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Why cheap Chinese AI models could actually be a boon for Nvidia, Micron and other chip stocks

Why cheap Chinese AI models could actually be a boon for Nvidia, Micron and other chip stocks
The Best AI Stocks to Buy Now

AI stocks continue to interest investors, thanks to industry momentum and appealing valuations.

Last week SK Hynix SKHY became the latest mega-IPO to make waves in the artificial intelligence industry. The semiconductor memory manufacturer opened on Nasdaq on July 10 with a $26.5 billion offering, making it the second-largest IPO on record.

The Morningstar Global Next Generation Artificial Intelligence Index has seen considerable growth this year, up about 45% in April and May, thanks to the AI infrastructure buildout.

“The recent catalyst has been a tsunami of capital expenditure in AI that has benefited companies involved in semiconductors, memory, and data centers,” says Morningstar strategist Dan Lefkovitz.

To find the best AI stocks, we look to the Morningstar Global Next Generation Artificial Intelligence Index. The AI stocks on this list were among the index’s top constituents and earned

  • Nvidia NVDA
  • Microsoft MSFT
  • Amazon.com AMZN
  • Alphabet GOOGL
  • Broadcom AVGO
  • Meta Platforms META
  • Tencent Holdings TCEHY
  • Alibaba Group BABA
  • Adobe ADBE
  • Oracle ORCL
  • Accenture ACN

Here’s a little more about each of the best AI stocks to buy, including commentary from the Morningstar analyst who covers the stock. All data is as of July 10.

Nvidia

  • Morningstar Rating: 4 Stars
  • : WideMorningstar Economic Moat Rating
  • : Very HighMorningstar Uncertainty Rating
  • Industry: Semiconductors

This latest edition of the best AI stocks to buy opens with Nvidia. The company is a leading developer of graphics processing units and the software platform Cuda, used for AI model development and training. This AI stock currently looks 25% undervalued relative to our $280 fair value estimate.

Nvidia has a wide economic moat, thanks to its market leadership in graphics processing units, hardware, software, and networking tools needed to enable the exponentially growing market around artificial intelligence. In the long run, we expect tech titans to strive to find second-sources or in-house solutions to diversify away from Nvidia in AI, but these efforts will, at best, only chip away at Nvidia’s AI dominance.

Nvidia’s GPUs run parallel processing workloads, using many cores to efficiently process data at the same time. In contrast, central processing units, such as Intel’s processors for PCs and servers, or Apple’s processors for its Macs and iPhones, process the data of “0’s and 1’s” in a serial fashion. The wheelhouse of GPUs has been the gaming market, and Nvidia’s GPU graphics cards have long been considered best of breed.

More recently, parallel processing has emerged as a near-requirement to accelerate AI workloads. Nvidia took an early lead in AI GPU hardware, but more importantly, developed a proprietary software platform, Cuda, and these tools allow AI developers to build their models with Nvidia. We believe Nvidia not only has a hardware lead but also benefits from high customer switching costs around Cuda, making it unlikely for another chip designer to emerge as a leader in AI training. Nvidia’s expansion into networking has been impressive, allowing customers to cluster AI GPUs together for AI training.

We think Nvidia’s prospects will be tied to the AI market, for better or worse, for quite some time. We expect leading cloud vendors to continue to invest in in-house, while AMD is also working on GPUs and AI accelerators for the data center. However, we view Nvidia’s GPUs and Cuda as the industry leaders, and the firm’s massive valuation will hinge on the pace of AI buildouts in the years ahead.

Brian Colello, Morningstar senior analyst

Microsoft

  • Morningstar Rating: 5-Stars
  • Morningstar Economic Moat Rating: Wide
  • Morningstar Uncertainty Rating: Medium
  • Industry: Software—Infrastructure

Known for its Windows operating systems and Office productivity suite, Microsoft develops and licenses consumer and enterprise software. This AI stock currently looks 36% undervalued relative to our $600 fair value estimate.

Microsoft is one of three public cloud providers that can deliver a wide variety of platform-as-a-service/infrastructure-as-a-service solutions at scale. Based on its investment in OpenAI, the company has also emerged as a leader in AI. Microsoft has also enjoyed great success in upselling users on higher-priced Office 365 versions, notably to include advanced telephony features. These factors have combined to drive a more focused company that offers impressive revenue growth with high and expanding margins and deepening ties with customers.

