“The heart and lungs of the AI revolution will be in software,” said Daniel Ives, Global Head of Technology Research at Wedbush, in a February 10 interview with CNBC.
While artificial intelligence (AI) has become a broad investment theme across semiconductors, cloud infrastructure, and enterprise software, machine learning remains the core technology enabling many of these advancements. In this article, we focus on companies with meaningful exposure to machine learning applications and AI-driven revenue opportunities.
In the interview, Ives noted that while much of the current focus is on data centers and GPUs, the real long-term opportunity lies in software applications. He pushed back against investors who think companies like Salesforce and ServiceNow are structurally broken, calling skepticism about software’s central role in AI “one of the most disconnected market calls” he has seen in his career.
According to Ives, although these stocks have struggled recently, their deep integration within large enterprises gives them a strong position to benefit from AI over the next 6 to 18 months. He believes the market is not fully pricing in the potential for significant new revenue streams driven by AI use cases. On the long-term opportunity for these stocks, Ives said:
”When I look at the revenue for a ServiceNow or Salesforce, I could argue there’s 20%, 30% incremental revenue from where they are today. We’re talking ultimately tens of billions of dollars when it comes to Salesforce that are not factored into the valuation. Because I get in the near term, it’s a headwind. But to say that Salesforce and ServiceNow, given how integrated they are in enterprises, in the stack, you look at the hundreds of thousands of customers as these use cases play. You haven’t seen it today, but in the next 6, 9, 12, 18 months, I think what Jensen (Huang) talked about is exactly right. You cannot paint all of them with the same brush.”
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Meanwhile, the AI juggernaut has continued unabated. On February 9, NVIDIA CEO Jensen Huang joined CNBC to discuss AI and said demand for AI infrastructure remains “sky high,” describing the current era as a once-in-a-generation infrastructure buildout. He reiterated the long-term case for AI and the scale of spending required:
”Artificial intelligence is going to fundamentally change how we compute everything — everything from database processing, the way we do search, the way we do recommender systems when you shop, the way you watch movies, and of course these new systems that are being developed and evolved.”
With that backdrop, let’s explore our selection of the best machine learning stocks to buy according to analysts.
Our Methodology
To identify the best machine learning (ML) stocks to buy according to analysts, we first compiled a list of U.S. stocks with a market capitalization of at least $2 billion. From this universe, we focused on companies where ML is a core driver of product differentiation and monetization, or platform and infrastructure leaders that enable ML deployment at scale. From this refined list, we identified the top 11 stocks with at least 20% upside and ranked them in ascending order. Additionally, we have included data on the number of hedge funds holding stakes in these companies as of Q3 2025 to provide further insight into investor interest.
Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 427.7% since May 2014, beating its benchmark by 264 percentage points (see more details here).
Note: All pricing data is as of market close on February 10, 2026.
11. NVIDIA Corporation (NASDAQ:NVDA)
Potential Upside: 32.6%
Number of Hedge Fund Holders: 234
NVIDIA Corporation (NASDAQ:NVDA) is among the best machine learning stocks to buy according to analysts. As NVIDIA and OpenAI sit at the core of the AI ecosystem, any deal between the two is likely to have a broad industry impact. That is why the recent news flow about NVIDIA’s investments in OpenAI has been discussed keenly, given its second-order effects.
On Wednesday, February 4, Bloomberg reported that talks between NVIDIA Corporation (NASDAQ:NVDA) and OpenAI are nearing completion of a $20 billion investment from NVIDIA. The report cites people close to the matter, although both companies have declined to comment to Bloomberg. This development was previously reported by The Financial Times.
Bloomberg had earlier reported that OpenAI is targeting $100 billion in new funding, and Amazon.com and SoftBank have already discussed investing up to $50 billion and $30 billion, respectively. It should be noted that NVIDIA discussed an up to $100 billion investment in the company in September 2025, which hasn’t yet materialized and has again taken the center stage, as The Wall Street Journal recently reported that the investments have been paused. But on February 3, during a discussion in Taipei, CEO Jensen Huang said that the investment was “never a commitment”:
”We never said we would invest $100B in one round. They invited us to invest up to $100 billion, and of course, we were very happy and honored that they invited us, but we will invest one step at a time.”
