New York — Global investors looking at the United States for the next three years are entering a market where opportunities and risks are increasingly concentrated around a handful of major themes. The S&P 500 has already gained nearly 13% in 2026 and remains close to a record high, while massive artificial intelligence investment continues to support corporate earnings and capital spending. At the same time, rising Treasury yields and questions over the durability of AI spending have introduced new risks for investors.
That makes total return more important than simply looking for the next stock-price winner. For an investor with a three-year horizon, capital appreciation, dividends, share buybacks, earnings growth, free cash flow and valuation all matter, while currency movements and taxation can also materially affect the final return for investors outside the United States.
1. NVIDIA
NVIDIA remains one of the companies most directly exposed to the global AI infrastructure boom. Its chips and accelerated computing platforms are increasingly central to the data centers being built by cloud companies and other technology groups.
The three-year investment case rests on the continued expansion of AI computing, inference, robotics, physical AI and increasingly sophisticated models. The main risks are equally clear: high expectations, valuation, competition, customer concentration and the possibility that AI infrastructure spending eventually grows more slowly than the market currently expects.
2. Broadcom
Broadcom offers a different route into the AI infrastructure market. Its semiconductor business includes custom accelerators, networking products and other components required to connect increasingly large AI computing systems.
The company also has a substantial infrastructure software business, giving investors exposure beyond semiconductors. Its combination of AI-related semiconductor growth, high free cash flow and shareholder distributions makes Broadcom an important stock to watch over a three-year period, although expectations surrounding AI infrastructure are already high.
3. Microsoft
Microsoft gives investors exposure to AI through a much broader business model. Azure cloud computing, enterprise software, Microsoft 365, cybersecurity and AI products provide several channels through which the company can monetize the technology.
The critical question over the next three years will be whether Microsoft’s enormous investment in data centers and AI infrastructure translates into sustained revenue growth, higher productivity and stronger free cash flow. Its established enterprise customer base provides a different risk profile from a pure AI semiconductor company, while dividends and share repurchases add another component to potential total return.
4. Alphabet
Alphabet combines several powerful businesses under one corporate structure, including Google Search, YouTube, Google Cloud and its growing portfolio of artificial intelligence products.
The company is investing heavily in AI infrastructure and models while attempting to protect the economics of its existing search business. Google Cloud has become an increasingly important growth engine as businesses move AI workloads into the cloud, while Gemini gives Alphabet another potential source of monetization.
For a three-year investor, the central issue is whether Alphabet can turn its enormous AI spending into higher revenue and earnings without allowing infrastructure costs to erode its traditionally strong margins. The company also returns capital to shareholders through dividends and share repurchases.
5. Amazon
Amazon increasingly looks like three major businesses operating under one roof: global commerce, cloud computing and digital advertising. AWS remains particularly important because the global expansion of AI is increasing demand for computing capacity, data centers and cloud services.
The company’s challenge is capital intensity. Amazon is spending enormous amounts on data centers and other infrastructure to meet AI demand, meaning investors need to watch whether the additional investment produces sufficiently high returns.
Unlike several of the companies on this list, Amazon does not currently pay a regular dividend. Its potential three-year total return therefore depends primarily on earnings growth, free-cash-flow expansion and capital appreciation.
6. Meta Platforms
Meta has one of the world’s largest digital audiences and is increasingly using artificial intelligence to improve advertising, recommendations and its consumer products. The company’s enormous scale gives it an opportunity to monetize AI without relying entirely on selling AI infrastructure.
The other side of the story is spending. Meta is committing tens of billions of dollars to data centers, chips and other infrastructure, creating a major investment cycle that could either strengthen its competitive position or put pressure on free cash flow if returns take longer to emerge.
Over the next three years, investors will be watching whether AI improves advertising efficiency, creates new products and eventually produces additional revenue streams. Meta’s share repurchases also mean that shareholder returns can come from both earnings growth and a declining share count.
7. Visa
Visa represents a very different investment theme. Instead of betting directly on AI, investors gain exposure to the long-term shift from cash to electronic payments and the continuing internationalization of commerce.
Visa’s business model benefits when consumers and businesses make more transactions through electronic payment networks. Cross-border payments, digital commerce, commercial payments and value-added services can all provide avenues for continued growth.
