The artificial intelligence sector continues to expand across multiple industries in 2025. Companies making AI hardware, cloud services, and specialized software all reported strong revenue growth in recent quarters. Investors looking at long-term positions have multiple options across different market capitalizations.
AI adoption accelerated throughout 2025 in data centers, cloud computing, and enterprise applications. Major technology companies invested billions in AI infrastructure. Smaller specialized firms found growth in specific market segments like voice recognition and predictive analytics.
Nvidia Corporation maintains its position as the top AI hardware provider in 2025. The company reported 114% revenue growth year-over-year in Q3 2025. This growth came from strong demand for its Blackwell chips used in data centers.
NVIDIA Corporation, NVDA
Nvidia’s GPU technology dominates AI training workloads across major cloud providers. The company’s CUDA software platform creates a barrier for competitors. Major technology companies continue to order GPUs for their AI infrastructure projects.
Thirty-nine analysts rate Nvidia stock as “Strong Buy” with an average 12-month price target of $248.64. This represents 36% potential growth from current levels around $183 per share. Morgan Stanley kept its Overweight rating on Nvidia stock and raised its price target to $250.
The firm cited continued demand for AI chips from cloud service providers. Nvidia currently has a market value above $3.4 trillion. The company’s revenue comes primarily from data center sales.
Microsoft Corporation expanded its AI business through Azure cloud services and OpenAI partnership. Cloud revenue grew 40% in recent quarters. The company’s Copilot tools help drive productivity for business customers.
Microsoft Corporation, MSFT
Microsoft generates $78 billion in free cash flow to fund AI infrastructure investments. The company uses these resources to build data centers and develop AI software. Enterprise customers adopt Microsoft’s AI tools for workplace productivity.
Thirty-three analysts give Microsoft stock a “Strong Buy” consensus rating. The average price target stands at $628.03, roughly 30% above the current $483 price. DA Davidson maintained a Buy rating on Microsoft with a $650 price target.
The analyst firm highlighted Azure’s advantages in hybrid cloud AI services. Microsoft’s market capitalization reached $3.6 trillion. The company pays dividends while investing in AI growth.
Taiwan Semiconductor Manufacturing Company produces chips for Nvidia and AMD. The foundry controls mid-60s percentage of the global market share. TSM reported 41% revenue growth in Q3 2025 from AI chip production.
Taiwan Semiconductor Manufacturing Company Limited, TSM
The company builds new manufacturing facilities in the United States and Japan. These factories will produce advanced chips for AI applications. TSM’s advanced 3-nanometer production process supports its growth plans through 2030.
Analysts project a 17% compound annual growth rate for the company over the next five years. Barclays set a $355 price target for TSM stock. Analysts give the company a “Strong Buy” rating with an average target of $371.67.
This represents 21% potential growth from current trading levels. TSM has a market value of $1.1 trillion. The company supplies chips to most major technology firms.
SoundHound AI develops voice recognition technology for cars and restaurants. The company posted 89% revenue growth in Q2 2025. Partnerships with Stellantis and restaurant chains drove sales.
The company’s technology allows customers to speak naturally to devices and systems. SoundHound focuses on low-power voice AI for edge computing applications. This approach uses less energy than cloud-based voice systems.
Six analysts rate SoundHound stock as “Buy” with an average price target of $16.33. This represents 29% potential growth from the current $12.67 price. Ladenburg Thalmann set a $16 target for the stock.
SoundHound has a market capitalization of $4.2 billion. The company competes in the growing voice interface market.
C3.ai creates enterprise AI software for predictive analytics. Industries like manufacturing and energy use its platforms. The company changed leadership and now offers packaged solutions instead of custom builds.
This new strategy aims to make sales faster and easier. C3.ai targets companies that want ready-made AI tools. The company projects growth above 20% as more businesses adopt AI software.
Fourteen analysts give C3.ai a “Hold” consensus rating. The average price target is $24.29, which is 61% above the current $15 price. JMP Securities rates the stock as Outperform with a $55 target.
Hedge funds increased their positions in C3.ai stock recently. The company has a $3.5 billion market value. C3.ai competes with other enterprise software providers adding AI features.
This diversified AI basket—NVDA, MSFT, and TSM for scale; SOUN and AI for agility—taps into hardware, cloud, and apps. Amid economic uncertainties, AI’s secular trends offer resilience. Allocate equally, monitor earnings, and consult advisors. As AI reshapes the world, these stocks could deliver outsized returns by 2030.
The post Best AI Stocks to Buy Now for the Long Term appeared first on CoinCentral.

Legal experts are concerned that transforming ESMA into the “European SEC” may hinder the licensing of crypto and fintech in the region. The European Commission’s proposal to expand the powers of the European Securities and Markets Authority (ESMA) is raising concerns about the centralization of the bloc’s licensing regime, despite signaling deeper institutional ambitions for its capital markets structure.On Thursday, the Commission published a package proposing to “direct supervisory competences” for key pieces of market infrastructure, including crypto-asset service providers (CASPs), trading venues and central counterparties to ESMA, Cointelegraph reported.Concerningly, the ESMA’s jurisdiction would extend to both the supervision and licensing of all European crypto and financial technology (fintech) firms, potentially leading to slower licensing regimes and hindering startup development, according to Faustine Fleuret, head of public affairs at decentralized lending protocol Morpho.Read more