NVIDIA Corporation (NASDAQ:NVDA) is a fabless semiconductor and AI computing company that designs GPUs, AI accelerators, Application Programming Interfaces (APIs), and system-on-a-chip units. Through its CUDA ecosystem, the company enables industries ranging from autonomous vehicles to scientific research by advancing AI, accelerated computing, and data center infrastructure.
Through innovation over the years, NVIDIA has become central to machine learning, as its GPUs are the standard hardware for training and running AI models.
10. Dynatrace Inc. (NYSE:DT)
Potential Upside: 35.9%
Number of Hedge Fund Holders: 40
Dynatrace Inc. (NYSE:DT) is among the best machine learning stocks to buy according to analysts. Following the company’s Q3 2026 results (FY ends in March), DA Davidson analyst Gil Luria cut DT’s price target from $65 to $50 but reaffirmed his Buy rating, according to a February 10 report by The Fly. The analyst said the company’s quarterly results were strong and that, due to end-to-end observability deals, it reported better-than-expected net new annual recurring revenue (ARR).
Luria also appeared impressed by Dynatrace Inc.’s (NYSE:DT) log management product and go-to-market changes, which, in his view, are not only helping the company gain market share but also driving strong pipeline growth.
On February 9, Dynatrace Inc. (NYSE:DT) reported an 18% growth in its Q3 revenue of $515 million, driven by $493 million (+18% year over year) in Subscription revenue. While total ARR grew 20% to $1.97 billion, the adjusted EPS came in at $0.44, ahead of the consensus at $0.41. Encouragingly, the company’s execution remains strong: it closed 12 deals exceeding $1 million in ARR in the quarter and announced a new $1 billion share repurchase program after nearly completing its earlier $500 million program.
On the results, Rick McConnell, CEO of Dynatrace, highlighted the company’s increasing traction with enterprises and stated:
”Our third quarter results surpassed the high end of our guidance across all top-line growth and profitability metrics. Notably, we’ve generated double-digit net new ARR growth for three consecutive quarters, which reflects the growing number of enterprises adopting Dynatrace as their end-to-end observability platform.”
Dynatrace Inc. (NYSE:DT) is a U.S.-based software company that provides AI-powered observability, application performance monitoring, and security solutions. The company employs machine learning to automatically monitor applications, networks, and cloud systems.
9. Amazon Inc. (NASDAQ:AMZN)
Potential Upside: 37.7%
Number of Hedge Fund Holders: 332
Amazon Inc. (NASDAQ:AMZN) is among the best machine learning stocks to buy according to analysts. Following its Q4 2025 results, UBS lowered its price target on the stock to $301 from $311 on February 6. Amazon’s FY 2026 capital expenditure guidance of $200 billion surprised the market and UBS, which were expecting capex to be around $150 billion. According to UBS estimates, growth for Amazon’s cloud services unit, Amazon Web Services (AWS), will rise to 38% in 2026, doubling from 19% in 2025. Moreover, the firm expects Amazon to maintain mid-30% growth if elevated spending continues through 2027.
Earlier, on February 4, Bloomberg reported that AWS and Prosus NV had signed a multi-year cloud and artificial intelligence agreement to expand the latter’s technology footprint in Latin America, Europe, and India. Prosus will leverage AWS’s advanced cloud infrastructure and AI capabilities to develop new AI-first applications/products and enhance its service portfolio in these geographies.
On the deal’s prospects, Greg Pearson, Vice President, AWS Global Sales, said:
”Prosus demonstrates how commerce companies are leveraging AI to transform customer experiences.” He added, “By combining AWS’s AI and machine learning capabilities with Prosus’s operational expertise across its portfolio, we’re changing how customers experience and discover products.”
While the value of the deal was not disclosed, the Head of Prosus Ecosystem, Igor Cardoso, stated in an interview with Bloomberg that the deal could run into “hundreds of millions of dollars.”
AWS remains Amazon’s growth engine. In its earlier note on February 3, UBS said the market is not valuing a significant expansion opportunity in AWS, as it sees a potential doubling of AWS revenue by 2028 and a significant push toward cash flow generation.