We believe that Azure is the centerpiece of the new Microsoft. Even though we estimate it is already an approximately $75 billion business, it is still growing at approximately 30% annually. Azure has several distinct advantages, including that it offers customers a painless way to experiment and move select workloads to the cloud, creating seamless hybrid cloud environments. Since existing customers remain in the same Microsoft environment, applications and data are easily moved from on-premises to the cloud. Microsoft can also leverage its massive installed base of all Microsoft solutions as a touch point for an Azure move. Azure is also an excellent launching point for secular trends in AI, business intelligence, and Internet of Things, as it continues to launch new services centered around these broad themes.

Microsoft is also shifting its traditional on-premises products to become cloud-based software-as-a-service solutions. Critical applications include LinkedIn, Office 365, Dynamics 365, and the Power Platform, with these moves now beyond the halfway point and no longer a financial drag. Office 365 retains its virtual monopoly in office productivity software, which we do not expect to change in the foreseeable future. Last, the company is also pushing its gaming business increasingly toward recurring revenues and residing in the cloud. We believe that customers will continue to drive the transition from on-premises to cloud solutions, and revenue growth will remain robust with margins continuing to improve for the next several years.

Dan Romanoff, Morningstar senior analyst

Amazon.com

  • Morningstar Rating: 4-Stars
  • Morningstar Economic Moat Rating: Wide
  • Morningstar Uncertainty Rating: Medium
  • Industry: Internet Retail

Amazon.com is the leading online retailer and marketplace for third-party sellers. Retail-related revenue represents approximately 74% of the total, followed by Amazon Web Services (17%) and advertising services (9%). Amazon.com looks 12% undervalued relative to our $280 fair value estimate.

Amazon dominates its served markets, notably for e-commerce and cloud services. It benefits from numerous competitive advantages and has emerged as the clear e-commerce leader given its size and scale, which yield an unmatched selection of low-priced goods for consumers. The secular drift toward e-commerce continues unabated, with the company continuing to grind out market share gains despite its size. Prime ties Amazon’s e-commerce efforts together and provides a steady stream of high-margin recurring revenue from customers who purchase more frequently from Amazon’s properties. In return, consumers get one-day shipping on millions of items, exclusive video content, and other services, which result in a powerful virtuous circle where customers and sellers attract one another. The Kindle and other devices further bolster the ecosystem by helping attract new customers, while making the value proposition irresistible in retaining existing users.

Through Amazon Web Services, Amazon is also a clear leader in public cloud services. Additionally, the company’s advertising business is already large and continues to scale as ads have made their way into Amazon’s streaming outlets, thus offering an attractive option for marketers looking to access a vast audience with a variety of proprietary data points about those very consumers. AWS and advertising growth should continue to outpace e-commerce growth and should be the main growth drivers over the next five years. This is critical, as each of these segments drives higher margins than the corporate average, which in turn should allow both operating profit and earnings per share to outgrow revenue as margins continue to expand.

From a retail perspective, we expect continued innovation to help drive further share gains in a post-lockdown world. We also look for continued penetration into categories such as groceries and luxury goods that have not previously translated into the same level of success as other retail categories. We see technology advancements in AWS and a bigger push to service enterprise customers as helping to maintain the company’s lead there. Overall, we see good revenue and free cash flow growth for years to come.

Dan Romanoff, Morningstar senior analyst

Alphabet

  • Morningstar Rating: 4-Stars
  • Morningstar Economic Moat Rating: Wide
  • Morningstar Uncertainty Rating: Medium
  • Industry: Internet Content and Information

Alphabet is a holding company that wholly owns internet giant Google. The California-based company derives slightly less than 90% of its revenue from Google services, the vast majority of which is advertising sales. This AI stock is trading 18% below our fair value estimate of $433.

We view Alphabet as a conglomerate of stellar businesses. With solutions ranging from advertising to cloud computing and self-driving cars, Alphabet has built itself into a true behemoth, generating tens of billions of dollars in free cash flow annually. While antitrust concerns around Alphabet’s core search business have made headlines, we retain our confidence in Alphabet’s overall strength and foresee the firm remaining at the forefront of a variety of verticals, including search, artificial intelligence, video, and cloud computing.

Alphabet’s core strategy is to preserve its strong advertising business, with the majority of advertising revenue coming from Google Search. To that end, the firm has invested considerably over the years to improve its search capabilities, ensuring that its search engine remains deeply embedded in how hundreds of millions of users access information on the web.

