7 Best Machine Learning Stocks to Buy According to Short Sellers

In this article, we will discuss 7 Best Machine Learning Stocks to Buy According to Short Sellers.

For years, investors searched for the next internet revolution. Now, some of the world’s most influential billionaires and hedge fund managers believe they may already be living through it, and its name is machine learning.

From Ray Dalio warning that the AI boom could be entering an “early bubble phase,” to Stanley Druckenmiller comparing artificial intelligence to the rise of the internet itself, Wall Street’s elite are increasingly convinced that machine learning could become one of the most transformative investment trends of the century. Meanwhile, Ken Griffin believes AI will revolutionize productivity across finance and business, even if not every AI stock survives the hype cycle. At the center of the frenzy stands Jensen Huang, whose vision of AI as the next foundational computing platform has helped ignite a historic rally in semiconductor and infrastructure stocks. And investors like Cathie Wood and Paul Tudor Jones continue to argue that machine learning will reshape entire industries, from healthcare and robotics to finance and cybersecurity.

The excitement is not just coming from billionaire investors. Major research institutions are also reinforcing the long-term bullish case. A recent report from Stanford Institute for Human-Centered Artificial Intelligence found that AI adoption and private investment are accelerating rapidly across the global economy. Meanwhile, research from McKinsey & Company estimates that artificial intelligence could add trillions of dollars in annual productivity gains worldwide. Academic studies are also showing that machine learning-driven investment strategies may outperform traditional portfolio models under certain conditions.

As billions of dollars continue pouring into AI infrastructure, software, and automation, investors are now asking a critical question: Are machine learning stocks the greatest wealth-building opportunity of the next decade or the next major market bubble?

With this context in mind, here are some machine learning stocks to buy according to short sellers.

Our Methodology

We used stock screeners to identify a list of machine learning stocks in the US and picked out the ones with the lowest short percentage of outstanding shares. We limited our final selection to companies that have recently reported noteworthy developments likely to impact investor sentiment. These stocks are also popular among analysts and elite hedge funds. To make the list easier to navigate, we ranked the stocks in descending order of their short percentage of shares outstanding as of April 15, 2026.

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 498.7% since May 2014, beating its benchmark by 303 percentage points (see more details here).

7 Best Machine Learning Stocks to Buy According to Short Sellers

7. Myseum.AI, Inc. (NASDAQ:MYSE)

Short % of Shares Outstanding: 1.85%

Myseum.AI, Inc. (NASDAQ:MYSE) announced on April 17 that it had been accepted into the AMD AI Developer Program operated by Advanced Micro Devices, a development that provides the company with access to AMD Developer Cloud credits, specialized AI development tools, technical training, and broader community resources. The collaboration is expected to strengthen Myseum.AI’s artificial intelligence capabilities and accelerate the advancement of its secure, AI-powered platform ecosystem. By gaining access to high-performance computing infrastructure and industry-level support, the company is positioning itself to scale innovation more efficiently in the increasingly competitive AI and privacy technology markets.

Earlier, on March 19, Myseum.AI, Inc. disclosed that it had received U.S. Patent #12,585,755 from the U.S. Patent and Trademark Office for its technology titled “Time Bound Event Creation and Management Based on User Specific Media Permissions.” The patent covers systems and methods designed to establish private and secure social networking environments with event-specific media controls, including encryption features, privacy management, and dynamic prioritization of content. The intellectual property strengthens the company’s portfolio in secure digital communications and reinforces its strategic emphasis on user-controlled data protection at a time when privacy concerns continue to gain importance across the technology sector.

Myseum.AI is a privacy-focused technology company headquartered in New Brunswick. Founded in 2014, the company develops secure social media platforms and decentralized, AI-driven content management systems designed to protect personal data and digital communications.

The company’s expanding AI partnerships and growing intellectual property portfolio could strengthen its long-term competitive positioning in the secure AI and privacy software markets, particularly as enterprises and consumers increasingly prioritize data protection.

6. Focus Universal Inc. (NASDAQ:FCUV)

Short % of Shares Outstanding: 1.38%

Focus Universal Inc. (NASDAQ:FCUV) disclosed on April 24 that it had filed to sell approximately 3.35 million shares of common stock on behalf of existing holders. The filing is expected to enhance trading liquidity and broaden the company’s market visibility among institutional and retail investors. While secondary share sales can create near-term pressure on stock performance, the expanded float may improve capital market flexibility and support future financing opportunities as the company continues developing its Internet of Things and telecommunications technologies.

Earlier, on April 8, 2026, Focus Universal Inc. announced the closing of a $4 million private placement involving 1,117,318 common or pre-funded units sold to accredited institutional investors at $3.58 per unit. Each unit included either common stock or a pre-funded warrant, along with Series A and Series B PIPE warrants exercisable at $3.33 per share with expiration periods of 24 and 60 months, respectively. The financing was completed under Nasdaq market pricing rules and arranged by Aegis Capital Corp. on a best-efforts basis. Management stated that the proceeds will primarily support working capital and broader corporate initiatives, while the company has also committed to registering the resale of underlying shares to improve investor liquidity and strengthen its operational balance sheet.