Although Amazon Inc. (NASDAQ:AMZN) has had a lacklustre performance over the past year, analysts remain highly positive on the stock (~92% rating it Buy), with a consensus median price target of $285, implying a 38% upside.
Amazon.com Inc. (NASDAQ:AMZN) operates across e-commerce, digital content, advertising, and cloud computing. Its online and offline stores offer both in-house and third-party products, while its Amazon Web Services (AWS) division runs one of the world’s largest data center networks.
Amazon uses machine learning across its business, from product recommendations and pricing to logistics and fraud detection. In addition, through its Amazon Web Services, it provides machine learning tools and cloud infrastructure to other companies.
8. Advanced Micro Devices Inc. (NASDAQ:AMD)
Potential Upside: 40.5%
Number of Hedge Fund Holders: 115
Advanced Micro Devices Inc. (NASDAQ:AMD) is among the best machine learning stocks to buy according to analysts. Investors have been pitting AMD against NVIDIA for months and have expected the company’s data center chip business to accelerate and make some dent in NVIDIA’s market share. However, AMD’s Q4 2025 results on February 3 and the approximately 17% decline in its share price the day after indicate that expectations have risen significantly recently.
For Q4, Advanced Micro Devices Inc.’s (NASDAQ:AMD) results and guidance exceeded street expectations. Q4 sales grew 34% to $10.3 billion, exceeding a Bloomberg average consensus estimate of $9.7 billion. Profitability was stronger as well, with adjusted EPS of $1.53 coming in 16% ahead of the consensus of $1.32.
The results were equally strong across segments. AMD’s data center business sales of $5.38 billion surged 39% year over year and came in 8% ahead of expectations, driven by strong demand for the EPYC processors and the continued ramp of its Instinct GPU shipments. On the other hand, Personal Computer-related sales of $3.1 billion (+34% YoY) also exceeded estimates by 7%.
For Q1 2026, the company guided revenue to $9.5-$10.1 billion, with an average of $9.8 billion, exceeding street estimates of $9.39 billion. However, according to a Bloomberg report, some analysts projected revenue above $10 billion and expected the company to guide to higher growth given its artificial intelligence spending, which helped explain the disappointment with the guidance.
Now, the focus is shifting to the second half of the year, when Advanced Micro Devices Inc. (NASDAQ:AMD) is expecting to release its powerful chip designs in the second half, including the AI accelerator MI450, which the company CEO, Dr. Lisa Su, called “an inflection point” for the company. On the results call, she rebuffed concerns about component shortage and said:
”We see the ability to continue to grow throughout the year. There’s no question that demand continues to be strong. And so, we’re working with our supply chain partners to increase supply as well. But from what we see today, I think the overall server situation is strong.”
Following the results, most analysts on the street have maintained their recommendations, though some have made marginal revisions to their price targets. As of the time of writing, over 80% of analysts are bullish on AMD, with a consensus 1-year median price target of $300, implying nearly 41% upside.
Advanced Micro Devices Inc. (NASDAQ:AMD) is a leading semiconductor company specializing in high-performance computing and graphics solutions. Its broad product portfolio includes microprocessors, graphics processors, and system-on-chip (SoC) solutions designed for data centers, gaming, and embedded systems.
AMD’s processors and accelerators are widely used to train and run machine learning models. Its chips power data centers, cloud platforms, and AI servers that handle large-scale data processing.
7. Palantir Technologies Inc. (NASDAQ:PLTR)
Potential Upside: 43.4%
Number of Hedge Fund Holders: 81
Palantir Technologies Inc. (NASDAQ:PLTR) is among the best machine learning stocks to buy according to analysts. While the competitive positioning of Palantir’s AI-driven data analytics platforms has broadly been undisputed, the stock’s valuation has become the headline, often overshadowing the underlying fundamentals.
Following the company’s Q4 2025 results, Mizuho, which rates the stock Neutral, saw a “significant comp multiple compression” and thus lowered its price target to $195 from $205. Mizuho’s analysts characterized the company’s results as “fantastic”, but remained on the sidelines due to its “extreme” valuation at 40 times 2027 revenue, which they also referred to as “dramatically above anything else in software.” Further, on a more cautionary note, the analysts expect that, in the next few quarters, the stock could be “subject to meaningful multiple reversion”.