We see the firm’s investments in AI as a continuation of this effort to safeguard its core product, Google Search. We believe that by leveraging generative AI, Google can not only improve its own search quality via features such as AI overviews, but also improve its advertising business by augmenting its ability to target customers with relevant ads.

On the antitrust front, we don’t foresee a material deterioration in Google’s search business resulting from governmental or judicial intervention. While there is a range of possible outcomes depending on what remedial steps are imposed, we think it is likely that Google will maintain its leadership position in search and text-based advertising in the long term.

Beyond search, we have a positive outlook on Alphabet’s cloud computing platform, Google Cloud Platform. We believe increased migration of workloads to the public cloud and an uptick in the deployment and usage of AI are key growth drivers for GCP over the next five years. At the same time, we believe that as GCP scales, it will become a more important part of Alphabet’s overall business, both from a top-line and profitability perspective.

Malik Ahmed Khan, Morningstar senior analyst

Broadcom

  • Morningstar Rating: 5-Stars
  • Morningstar Economic Moat Rating: Wide
  • Morningstar Uncertainty Rating: High
  • Industry: Semiconductors

Broadcom is one of the largest semiconductor companies in the world and has also expanded into infrastructure software. Its semiconductors primarily serve computing, wired connectivity, and wireless connectivity. It has a significant position in custom AI chips to train and run inference for large language models. Shares of Broadcom currently trade at 38% below our fair value estimate of $650.

Broadcom is an amalgamation of high-value, differentiated, and moaty chip and software businesses. Put simply, Broadcom is a prolific generator of cash flow. It is a terrific aggregator of firms, big and small. Its ability to acquire and streamline generates strong profits and cash flow and fuels robust shareholder returns. We laud the company for its execution and operating efficiency, which build upon its large organic investment and help it outperform its end markets organically.

In our view, Broadcom’s networking and custom chip businesses are its strongest and the primary drivers of the company’s wide economic moat and results. We expect it to retain a dominant position in merchant silicon for switching and routing applications, where we see it as best-of-breed for high speeds. We also expect it to hold a formidable position in custom artificial intelligence accelerators as it benefits from hyperscale cloud vendors building chips to reduce their reliance on Nvidia. We see Broadcom as the key secondary AI compute vendor to Nvidia as hyperscalers further pursue custom silicon to gain performance, save money, and avoid vendor lock-in.

Outside of chips, Broadcom’s software businesses sell virtualization software, mainframe software, and cybersecurity software, and we see its offerings as highly competitive. Broadcom’s focus on strategic large software customers like financial institutions, governments, and large enterprises—where it is deeply embedded—elicits steep switching costs. We also see upselling opportunities with VMware under the firm’s belt.

We expect Broadcom to grow rapidly as a result of its skyrocketing AI chip business. We believe AI is already the primary driver of Broadcom’s results. To us, an investment in Broadcom today is an investment in its AI chip and networking businesses. Outside of AI, we see more moderate growth led by VMware and non-AI networking. We expect acquisitions to still be on Broadcom’s radar, but perhaps with larger, less frequent deals. After the 2023 VMware purchase, we expect the company to focus on deleveraging for a couple of years before tapping the acquisition market again.

William Kerwin, Morningstar senior analyst

Meta Platforms

  • Morningstar Rating: 4-Stars
  • Morningstar Economic Moat Rating: Wide
  • Morningstar Uncertainty Rating: High
  • Industry: Internet Content and Information

Meta Platforms is the largest social media company in the world, boasting close to 4 billion monthly active users worldwide. Shares of Meta look 21% undervalued compared with our $850 fair value estimate.

We view Meta as the clear winner in social media. The firm’s application lineup, which includes Facebook, Instagram, WhatsApp, and Messenger, has close to 4 billion monthly active users, giving Meta unmatched scale in the sector.

The firm’s strategy is dual-pronged. On the user side, Meta has leveraged its scale and social media savvy to iteratively improve its product lineup, adding attractive features such as Stories, Reels, and even newer products such as Threads. Such improvements and additions not only improve user engagement but also allow Meta to monetize these features and products by layering advertisements onto them.

On the advertising side, Meta allows advertisers of all shapes and sizes to place ads in front of engaged users. The company has benefited greatly from a general shift toward digital advertising within the broader advertising market, with social media advertising gaining a substantial share, especially since the coronavirus pandemic. To bolster its advertising business, Meta has invested heavily in its ad-targeting algorithms, allowing it to improve its advertisers’ return on ad spending and increasing its average revenue per user over time.

