Top US Stocks for 2027: Where Could Your Money Grow the Most?

Investment disclaimer: This article is for educational and informational purposes only. Stock markets involve risk, and past performance does not guarantee future returns. Investors should research a company’s financials, valuation and risk profile or consult a qualified financial professional before investing.

If you are searching for the best US stocks to buy in 2027, one name stands out because of its position at the centre of the artificial intelligence revolution: NVIDIA (NASDAQ: NVDA).

But buying a stock simply because it is popular can be dangerous. By 2027, investors will have to look beyond AI excitement and ask a more important question: Which companies can convert AI demand into sustainable revenue, profits and cash flow?

Based on business strength, AI exposure, competitive advantages, financial performance and long-term growth potential, NVIDIA is my top US stock to watch for 2027. Microsoft, Alphabet, Amazon and Broadcom also deserve attention.

This article explains why these companies could perform well, how investors could approach them, their potential and the major risks involved.

Related reading: Best Investment Plans for Long-Term Wealth Creation

Top 5 stocks to Buy in 2027

1. NVIDIA (NVDA): My Top US Stock for 2027

If I had to select one US stock to research for 2027, NVIDIA would be at the top of my list.

The reason is simple: AI requires enormous computing power, and NVIDIA has built one of the strongest ecosystems around accelerated computing.

NVIDIA is not just a graphics-chip company anymore. Its business includes GPUs, networking, software, AI platforms and complete data-centre systems.

The company’s fiscal 2027 first-quarter results showed just how strong the AI infrastructure cycle had become. NVIDIA reported $81.6 billion in quarterly revenue, up 85% year over year, while Data Center revenue reached $75.2 billion, up 92%. The company also guided for approximately $91 billion of revenue for fiscal Q2 2027. (NVIDIA Investor Relations)

That is an extraordinary growth rate for a company of NVIDIA’s size.

Why could NVIDIA grow in 2027?

The next stage of AI may require even more computing power.

Generative AI is expanding into AI agents, autonomous systems, enterprise software, robotics and advanced inference. NVIDIA is positioning its newer architectures, including Blackwell and Vera Rubin, for this expanding market.

The company has also announced partnerships involving major cloud providers and large technology companies. (NVIDIA Investor Relations)

The important point is that NVIDIA has created an ecosystem rather than selling a single chip.

Its CUDA software platform, networking technology and AI systems make it harder for customers to switch completely to alternatives.

NVIDIA’s potential

The upside case for NVIDIA depends on three things:

1. AI infrastructure spending continues growing.
2. NVIDIA maintains its technology advantage.
3. AI companies and cloud providers continue buying large quantities of GPUs and networking equipment.

If these conditions remain favourable, NVIDIA could potentially continue delivering strong earnings growth through 2027 and beyond.

However, investors should not assume that past growth rates will continue forever.

NVIDIA risks

The biggest risk is valuation.

A fantastic company can still become a poor investment if an investor pays too much for it.

Other risks include:

• AMD and other semiconductor competitors
• Custom AI chips developed by Amazon, Google and Microsoft
• US-China export restrictions
• Dependence on major hyperscale customers
• AI spending slowing after massive infrastructure investment
• Semiconductor supply-chain problems
• Rapid changes in AI technology

Therefore, NVIDIA may have the highest growth potential on this list, but it also carries substantial risk.

2. Microsoft (MSFT): A Safer Way to Invest in the AI Revolution

If NVIDIA represents the infrastructure behind AI, Microsoft represents the business application and cloud side of the AI revolution.

Microsoft owns Azure, Microsoft 365, Windows, GitHub, LinkedIn and a huge enterprise software ecosystem.

Its advantage is diversification.

Even if one AI product fails, Microsoft has multiple businesses generating revenue.

Microsoft’s fiscal 2026 third-quarter results showed Intelligent Cloud revenue increasing 30%, while Azure and other cloud services grew 40%. (Microsoft)

That makes Microsoft one of the most interesting long-term stocks for 2027.

Why buy Microsoft?

The company can monetise AI through several channels.