While valuation has been a concern, Mizuho believes Palantir Technologies Inc. (NASDAQ:PLTR) is “increasingly well-positioned to benefit from long-term trends in AI, government digital transformation, and industrial modernization.”
This constructive view, despite the firm’s Neutral rating, is driven by the company’s continued strong execution: it reported 70% year-over-year (YoY) revenue growth in Q4 and guided to 61% revenue growth and 56% free cash flow margin for FY 2026, substantially ahead of street expectations. The company also reported its ‘Rule of 40’ score, a Software-as-a-service (SaaS) industry-specific measure to gauge profitability, at a stellar 127%.
Palantir Technologies Inc. (NASDAQ:PLTR) is a software company that develops and deploys data integration and analytics platforms for government agencies, defense organizations, and enterprise clients. Its notable products include Palantir Gotham, Foundry, and Apollo. The company’s software uses machine learning to analyze complex data and support decision-making.
6. Microsoft Corporation (NASDAQ:MSFT)
Potential Upside: 45.2%
Number of Hedge Fund Holders: 312
Microsoft Corporation (NASDAQ:MSFT) is among the best machine learning stocks to buy according to analysts. On February 5, Bloomberg reported that Stifel downgraded Microsoft’s rating from Buy to Hold and cut the price target by nearly 27%, to $392 from $540. With this, Stifel has joined the 5%-6% of analysts who hold a cautious view, out of 64 covering the stock (per CNN.com data).
In his note, Stifel analyst Brad Reback argued that consensus expectations for 2027 “are too optimistic,” amid concerns over the growth of its cloud business. Reback believes that because of “the well-documented Azure supply issues, coupled with Google’s strong GCP/Gemini results,” and “growing Anthropic momentum,” Microsoft’s Azure business is unlikely to witness accelerated growth.
Additionally, the analyst believes that the aggressive spending to expand its artificial intelligence capabilities is “likely to be a headwind” to operating-margin leverage. On the prospects for the stock, the analyst told investors:
”We see no near-term catalysts and expect the stock to be range-bound until either capex growth slows below Azure growth and/or Azure posts a significant acceleration.”
The company reported Q2 FY26 results in late January, which showed a slowdown in cloud sales growth and elevated capital expenditures. These two have been fresh concerns for investors, who continue to question the potential payoff from such significant spending.
The stock has corrected by around 14% since it reported results, through February 10. Apart from Stifel, most other analysts reiterated their ratings on the stock, with Philip Securities even upgrading it to a Buy, as they believe the correction presents a good entry opportunity. As of February 10, the stock commands a consensus 1-year median price target upside of nearly 45%.
Microsoft Corporation (NASDAQ:MSFT) is a global technology company that develops and sells a wide range of software, cloud services, devices, and business solutions, serving both individual users and enterprise customers worldwide. Its flagship products include Windows, Microsoft 365, Azure, LinkedIn, and Xbox.
5. Datadog Inc. (NASDAQ:DDOG)
Potential Upside: 50.4%
Number of Hedge Fund Holders: 72
Datadog Inc. (NASDAQ:DDOG) is among the best machine learning stocks to buy according to analysts. The company reported strong Q4 2025 results on February 10, with revenue surging 29% year-over-year to $953 million, ahead of the company’s own guidance of $912-916 million. Q4 EPS came in at $0.59, which was ahead of the consensus of $0.55. In addition, the company guided to Q1 2026 and FY 2026 revenue growth of 25% and 19%, respectively, which boosted investor confidence, as evidenced by a nearly 14% share price rally following the results.
A day before the results, The Fly reported that UBS analysts reduced their price target by slightly over 13% to $195 from $225. However, they maintained a Buy rating. UBS had expected the company to guide above consensus for FY 2026.
Another firm that had recently lowered its price target on Datadog Inc. (NASDAQ:DDOG) is KeyBanc Capital Markets, which cut its target to $155 from $170. However, the firm maintained its Overweight rating.
