in fiscal 2026, driven by insatiable demand for AI training and inference chips from hyperscalers and enterprises alike.

Intel, by contrast, has shown signs of life with recent rallies but continues to lag far behind. Shares have been volatile around the $120–$125 level after a sharp recovery from multi-year lows. The company is investing billions in new process technologies and its foundry business, but execution delays, lost CPU market share and slower AI accelerator progress have kept investors cautious. First-quarter results showed improvement, yet Intel still trails NVIDIA dramatically in the high-growth AI segment.

NVIDIA’s Dominance in AI Infrastructure

NVIDIA’s moat in AI is formidable. Its CUDA software platform creates massive switching costs, while its full-stack offerings — chips, networking, software and systems — give it an edge competitors struggle to match. CEO Jensen Huang has described the current era as the “AI industrial revolution,” with data-center revenue expected to remain the primary growth engine for years. Analysts at firms like Goldman Sachs and Piper Sandler have raised price targets, citing sustained capital expenditure by cloud providers and broadening AI adoption across industries.

The company’s recent Blackwell architecture launch has generated strong pre-orders, and supply constraints continue to support premium pricing. NVIDIA’s diversification into automotive, robotics and professional visualization provides additional stability, but AI remains the clear focus. Forward growth estimates remain robust, with many analysts forecasting 40%+ annual revenue increases through the end of the decade.

Intel’s Turnaround Efforts Face Steep Challenges

Intel is attempting one of the most ambitious corporate repositionings in tech history. Under CEO Pat Gelsinger, the company has split into product and foundry units, secured CHIPS Act funding and invested heavily in new fabs. Recent Gaudi 3 AI accelerators have shown promise on cost-per-performance metrics, and the 18A process node is expected to enter production later this year.

However, Intel continues to lose ground in both traditional CPUs and the exploding AI market. Market share erosion to AMD and NVIDIA has pressured margins, and the foundry business is still burning cash as it ramps. While some analysts see long-term potential if execution improves, most view Intel as a higher-risk recovery story compared with NVIDIA’s proven momentum.

Direct Comparison: Growth, Valuation and Risks

NVIDIA trades at a premium valuation but justifies it with superior growth rates and market leadership. Intel appears cheaper on traditional metrics yet carries higher execution risk and slower near-term growth. Analysts generally favor NVIDIA for its clearer path to sustained high-teens or low-20s percentage earnings growth, while Intel is seen as a value play that could deliver strong returns only if its turnaround succeeds.

Both companies face macroeconomic and geopolitical risks, including potential AI spending slowdowns, trade tensions and energy costs for data centers. NVIDIA’s customer concentration with a handful of hyperscalers is a notable risk, though its technology lead mitigates this. Intel’s heavy capital expenditure and slower AI progress make it more vulnerable to near-term disappointment.

Analyst Consensus and Investor Considerations

Wall Street remains overwhelmingly bullish on NVIDIA, with nearly all major firms rating it Buy or Strong Buy. Intel receives more mixed views, with some analysts seeing recovery potential and others remaining skeptical. For growth-oriented investors, NVIDIA offers purer exposure to the AI megatrend. For value-focused or contrarian investors, Intel may appeal as a deeply discounted turnaround candidate, though with considerably higher risk.

Long-term, both companies are expected to benefit from the broader AI wave, but NVIDIA’s first-mover advantage and ecosystem lock-in give it a structural edge. Investors should consider portfolio allocation, risk tolerance and time horizon. Those seeking high-beta AI exposure will lean heavily toward NVIDIA, while more conservative accounts may prefer a smaller position in Intel as a diversified semiconductor holding.

Broader Market Context

The semiconductor sector in 2026 continues to be defined by the AI buildout. NVIDIA’s performance has become a bellwether for the entire industry, with its results often moving the Nasdaq and influencing sentiment toward peers. Intel’s turnaround is closely watched as a test of whether legacy U.S. chipmakers can successfully compete in the new AI era.

For individual investors, the choice between the two comes down to conviction in the pace and breadth of AI adoption. If the current momentum persists, NVIDIA appears best positioned to deliver superior returns. Intel offers a higher-risk, higher-reward recovery story that could pay off handsomely if management hits key milestones.