One of the best machine learning stocks to buy according to short sellers, Focus Universal Inc. is a technology company focused on patented hardware and software solutions for the Internet of Things (IoT) and 5G telecommunications markets. Founded in 2012 and headquartered in Ontario, the company develops technologies aimed at improving connectivity, energy efficiency, and cost optimization across smart-device ecosystems.

The company’s recent capital raise provides additional financial flexibility to advance product development and operational expansion, while its growing presence in IoT and 5G infrastructure positions it to benefit from long-term connectivity trends.

5. Ainos, Inc. (NASDAQ:AIMD)

Short % of Shares Outstanding: 0.43%

Ainos, Inc. (NASDAQ:AIMD) announced on April 17 that it continues to expand deployments of its Smell AI platform, powered by AI Nose technology, across semiconductor, robotics, and healthcare infrastructure markets. The expansion was highlighted in third-party research published by VASRO, which described Smell AI’s transition from isolated sensing applications into a scalable, multi-domain AI perception platform. The report identified 2026 as a potentially important commercialization year as Ainos advances toward broader deployment and recurring revenue generation. As part of the initiative, the company has begun implementing Smell AI within hospital infrastructure through partnerships with MacKay Memorial Hospital and Topco Scientific Co., Ltd. Initial applications are focused on environmental monitoring and operational safety across HVAC systems, power infrastructure, chemical handling environments, clinical laboratories, and MRI facilities. According to the report, the technology serves as an early-detection perception layer capable of identifying otherwise invisible environmental risks, including chemical exposure and airborne contaminants.

Earlier, on April 8, Ainos, Inc. announced a strategic partnership with MacKay Memorial Hospital and Topco Scientific to deploy its AI Nose technology throughout high-risk hospital environments. The collaboration represents a significant step in extending the company’s Smell AI platform beyond industrial and environmental safety applications and into healthcare infrastructure. The initial rollout, which began in April 2026, is focused on four critical operational areas within hospital facilities where environmental monitoring and safety optimization are particularly important.

Ainos, Inc. is a diversified medical technology and artificial intelligence company specializing in digital olfaction, or “smelltech,” as well as immune therapeutics. Headquartered in Houston and founded in 1984, the company develops AI-driven scent intelligence technologies designed to help machines detect illnesses, environmental hazards, and industrial changes through advanced olfactory data analysis. Its proprietary Smell AI platform converts scent signals into structured machine-readable data to support healthcare, industrial, and infrastructure applications.

The company’s growing partnerships in healthcare infrastructure and increasing validation from third-party research could position Ainos to capitalize on the rising demand for AI-enabled environmental monitoring and predictive safety systems.

4. NetSol Technologies, Inc. (NASDAQ:NTWK)

Short % of Shares Outstanding: 0.20%

NetSol Technologies, Inc. (NASDAQ:NTWK) announced on April 9 the renewal of its long-standing partnership with a multinational bank in the United Kingdom through a multi-million-dollar contract extension tied to the continued use of the company’s finance and leasing platform. Under the renewed agreement, the bank will maintain NetSol’s software solutions to support both retail and wholesale finance operations. The extension builds upon a relationship spanning more than 15 years and further reinforces NetSol’s position within the UK asset finance market. The agreement also reflects continued customer confidence in the company’s ability to provide mission-critical financial technology infrastructure for large institutional clients.

Earlier, on March 11, NetSol Technologies, Inc. announced that a tier-one U.S.-based automotive captive finance company had successfully gone live with its Transcend Finance platform in China under a contract valued at more than $10 million. The modular platform is designed to help lenders, financial institutions, and automotive captives accelerate digital transformation initiatives while managing the full finance lifecycle with greater operational intelligence and scalability. Management described the implementation as a major milestone supporting the client’s modernization strategy and technology-driven expansion within one of the world’s largest automotive finance markets.

NetSol Technologies, Inc. is a global provider of specialized software and IT solutions focused primarily on the asset finance and leasing industries. Founded in 1996 and headquartered in Encino, the company serves automotive manufacturers, banks, financial institutions, and captive finance companies through a suite of digital finance solutions, including its AI-enabled NFS Ascent platform.

The company’s expanding base of long-term enterprise clients and successful implementation of high-value international contracts highlight the scalability and resilience of its software ecosystem.