KeyBanc had argued that investor views on Datadog are divided. While investors are positive on product innovation and leadership in observability, concerns around pricing pressure from Palo Alto Networks, intensifying competition from data platform vendors, and potential OpenAI-related churn weigh on its outlook. The firm had noted that Datadog Inc. (NASDAQ:DDOG) would need to report performance similar to Q3, with stronger growth in its core business and stable revenue from OpenAI. Even assuming a typical ~4% quarterly beat, the firm believes management’s initial 2026 guidance could fall below current consensus.
Analyst estimates have been mixed after the result: some, including Raymond James and Jefferies, have lowered their price targets, while others, including TD Cowen and Needham, have raised or maintained theirs. However, ratings have remained largely unchanged, with more than 90% of analysts covering the stock assigning a Buy or Equivalent rating.
Datadog Inc. (NASDAQ:DDOG) is a U.S.-based company that provides an observability service for cloud-scale applications. Its platform provides monitoring and analytics for servers, databases, tools, and services, delivered via a SaaS data analytics platform. Datadog uses machine learning to monitor cloud systems and detect performance issues in real time.
4. Snowflake Inc. (NYSE:SNOW)
Potential Upside: 54.7%
Number of Hedge Fund Holders: 102
Snowflake Inc. (NYSE:SNOW) is among the best machine learning stocks to buy according to analysts. According to a February 2 report from The Fly, analysts from RBC Capital were ‘positive’ on Snowflake’s $200 million partnership deal it signed with OpenAI on February 2. Under the deal, OpenAI’s models will be integrated into Snowflake’s Cortex AI offerings, along with a joint go-to-market strategy. RBC rates the stock as Outperform with a $300 price target.
As per RBC Capital, this collaboration will enable joint enterprise customers to deploy context-aware AI applications directly on Snowflake’s data platform. They also argue that this partnership builds on Snowflake’s reported $100 million in AI-related annual recurring revenue and follows a similar collaboration deal with Anthropic, which strengthens Snowflake’s position as a central data layer for enterprise AI adoption.
On the same day, Raymond James also reaffirmed an Outperform rating on Snowflake Inc. (NYSE:SNOW) following the deal announcement. The firm believes that organizations providing large language models will need such deals to expand their footprint in the enterprise space.
On the deal, Snowflake CEO Sridhar Ramaswamy stated:
”Customers can now harness all their enterprise knowledge in Snowflake together with the world-class intelligence of OpenAI models, enabling them to build AI agents that are powerful, responsible, and trustworthy. Together, we’re setting a new standard for AI innovation, helping businesses transform with confidence, while maintaining strong security and compliance standards.”
Snowflake Inc. (NYSE:SNOW) provides a cloud-based data platform that helps organisations store, manage, and share data across multiple public clouds. Its platform, called the Snowflake Data Cloud, supports diverse workloads including data engineering, analytics, machine learning, and secure collaboration.
3. Salesforce Inc. (NYSE:CRM)
Potential Upside: 70.6%
Number of Hedge Fund Holders: 119
Salesforce Inc. (NYSE:CRM) is among the best machine learning stocks to buy according to analysts. In a February 3 report, The Fly reported that Piper Sandler analyst Billy Fitzsimmons cut the price target on Salesforce from $315 to $280 while maintaining an Outperform rating.
This development followed a coverage reshuffle at Piper Sandler, which also included rating downgrades for three names and lower price targets across the platforms and apps group. The primary reason the analysts highlighted was that “seat-compression and vibe coding narratives could set a ceiling on multiples.”
Piper Sandler appears to have a cautious outlook on the software sector, despite a share price correction over the past 12 months. Instead, it asked its investor to focus on hyperscalers, consumption, and vertical sub-sectors, as the “pessimism” around software is expected to persist.
While Salesforce Inc. (NYSE:CRM) remains among the major players in agentic AI, its share price has come under pressure, along with the broader software sector, due to concerns about AI’s impact on traditional software companies. CRM stock has lost around 27% since the start of 2026 and over 40% over the past year.
Despite that underperformance, analysts remain optimistic about Salesforce Inc. (NYSE:CRM), with more than two-thirds of analysts covering the stock assigning Buy or equivalent ratings. Moreover, the consensus 1-year median price target of $330 implies nearly 71% upside as of February 10.
Salesforce Inc. (NYSE:CRM) is a global enterprise software company that provides customer relationship management (CRM) and cloud-based business applications across sales, service, marketing, commerce, and data analytics. Its Customer 360 platform, powered by data tools and trusted AI, enables organizations to unify customer data and drive personalized engagement.
