10 Best Rising AI Stocks to Buy Now
๐ Gartner projects worldwide AI spending will reach $2.52 trillion in 2026, representing a 44% year-over-year increase.
๐ ๏ธ A significant portion of this spending is directed toward infrastructure, with AI-optimized servers and semiconductors alone accounting for over $597 billion.
๐ข Enterprise adoption is shifting from pilot programs to operational use, with worker access to AI rising by 50% in the past year.
โก Scaling AI now depends heavily on power availability, chip supply, workflow redesign, and implementation discipline alongside model quality.
๐ Gartner indicates incumbent software providers will likely serve as the primary channels for enterprise AI adoption in 2026.
๐ BWS Financial raised its price target on A10 Networks to $28 and maintained a Buy rating following strong financial results.
๐ฐ A10 Networks reported record fourth-quarter revenue of $80.4 million and full-year revenue of $290.6 million, up 11% year over year.
๐ค NETSCOUT Systems extended its Omnis AI Insights offering to communications service providers to turn network traffic into AI-ready data.
๐ก NETSCOUT aims to help telecom operators deploy AI agents for predictive maintenance and security while reducing operational risk.
๐ฏ The selection of these stocks was based on criteria including a market cap over $1 billion and recent positive stock price momentum.
๐ These companies are popular among analysts and elite hedge funds, with the underlying research showing significant outperformance against benchmarks.
๐ NETSCOUT plans to showcase its new offering at Mobile World Congress in Barcelona from March 2-5, 2026.
- Global AI spending projected to reach $2.52 trillion in 2026, representing a 44% year-over-year increase.
- The market is seeing a shift from pilot programs to wider operational use of enterprise AI, with weekly ChatGPT Enterprise messages increasing roughly 8x over the past year and structured workflows rising 19x year-to-date.
- A10 Networks (NYSE:ATEN) reported record fourth-quarter revenue of $80.4 million and full-year 2025 revenue of $290.6 million, up 11% year over year.
- Investment firm BWS Financial raised its price target on A10 Networks to $28 from $24 and maintained its Buy rating, citing a growth outlook through 2028 that is stronger than its outlook for 2026.
- NETSCOUT announced that it had extended its Omnis AI Insights offering to communications service providers on February 19, 2026.
- McKinsey survey data cited in the release indicates that 64% of telecom executives are scaling AI efforts, presenting a significant opportunity for NETSCOUT's solutions.
- The company is positioned to help telecom operators deploy AI agents for predictive maintenance, service assurance, and security while reducing costs and operational risk.
- NetScout will showcase its extended offering at Mobile World Congress in Barcelona on March 2-5, 2026, providing visibility to a major industry event.
- NETSCOUT's portfolio of observability, AIOps, cybersecurity, and DDoS protection solutions serves enterprises, service providers, and public sector organizations.
- The company's data-centric approach addresses a key barrier to scaling AI identified by 45% of executives in the McKinsey survey as the main hurdle for growth.
- A large share of the $2.52 trillion projected AI spending in 2026 is going into infrastructure rather than finished business outcomes, suggesting potential capital inefficiency.
- Only 34% of organizations are truly reimagining their business around AI despite high adoption rates, indicating a significant gap between deployment and organizational redesign.
- AI processing semiconductors alone will account for $267.9 billion in 2026 infrastructure spending, raising concerns about concentration risk and potential supply bottlenecks.
- Scaling the industry now depends heavily on power availability, with data-centre electricity consumption projected to nearly double from 415 TWh in 2024 to 945 TWh by 2030, driven primarily by AI.
- The industry faces implementation discipline challenges as adoption broadens unevenly across enterprises and sectors.
- Data remains the main barrier for scaling AI efforts according to McKinsey survey results, with 45% of telecom executives identifying it as a critical hurdle.