While the firm’s core business remains advertising, Meta has shown a proclivity to expand beyond its ad-based revenue model by investing heavily in hardware, via Reality Labs, and AI, by investing in its own Llama large language model. While the firm’s investments in Reality Labs have been demonstrably unprofitable, we are more optimistic about Meta’s investments in AI. We believe Meta’s AI investments, especially those aimed at improving the firm’s ad-targeting algorithms, are value-accretive.

Beyond ad-targeting, Meta is also investing in consumer-facing AI via its Llama chatbot, which is accessible to users across its applications. While a monetization strategy for this chatbot remains elusive in the near term, we believe the firm could drive increased user engagement by allowing its users access to a chatbot assistant within Meta’s applications.

Malik Ahmed Khan, Morningstar senior analyst

Tencent

  • Morningstar Rating: 5-Stars
  • Morningstar Economic Moat Rating: Wide
  • Morningstar Uncertainty Rating: High
  • Industry: Internet Content and Information

Among our affordable AI stocks, Tencent looks 42% undervalued compared with our $102 fair value estimate. Tencent holds a prominent position in China’s internet sector, with a diverse portfolio of products and services used daily by a significant portion of the population.

Over the past decade, Tencent has ridden the mobile gaming boom with hits like Honor of Kings and Peacekeeper Elite. Gaming remains its primary monetization engine, contributing an estimated 60% of operating income. With deep insight into gamer behavior and substantial financial resources, Tencent is well-positioned to keep developing high‑quality, durable franchises.

At the same time, Tencent has built a broad ecosystem across advertising, payments, cloud, music streaming, and more. The largest untapped lever sits inside WeChat. As China’s dominant super‑app, WeChat is a uniquely powerful marketing channel, and we expect its monetization to rise steadily—primarily via advertising.

The drivers are straightforward: Higher user engagement across Tencent’s properties expands ad inventory; thoughtful increases in ad load lift yield; and AI‑enhanced targeting, powered by WeChat’s data, improves conversion and pricing. Together, these factors support a gradual, durable ramp in WeChat‑led ad revenue.

AI represents a meaningful new growth lever for Tencent. Despite AI chip export restrictions, Tencent’s differentiated approach—allocating GPUs to internal use rather than selling compute like other hyperscalers—allows it to convert AI directly into product and efficiency gains. Because Tencent owns the use cases, it can deploy models that drive immediate impact. Early results are visible on the advertising side, and the strategy offers greater long‑term visibility.

While games and advertising will remain Tencent’s core revenue drivers, its leading position in financial technology, cloud, and enterprise software offers long-term value creation potential. Given China’s economic scale and widespread digital adoption, Tencent is poised to benefit from these opportunities by transforming its services into substantial revenue streams.

Last, Tencent was historically active in external investments but in recent years has shifted toward buybacks and internal reinvestment. Looking ahead, the low‑hanging fruit in external deals is largely gone; we expect a more selective approach and, consequently, fewer opportunities for outsize returns from strategic investments.

Ivan Su, Morningstar senior analyst

Alibaba

  • Morningstar Rating: 5-Stars
  • Morningstar Economic Moat Rating: Wide
  • Morningstar Uncertainty Rating: High
  • Industry: Internet Retail

Alibaba is the world’s largest online and mobile commerce company as measured by gross merchandise volume. Among its many divisions, the China commerce retail division is its most valuable cash flow-generating business. Shares of Alibaba look 53% undervalued compared with our $241 fair value estimate.

Alibaba is losing market share to PDD and Douyin in the China e-commerce business, and we don’t see a quick fix in the near term. Alibaba’s number of annual active consumers in the China retail marketplace was surpassed by PDD in the fiscal year ended March 2021. Meanwhile, Douyin has gained share from Alibaba, especially in the beauty and apparel categories in recent years, and entered the traditional search-based e-commerce space, competing directly with Alibaba. The number of annual active consumers at Alibaba is close to the ceiling in China. Alibaba’s gross merchandise volume to China’s online retail sales of goods ratio was 62% in the year ended March 2023 at Alibaba, down from 72% in the year-ago period. We believe Alibaba’s marketplace monetization rates will decline in the long run, owing to a mix shift toward Taobao, which has a lower take rate compared with Tmall, and more competition.

In our view, the Taobao and Tmall marketplaces remain as Alibaba’s core cash flow driver and can support the expansion of AliCloud as well as the firm’s globalization strategy, which offers long-term growth potential. While AliCloud will remain in investment mode in the medium term, downsizing low-margin businesses can drive segment margins higher over time. On globalization, the Alibaba international digital commerce group’s year-on-year revenue growth has been strong recently, thanks to AliExpress’ expanding cross-border business.