3. XBP Global Holdings, Inc. (NASDAQ:XBP)

Short % of Shares Outstanding: 0.17%

XBP Global Holdings, Inc. (NASDAQ:XBP) received a positive development on April 15 when Cantor Fitzgerald initiated coverage of the company with an Overweight rating and a $5 price target. The firm noted that XBP’s acquisition of Exela has transformed the company into a turnaround opportunity supported by deeply embedded customer relationships and mission-critical workflow integration that could provide downside protection. Analysts also pointed to the company’s technology segment and its exposure to agentic artificial intelligence as a potential source of upside, particularly given the stock’s valuation relative to broader AI-focused peers. The coverage reflects growing institutional attention toward XBP’s evolving digital transformation and automation strategy.

Earlier, on March 18, XBP Global Holdings, Inc. announced that it had secured a contract worth more than EUR 1 million to deploy an Agentic AI-powered Intelligent Document Processing platform for a leading healthcare insurance provider in France. The engagement will automate complex manual workflows through the interpretation and processing of unstructured healthcare data, improving document classification, routing efficiency, and case-management functions. The project highlights XBP’s growing presence in AI-enabled automation solutions and demonstrates increasing enterprise demand for advanced document intelligence platforms across regulated industries.

XBP Global Holdings, Inc. is a multinational technology and services company specializing in business process automation, intelligent document processing, and digital transformation solutions. Headquartered in Irving and founded in 2025, the company focuses on streamlining interactions between buyers and suppliers through the digitization of bills, payments, and operational data flows.

The company’s expanding exposure to agentic AI technologies and growing traction in large-scale enterprise automation contracts could support long-term revenue growth and operational leverage.

2. comScore, Inc. (NASDAQ:SCOR)

Short % of Shares Outstanding: 0.10%

comScore, Inc. (NASDAQ:SCOR) announced on April 21 that it had secured agreements with more than 15 broadcast clients, reflecting increasing demand for local audience measurement solutions capable of supporting national advertising decision-making. The company stated that the agreements underscore the growing need for a modern measurement currency that better captures increasingly fragmented and multi-platform audience behavior. Broadcast groups renewing, extending, or initiating relationships with comScore include Allen Media Group, Cox Media Group, Sinclair Broadcast Group, Hubbard Broadcasting, and The E.W. Scripps Company, among others. The expansion of client relationships strengthens comScore’s position within the evolving media analytics and audience measurement industry.

Earlier, on March 31, MRI-Simmons and NIQ announced that they had joined comScore, Inc.’s Data Partner Network through its Proximic platform. The initiative enables data providers to convert identity-based datasets into scalable, privacy-focused contextual audiences using predictive technology. The partnership is intended to support advertisers, publishers, and media companies as the digital advertising ecosystem continues transitioning toward ID-free targeting solutions. By integrating research-driven audience insights into programmatic advertising systems, the collaboration enhances the utility and scalability of comScore’s data monetization capabilities.

comScore, Inc. is a global media measurement and analytics company that provides audience and consumer engagement data across television, streaming, digital, and advertising platforms. Founded in 1999 and headquartered in Reston, the company helps brands, media organizations, and advertisers better understand consumer behavior across multiple content distribution channels. Its analytics platforms are designed to support audience targeting, advertising optimization, and cross-platform measurement initiatives.

The company’s expanding network of broadcast partnerships and growing involvement in privacy-forward advertising technologies could strengthen its long-term relevance in the rapidly evolving digital media ecosystem.

1. Wetour Robotics Limited (NASDAQ:WETO)

Short % of Shares Outstanding: 0.03%

Wetour Robotics Limited (NASDAQ:WETO) disclosed on April 30 that it had filed to sell approximately 19 million ordinary shares on behalf of existing holders. The filing could increase market liquidity and broaden investor participation as the company continues transitioning toward physical AI infrastructure and wearable robotics technologies. Although secondary share offerings can introduce short-term volatility, the expanded float may improve capital market flexibility and support greater institutional awareness as Wetour advances its development initiatives.

Earlier, on April 9, Wetour Robotics Limited announced the appointment of Bin Lian as chief technology officer and Yu-Tien Chiu as chief marketing officer. Lian will oversee the company’s Austin-based engineering operations and lead development of the Orchestra human-machine interaction platform, including VisionLink camera-based visual recognition systems and the Conductor EMG neural gesture classification module. The appointments reflect Wetour’s efforts to strengthen both technological execution and commercialization capabilities as it advances next-generation robotics and physical AI solutions.

Wetour Robotics Limited is a technology company transitioning from AI-driven mobility services into physical AI infrastructure and wearable robotics development. Founded in 2019 and headquartered in Austin, the company utilizes machine learning technologies to develop its “Spatial Intent Fusion” system, enabling artificial intelligence platforms to interpret and respond to a user’s surroundings and physical movements in real time. Its technologies are designed to support enhanced interaction between humans and intelligent robotic systems.

The company’s executive leadership additions and continued investment in advanced human-machine interaction technologies could improve its ability to commercialize emerging physical AI applications across multiple industries.

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