As 2026 progresses, quarterly results from both companies will be scrutinized for signs of sustained AI demand and execution progress. NVIDIA’s ability to maintain its leadership and Intel’s success in narrowing the gap will shape the semiconductor landscape for years to come. For now, the consensus among analysts and investors favors NVIDIA as the clearer and lower-risk way to participate in the AI revolution.

Operator

Hello, and thank you for standing by. My name is John, and I will be your conference operator today. At this time, I would like to welcome everyone to the Dexterra Group, Inc. First Quarter 2026 Results Conference Call. [Operator Instructions] As a reminder, this call is being recorded. I would now like to turn the conference over to Denise Achonu, Chief Financial Officer. Please go ahead. Thank you, John.

Denise Achonu
Chief Financial Officer

Good morning, and thank you to everyone for joining the call. My name is Denise Achonu, Chief Financial Officer of Dexterra Group Inc. With me on the call today are Mark Becker, our CEO; and our Board Chair, Bill McFarland, who will provide some brief introductory comments. After a brief presentation, we will take questions with the call ending by 9:15 Eastern Time. We will be commenting on our Q1 2026 results with the assumption that you have read the Q1 2026 earnings press release, MD&A and financial statements. The slide presentation, which supports today’s comments is posted on our website, and we encourage participants to access the slides and follow along with our presentation.

Before we begin, I would like to make some comments about forward-looking information. In yesterday’s news release and on Slide 2 of the presentation we have posted on our website, you will find cautionary notes in that

Operator

Hello, everyone. Thank you for joining us, and welcome to the RxSight First Quarter 2026 Earnings Conference Call. [Operator Instructions].

[Operator Instructions] I will now hand the conference over to Oliver Moravcevic, VP, Investor Relations. Please go ahead.

Oliver Moravcevic
Vice President of Investor Relations

Thank you, operator. With me on the call today are RxSight President and Chief Executive Officer, Dr. Ron Kurtz; and Chief Financial Officer, Mark Wilterding.

Earlier today, RxSight released financial results for the three months ended March 31, 2026. A copy of the press release is available on the company’s website. Before we begin, I would like to remind you that the comments and responses to questions during today’s call reflect management’s views as of today and will include forward-looking and opinion statements, including predictions, estimates, plans and expectations.

Actual results may differ materially from those expressed or implied as a result of certain risks and uncertainties. These risks and uncertainties are more fully described in our press release issued today and in our filings with the Securities and Exchange Commission, or SEC. Our SEC filings can be found on the website or on SEC’s website.

Investors are cautioned not to place undue reliance on forward-looking statements, and we disclaim any obligation to update or revise these forward-looking statements, except

NEW YORK — As artificial intelligence continues to reshape industries and drive record capital spending in 2026, investors are looking for the strongest ways to participate in what many analysts call the defining technological megatrend of the decade. From chipmakers powering data centers to software platforms embedding AI into everyday tools, a select group of companies stands out for their technological leadership, revenue momentum and long-term growth potential. Here are the 10 best AI stocks to consider buying in May 2026, based on current analyst consensus, earnings trajectories and market positioning.

1. NVIDIA Corp. (NVDA) The undisputed leader in AI accelerators remains the top pick for most investors. NVIDIA’s GPUs power the majority of the world’s AI training and inference workloads. With Blackwell architecture ramping and strong demand from hyperscalers, the company is on track for explosive growth. Analysts project sustained high-teens to low-20s percentage revenue increases for years, supported by its unmatched CUDA software ecosystem.

2. Microsoft Corp. (MSFT) Through its Azure cloud platform and deep partnership with OpenAI, Microsoft has become a major AI infrastructure and application provider. Copilot tools are being integrated across Office, GitHub and Windows, creating massive cross-selling opportunities. The company’s consistent execution and diversified revenue streams make it a lower-volatility way to play the AI boom.

3. Alphabet Inc. (GOOGL) Google’s parent company continues to lead in AI research and deployment through Gemini models and its vast cloud infrastructure. Strong advertising revenue provides a stable base while AI investments in search, YouTube and enterprise tools accelerate. Analysts highlight Alphabet’s ability to monetize AI at scale across multiple products.