2. Rubrik Inc. (NYSE:RBRK)
Potential Upside: 94.3%
Number of Hedge Fund Holders: 52
Rubrik Inc. (NYSE:RBRK) is among the best machine learning stocks to buy according to analysts. On February 9, Goldman Sachs cut its price target on Rubrik by one-third to $80 from $120 while maintaining a Buy rating amid broader volatility across AI-related stocks, according to The Fly.
In its research note, Goldman Sachs highlighted a key point: the rapid pace of AI innovation. The firm cited developments such as Claude Cowork and OpenAI’s Frontier as evidence of the pace of change across the ecosystem. With this, the firm cautions investors against overreliance on any single narrative or view as the AI stack continues to evolve.
Goldman’s analysis also suggests that much of its coverage universe, including Rubrik, operates in comparatively insulated parts of the technology stack. As a result, the firm sees selective opportunities for investors who are willing to look beyond near-term volatility.
Rubrik Inc.’s (NYSE:RBRK) share price has already seen a substantial correction, with a YTD decline of 26%. Price targets have also moved lower over the past month, as analysts factored in lower valuation multiples and the impact from competitive concerns.
That said, analysts have maintained their positive ratings on the stock, and as of February 10, the majority of the analysts (96%) rate the stock as Buy, with a consensus 1-year median price target of $108.5, implying a robust 94% upside.
Rubrik Inc. (NYSE:RBRK) is a cybersecurity company focused on data protection, cyber resilience, and enterprise AI. Rubrik Security Cloud platform helps organizations secure, monitor, and recover data, identities, and workloads across cloud environments. In addition, Rubrik Agent Cloud supports enterprises in deploying trusted AI agents at scale. Rubrik applies machine learning to data security, backup, and recovery, thereby automating protection and reducing human error.
1. Klaviyo Inc. (NYSE:KVYO)
Potential Upside: 98.9%
Number of Hedge Fund Holders: 48
Klaviyo Inc. (NYSE:KVYO) is among the best machine learning stocks to buy according to analysts. Following the company’s Q4 2025 results on February 10, Jefferies lowered its price target on its shares to $29 from $35 while reiterating a Buy rating, according to a February 11 report from The Fly.
Jefferies noted that Klaviyo Inc. (NYSE:KVYO) reported Q4 revenue growth ahead of expectations, suggesting continued demand resilience for the company’s offerings despite ongoing debate over AI-driven marketing platforms. While the company did not fully resolve longer-term questions about AI’s competitive impact, the analysts were encouraged by management’s commentary on Klaviyo’s value creation.
Ahead of the results announcement, Benchmark Co. had also lowered its price target from $46 to $30 while maintaining a Buy rating.
Following a strong Q4 result, the company raised its FY 2026 guidance and is now expecting revenue in the range of $1.50-$1.51 billion, implying a 21.5%-22.5% year-on-year growth, ahead of the consensus estimate of $1.48 billion. Management also expects the operating margin to continue expanding.
During the results call, Andrew Bialecki, Co-founder and Co-CEO at Klaviyo, said that he sees strong momentum in 2026 and highlighted three key takeaways that support this outlook:
”First, AI increases the speed, quality, and reach of consumer engagement, and customers are relying on Klaviyo to deliver that engagement. Second, our advantage is structural. Our infrastructure is what allows agents and AI tools to operate consistently as volume and complexity increase. And third, our model is built for this moment. Klaviyo is a revenue-yield engine. As AI increases, the volume and sophistication of consumer engagement, value creation, and our growth scale together.”
Klaviyo Inc. (NYSE:KVYO) is a technology company that offers a cloud-native, AI-first B2C customer relationship management (CRM) and marketing automation platform for e-commerce brands. Its Klaviyo Data Platform enables businesses to harness customer data for personalized email, SMS, and digital campaigns. Klaviyo uses machine learning to help businesses personalize marketing and customer communication.
While we acknowledge the potential of Klaviyo Inc. (NYSE:KVYO) to grow, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than KVYO and that has 100x upside potential, check out our report about this cheapest AI stock.
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