Businesses are already paying for cloud computing. Microsoft can add AI services to Azure and productivity products such as Microsoft 365.

GitHub Copilot and enterprise AI tools provide additional opportunities.

Microsoft also has a massive installed customer base. This is extremely important because selling an AI service to an existing enterprise customer can be easier than acquiring a completely new customer.

Microsoft growth potential

The biggest opportunity is the combination of Azure + AI + enterprise software.

Microsoft expects to continue investing heavily in data-centre capacity. During its fiscal 2026 Q3 earnings call, the company said it expected calendar-year 2026 capital expenditure of roughly $190 billion, while also saying demand remained strong and capacity constrained. (Microsoft)

If these investments produce strong returns, Microsoft’s AI business could become a major long-term earnings driver.

Microsoft risks

The major risks include:

• Extremely high AI infrastructure spending
• Competition from Amazon AWS and Google Cloud
• AI products not monetising quickly enough
• Regulatory pressure
• Cybersecurity threats
• High valuation

For investors who want AI exposure but prefer a more diversified business than a pure semiconductor company, MSFT could be one of the strongest candidates for 2027.

3. Alphabet (GOOGL): The Underrated AI Opportunity

Alphabet is another company I would keep on a 2027 watchlist.

Many investors immediately think of Google Search when they hear Alphabet. But the company’s future could increasingly depend on Google Cloud, AI models, advertising technology and its massive technology ecosystem.

Google has one major advantage: enormous amounts of data, computing infrastructure and global distribution.

Its Gemini AI family gives Alphabet a direct competitor in the rapidly expanding AI market.

Why could Alphabet perform well?

Google can potentially monetise AI through:

• Search
• Advertising
• Google Cloud
• Gemini
• YouTube
• Enterprise AI tools
• AI-powered productivity products

Google Cloud is particularly important because AI workloads require cloud infrastructure.

Alphabet therefore has exposure to both AI applications and AI infrastructure.

The stock can also offer a different risk/reward profile compared with NVIDIA because Alphabet has a huge established advertising business.

Alphabet’s potential

If Alphabet successfully integrates AI into Search without destroying the economics of its advertising business, it could create a powerful long-term growth engine.

Google Cloud growth could provide another major source of earnings.

The biggest question for 2027 will be whether Alphabet can maintain its leadership in search while successfully competing with Microsoft, OpenAI and other AI companies.

Risks

Alphabet investors should monitor:

• AI competition
• Search disruption
• Government antitrust actions
• High AI infrastructure spending
• Advertising slowdown
• Rising competition in cloud computing

Still, for long-term investors, GOOGL deserves serious consideration for 2027.

4. Amazon (AMZN): AI, AWS and E-Commerce Combined

Amazon is another stock that could benefit significantly from AI growth.

The company’s biggest financial engine is Amazon Web Services, or AWS.

AI applications require enormous amounts of computing, storage and networking infrastructure. That creates an opportunity for cloud providers.

Amazon also has an enormous e-commerce business, advertising operation and logistics network.

This diversification makes Amazon particularly interesting for investors who want exposure to AI without investing exclusively in semiconductor companies.

Recent market coverage has highlighted NVIDIA and Amazon among major AI-related stocks attracting investor attention. (Investor’s Business Daily)

Why buy Amazon for 2027?

The investment thesis is based on three major engines:

AWS: Cloud computing and AI infrastructure.

Advertising: Amazon’s advertising business has become increasingly important.

E-commerce: Efficiency improvements and logistics scale can support long-term profitability.

Amazon can potentially benefit from AI both as a seller of computing infrastructure and as a user of AI to improve its own operations.

Risks

Amazon’s major risks include:

• Very high capital expenditure
• AWS competition
• Consumer spending weakness
• Regulatory scrutiny
• Lower retail margins
• AI infrastructure spending becoming less profitable than expected

Amazon may therefore suit investors looking for a long-term growth stock with multiple businesses rather than a pure AI play.

5. Broadcom (AVGO): The AI Infrastructure Stock Many Investors Overlook

Broadcom deserves a place on the 2027 watchlist because the AI infrastructure story is broader than GPUs.