We expect Alibaba to return more capital to shareholders and increase its return on invested capital after divestments of noncore investments. We are pleased that Alibaba has upsized its share-repurchase program by USD 25 billion until March-end 2027 to USD 35.3 billion. Management targets to lift ROIC (based on Alibaba’s calculation) from single digits in fiscal 2023 to double digits in the next few years. Alibaba had sizable cash and equivalents and investments of CNY 829 billion on its balance sheet as of December 2023.

Chelsey Tam, Morningstar senior analyst

Adobe

  • Morningstar Rating: 5-Stars
  • Morningstar Economic Moat Rating: Narrow
  • Morningstar Uncertainty Rating: High
  • Industry: Software—Application

Adobe provides content creation, document management, and digital marketing and advertising software and services to creative professionals and marketers. This affordable AI stock looks 41% undervalued to our fair value estimate of $380.

Adobe has come to dominate content creation software with its iconic Photoshop and Illustrator solutions, both now part of the broader Creative Cloud. Over the years, the firm has added new products and features to the suite through organic development and bolt-on acquisitions to drive the most comprehensive portfolio of tools used in print, digital, and video content creation. The 2021 launch of Adobe Express broadens the company’s funnel, as it incorporates popular features of the full Creative Cloud but comes in lower-cost and free versions. The 2023 introduction of Firefly marks an important artificial intelligence solution that should also attract new users and help extend the competitive position of the platform. We think Adobe is properly focusing on bringing new users under its umbrella and believe that converting these users will become more important over time.

CEO Shantanu Narayen provided Adobe with another growth leg in 2009 with the acquisition of Omniture, a leading web analytics solution that is the foundation of the digital experience segment that Adobe has used as a platform to layer in a variety of other marketing and advertising solutions. Adobe benefits from the natural cross-selling opportunity from Creative Cloud to the business and operational aspects of marketing and advertising.

Document Cloud is driven by one of Adobe’s first products, Acrobat, and the ubiquitous PDF file format created by the company, and is now a multibillion-dollar business. The rise of smartphones and tablets, coupled with bring-your-own-device and a mobile workforce, has made a file format that is usable on any screen more relevant than ever.

Adobe believes it is attacking an addressable market well in excess of $200 billion. The company is introducing and leveraging features across its various cloud offerings to drive a more cohesive experience, win new clients, upsell users to higher-price solutions, and cross-sell digital media offerings. We expect M&A will continue to bolster all aspects of Adobe’s portfolio as the company defends against emerging competitors.

Dan Romanoff, Morningstar senior analyst

Oracle

  • Morningstar Rating: 4-Stars
  • Morningstar Economic Moat Rating: Narrow
  • Morningstar Uncertainty Rating: Very High
  • Industry: Software—Infrastructure

Oracle provides enterprise applications and infrastructure offerings through a variety of flexible IT deployment models, including on-premises, cloud-based, and hybrid. Shares of this affordable IT stock currently trade 32% below our fair value estimate of $207.

The initial success of Oracle Cloud Infrastructure comes from its technological innovation that makes it a flexible and secure alternative to established hyperscalers like Amazon Web Services, Microsoft Azure, or Google Cloud Platform. More recently, OCI’s strong client focus and ability to scale put it squarely at the center of the booming AI ecosystem, leading to skyrocketing bookings with key AI stakeholders such as OpenAI, Meta, and xAI. We believe OCI is on track to become a leading infrastructure provider for AI training and inference workloads; however, Oracle also faces significant challenges in securing the resources, particularly GPU chips, necessary to deliver the capacity required by its AI customers.

Oracle has long been a major supplier of both relational database systems and enterprise software. The company’s relational database boasts a premium market positioning that offers industry-leading security and stability at a higher price. Although Oracle Database still plays a dominant role in handling some of the world’s most mission-critical data workflows, the company’s dominance in the database industry is gradually fading due to emerging database products more tailored to enterprises’ specialized data workflows. We think Oracle has made substantial progress in modernizing its database offering by bringing multicloud database to other hyperscalers. This is a win-win-win arrangement that benefits Oracle, other cloud providers, and customers simultaneously. As Oracle further expands its portfolio with AI Lakehouse and AI Data Platform, we expect the database to remain an important growth engine for the company.