4. Amazon.com Inc. (AMZN) AWS remains the world’s largest cloud provider and is rapidly expanding its AI offerings with custom chips and services. Amazon’s e-commerce scale and advertising business provide additional growth levers. The company’s heavy investment in AI infrastructure positions it well for sustained market share gains.

5. Broadcom Inc. (AVGO) A major supplier of custom AI accelerators and networking chips for hyperscalers, Broadcom has seen its AI revenue more than double in recent quarters. Its diversified portfolio and strong relationships with large cloud customers make it a key indirect play on AI infrastructure buildout.

6. Advanced Micro Devices Inc. (AMD) AMD has emerged as NVIDIA’s strongest competitor in AI accelerators with its MI300 series. The company is gaining share in both data center and client AI segments. Analysts see AMD as a high-beta way to benefit from overall AI chip demand growth.

7. Palantir Technologies Inc. (PLTR) Specializing in AI-powered data analytics platforms, Palantir has won major government and commercial contracts. Its software helps organizations operationalize AI at scale. Strong commercial momentum and expanding margins have driven significant investor interest in 2026.

8. Tesla Inc. (TSLA) Beyond electric vehicles, Tesla is aggressively investing in AI for autonomous driving, robotics and energy optimization. Optimus humanoid robots and Full Self-Driving technology represent substantial long-term AI opportunities that could dwarf its auto business.

9. Meta Platforms Inc. (META) Meta is embedding AI deeply into its social platforms, advertising tools and metaverse ambitions. Its open-source Llama models have gained significant traction, and AI-driven ad targeting continues to boost revenue. The company’s massive user base provides a unique testing ground for AI applications.

10. Arm Holdings plc (ARM) As the architecture behind most mobile and increasingly AI chips, Arm benefits from the proliferation of AI across devices and data centers. Its royalty-based model offers high margins and broad exposure to the entire semiconductor industry’s AI transition.

Why These Stocks Stand Out

These 10 companies share several common traits: strong competitive moats, exposure to multiple layers of the AI stack, robust balance sheets and proven execution in a rapidly evolving market. While NVIDIA dominates headlines, the group offers diversified ways to participate — from pure hardware plays to software, cloud and application layers.

Analysts emphasize that the AI opportunity remains in early stages. Enterprise adoption is accelerating, sovereign AI initiatives are expanding globally, and new use cases in robotics, healthcare and scientific research continue to emerge. Most of these companies are expected to deliver compound annual growth rates well above the broader market for the foreseeable future.

Risks Investors Should Consider

Despite the excitement, risks remain significant. High valuations leave limited room for disappointment if AI spending slows or returns disappoint. Geopolitical tensions, particularly around semiconductor supply chains in Asia, could disrupt growth. Regulatory scrutiny of Big Tech and potential energy constraints for data centers are also factors.

Investors should size positions appropriately and maintain diversification. While these stocks have strong fundamentals, technology sectors can experience sharp drawdowns during market rotations or economic slowdowns.

Market Context in May 2026

The broader market has shown resilience in 2026, supported by solid corporate earnings and moderating inflation. AI-related stocks have outperformed significantly, but rotation into smaller names and more cyclical sectors has created periodic volatility. Quality growth companies with clear AI tailwinds, like those on this list, have generally held up well during pullbacks.

Institutional investors continue to favor established leaders with scale and proven technology over speculative smaller AI plays. This environment favors the more mature companies on this list.

Final Thoughts for Investors

For those building or adjusting portfolios in May 2026, these 10 AI stocks represent a strong starting point for exposure to the most transformative technology of our time. Whether you prefer pure-play hardware leaders like NVIDIA, diversified tech giants like Microsoft and Amazon, or specialized players like Palantir and Arm, the common theme is participation in a secular shift expected to drive trillions in economic value over the coming decade.

As always, conduct thorough due diligence, consider your risk tolerance and time horizon, and consult with a financial advisor. The AI boom is real, but successful investing requires patience and a focus on companies with durable advantages rather than short-term hype. These 10 names currently stand out as the best-positioned to deliver both growth and long-term shareholder value in the evolving AI landscape.