AI data centres require networking, connectivity and specialised chips.

Broadcom has significant exposure to these areas, including custom AI accelerators and networking technologies.

The opportunity is particularly interesting because large technology companies increasingly want customised chips for specific workloads.

Why could Broadcom grow?

The company can benefit from:

• AI networking
• Custom accelerators
• Data-centre infrastructure
• Semiconductor solutions
• Enterprise software

This gives investors another way to participate in the AI infrastructure expansion.

Risks

Broadcom is not risk-free.

Potential risks include:

• Customer concentration
• Semiconductor cycles
• AI spending slowdown
• Competition
• High valuation
• Integration risks related to acquisitions

Therefore, AVGO may be suitable for investors comfortable with higher volatility.

Which US Stock Could Be Best for 2027?

If I had to rank these stocks based on a combination of growth potential, competitive advantage and long-term business quality, my watchlist would look like this:

But there is an important distinction.

The best company is not automatically the best stock to buy at any price.

Valuation matters.

A stock can have excellent earnings growth and still fall if investors previously priced in even higher growth.

That is why investors should consider buying gradually rather than putting their entire amount into one stock on one day.

How Much Could These Stocks Grow by 2027?

Nobody can accurately predict a stock’s future price.

Instead of giving fake price targets, investors should think in scenarios.

Bull Case

AI adoption accelerates, corporate spending remains strong and earnings beat expectations.

Under this scenario, high-quality AI stocks could potentially deliver substantial returns.

Base Case

AI growth continues but gradually becomes more normal.

Companies continue increasing profits, but stock returns become more dependent on earnings growth and valuation.

Bear Case

AI spending slows, valuations contract, interest rates remain high or economic conditions weaken.

In this scenario, even excellent companies could experience significant declines.

This is why investors should prepare for 20%, 30% or even larger temporary declines in individual technology stocks.

How I Would Approach Investing in These Stocks

Instead of trying to guess the exact bottom, a long-term investor could consider a staggered approach.

For example, an investor allocating $10,000 to US stocks might divide the money across several companies rather than putting the entire amount into NVIDIA.

A hypothetical approach could be:

• 30% Microsoft
• 25% NVIDIA
• 20% Alphabet
• 15% Amazon
• 10% Broadcom

This is only an educational example, not a personalised recommendation.

Another option for investors who do not want to analyse individual companies is to use diversified index funds or ETFs.

Related reading: Mutual Funds and Investment Guide

Final Verdict: What Is the Best US Stock for 2027?

My top stock to watch for 2027 is NVIDIA (NVDA) because it has an exceptional position in the AI computing ecosystem and continues to report extraordinary growth.

However, I would not put my entire portfolio into NVIDIA.

For a more balanced approach, Microsoft could be the strongest all-round candidate, while Alphabet, Amazon and Broadcom provide additional exposure to different parts of the AI and technology ecosystem.

The most important lesson is simple:

Do not buy a stock merely because everyone is talking about it. Buy the business only when its growth potential, financial strength and valuation make sense for your investment horizon and risk tolerance.

For 2027, the biggest investment opportunity may not be simply “AI stocks.” The bigger opportunity could be finding companies that can turn the enormous AI infrastructure spending of today into recurring revenue and sustainable profits for many years.

That is the metric investors should watch most closely.

Sources & Further Reading

• NVIDIA Investor Relations — Financial results and company filings.
• Microsoft Investor Relations — Earnings, annual reports and financial information.
• Alphabet Investor Relations — Financial reports and investor information.
• Amazon Investor Relations — Financial reports and shareholder information.
• U.S. Securities and Exchange Commission — Company filings and regulatory information.

Editorial note: Market data and company information can change rapidly. This article was prepared using information available in August 2026 and is intended as educational content, not a guarantee of future stock performance.

Author

Satinder Pal Singh
Expertise: Personal Finance, Stock Market, Investment Planning, Career Guidance
Editorial Approach: Research-based, reader-focused and educational

Disclaimer: The views expressed in this article are for educational purposes only and should not be considered personalised financial advice. Readers should conduct their own research or consult a qualified financial professional before investing.