Oracle is one of the only companies that offers an integrated AI portfolio across data, infrastructure, and software. We think Oracle’s current product lineup is in the best shape it has been in, and the company has the capacity to both retain its traditional on-premises customers migrating to the cloud and acquire new customers. In our view, cloud transition will continue to serve as a tailwind to Oracle’s revenue growth in the coming years.

Luke Yang, Morningstar analyst

Accenture

  • Morningstar Rating: 4-Stars
  • Morningstar Economic Moat Rating: Narrow
  • Morningstar Uncertainty Rating: High
  • Industry: Information Technology Services

Our list of the best AI stocks to buy now closes with Accenture. Accenture is a leading IT services firm that provides consulting, system integration, and business process outsourcing to enterprises around the world. Shares of this affordable AI stock are currently trading 39% below our fair value estimate of $223.

Accenture boasts many different professional services to tackle almost any need an enterprise might have. We view the company as the best-of-breed professional services provider thanks to its prominent reputation, established customer base, and deep technological expertise.

Accenture is the only IT services company that has the capability to deliver end-to-end business solutions. If a brick-and-mortar bank is planning to launch a mobile banking app, Accenture is ready to assist it throughout the entire process, which includes overarching strategy design, IT system integration, custom application development, new service marketing, and digital infrastructure management. Without Accenture, customers need to source different services from several suppliers, potentially leading to project delays and cost overruns. We believe Accenture’s unique capability of providing integrated digital solutions across consulting and managed services boosts the company’s image as a flagship IT services provider and reinforces its customer relationship with Fortune 100 companies.

We think Accenture should fare better than other IT services companies as enterprises introduce artificial intelligence agents into their workforces. AI agents pose tangible threats to lower-end IT services, such as infrastructure management and business process outsourcing, because agents could potentially perform better in handling repetitive, mechanical business processes than the human workforce. But as a premier business services provider, Accenture’s stronghold lies in higher-end services, like consulting and system integration, that require relatively high levels of human input to tailor solutions for customers. While AI agents can reshape customers’ outsourcing practices, we think Accenture is in a good position to ensure that its services stay relevant for clients.

In our view, Accenture should remain the most dominant player in the IT services industry, shaping how enterprises leverage technology to achieve their desired business outcomes. Given its wide geographic and industry coverage, we expect Accenture to deliver stable top-line growth in the long term.

Luke Yang, Morningstar analyst

What Is the Morningstar Global Next Generation Artificial Intelligence Index?

The Morningstar Global Next Generation Artificial Intelligence Index provides exposure to leading-edge AI technologies, including generative AI and adjacent products and services.

The index derives its constituents from the Morningstar Global Markets Index, which represents 97% of the investable market capitalization of developed and emerging markets globally. Companies must be covered by Morningstar’s equity research analysts and have a score of 1 or higher for at least one of the defined subthemes to be eligible for index inclusion.

The four subthemes, as identified by the Morningstar Equity Research Next Generation Artificial Intelligence Committee, are:

Generative AI: This involves the creation of original content. Large language models, such as ChatGPT, are a type of generative AI model that focuses on producing humanlike text.

AI Data and Infrastructure: This encompasses the various technological components needed to manufacture, design, maintain, host, support, and improve AI models. These include semiconductors and data center infrastructure.

AI Software: This includes enterprise and consumer software that incorporates AI models to enhance the user experience and/or improve efficiency.

AI Services: This includes consultancies and outsourced business process companies, which may aid businesses in implementing AI.

Through a standardized scoring process conducted by Morningstar equity analysts, companies are assigned thematic exposure scores for each subtheme. Companies ranked in the top 50 are eligible for inclusion. The index constituents are weighted by float-adjusted market cap. However, the weightings are adjusted, if necessary, to ensure at least 80% of the index is allocated to stocks with meaningful exposure to generative AI. The index is rebalanced quarterly and reconstituted annually.

Investors who would like to extend their search for the top AI stocks can do the following:

  • Review the holdings of the Morningstar Global Next Generation Artificial Intelligence Index to investigate further.
  • Explore the pointers in Morningstar’s Guide to Investing in Stocks to develop and improve your stock-picking strategies.
  • Stay up to date on the tech sector’s performance, key earnings reports, and more with Morningstar’s technology sector page.
  • Use the Morningstar Investor screener to build a short list of AI stocks to research and watch.
  • Read the latest news about notable AI stocks from Morningstar senior analyst Dan Romanoff.

The author or authors do not own shares in any securities mentioned in this article. Find out about Morningstar’s editorial policies.