For global investors, Visa also offers a combination of earnings growth, dividends and substantial share repurchases. Its main risks include regulatory pressure, competition from alternative payment systems, slower consumer spending and changes in the global economy.
8. JPMorgan Chase
JPMorgan Chase provides exposure to the financial side of the American economy rather than the technology sector. Its businesses span consumer banking, commercial banking, investment banking, asset management, trading and payments.
Over a three-year period, earnings will depend heavily on interest rates, loan demand, credit quality, capital markets activity and the broader U.S. economy. The bank also has an important shareholder-return component through dividends and share repurchases.
That combination makes JPMorgan particularly relevant for investors seeking diversification beyond technology. The risks include credit losses, regulatory changes, economic downturns and unexpected movements in interest rates.
9. Eli Lilly
Eli Lilly offers exposure to one of the most important growth themes in global healthcare: the rapidly expanding market for diabetes and obesity treatments. Demand for GLP-1-based medicines has transformed the competitive landscape of the pharmaceutical industry and created a major growth opportunity for companies with successful products and pipelines.
The three-year outlook will depend on the continued expansion of the obesity-treatment market, manufacturing capacity, new indications, pricing, competition and the success of Lilly’s next generation of medicines. The company also provides investors with a dividend component, although its investment case is primarily driven by pharmaceutical growth rather than income.
For international investors, Lilly is therefore one way to gain exposure to a structural healthcare trend while diversifying away from technology and AI infrastructure.
10. NextEra Energy
NextEra Energy represents another emerging theme: the growing demand for electricity from data centers, artificial intelligence, manufacturing and broader electrification. Its businesses span regulated electricity generation and distribution as well as renewable energy and other infrastructure.
The AI boom is creating an unexpected investment link between technology and utilities. Data centers require enormous amounts of reliable electricity, potentially increasing the need for generation capacity, transmission infrastructure and energy storage.
NextEra also provides a dividend component that differentiates it from most of the technology companies on this list. However, investors must consider interest rates, capital requirements, regulatory decisions, energy prices and the company’s ability to finance its investment programme.
These ten companies represent several different sources of potential total return. NVIDIA and Broadcom are closely tied to AI infrastructure, Microsoft, Alphabet and Amazon combine AI with cloud computing, while Meta is using AI to strengthen its advertising and digital platforms.
Visa and JPMorgan provide exposure to payments and financial services, Eli Lilly represents the healthcare and obesity-drug opportunity, and NextEra brings electricity infrastructure into the investment equation. The diversification of business models is important because a three-year investment strategy based entirely on one theme could become vulnerable if that theme experiences a sharp slowdown.
For global investors, however, the distinction between capital gain and total return matters. A stock can generate a strong total return through a combination of rising earnings, share-price appreciation, dividends and buybacks, while another company may deliver most of its return through capital appreciation with little or no dividend.
Valuation is therefore as important as growth. A company can report excellent earnings growth and still produce disappointing shareholder returns if investors have already paid a very high price for those future earnings. The current U.S. market also carries this issue, with investors closely watching the sustainability of AI spending, corporate profit growth and rising bond yields.
The three-year period from 2026 to 2029 will also bring major technological and economic changes. AI adoption could spread from data centers into robotics, manufacturing, healthcare, financial services and energy systems, while companies that control computing, networking, electricity and digital distribution could benefit from the broader investment cycle. J.P. Morgan Asset Management has noted that AI-related capital expenditure is increasingly spreading beyond the largest technology companies, creating opportunities across infrastructure and other sectors.
For investors outside the United States, there are additional considerations. The final return in an investor’s home currency will depend partly on movements in the U.S. dollar, while U.S. dividend withholding taxes, local taxation, brokerage costs and the treatment of U.S. estate tax can affect the net result.
These ten companies should therefore be viewed as a three-year watchlist rather than a guaranteed ranking of future winners. The investment case for each depends on earnings growth, valuation at the time of purchase, cash generation, shareholder distributions and the risks surrounding its particular industry.
The broader message is that the next three years in U.S. equities may be about more than the biggest technology companies. AI infrastructure, cloud computing, digital payments, healthcare, banking and electricity generation are increasingly connected, creating a much wider investment ecosystem around the transformation of the American economy.

