2025 AI Stock Investment Landscape: Who Are the True Winners? AI Concept Stock Investment Guide

Since the explosion of ChatGPT, AI technology has shifted from a future vision to present reality, and related stock prices have undergone dramatic revaluation. But the question is: What kind of AI stocks are worth holding? Where exactly are the investment opportunities in 2025?

The Real Logic Behind AI Stock Revaluation

According to the latest IDC data, global enterprise spending on AI solutions is expected to reach $307 billion by 2025, and this figure could surpass $632 billion by 2028, with a compound annual growth rate of 29%. This is not just a number but a solid foundation for the capital markets to continue increasing their investments in AI-related targets.

It is worth noting that during this wave of investment enthusiasm, institutional funds are positioning precisely. Take Bridgewater Associates as an example: in its Q2 13F report for 2025, it significantly increased holdings in key AI companies like Nvidia, Alphabet, and Microsoft, reflecting that professional investors are shifting from the “concept stage” to the “fundamental validation stage.” Meanwhile, according to Morningstar, as of the end of Q1 2025, the total assets of global AI and big data funds have exceeded $30 billion, indicating that AI industry allocation via ETFs has become mainstream.

Leading US AI Stocks: Who is Running Non-Stop?

Nvidia(: The Absolute King of AI Computing Power

Nvidia’s GPUs and CUDA platform have become industry standards for training large AI models. Its 2024 revenue reached $60.9 billion, with an annual growth rate of over 120%, a growth speed rare among tech stocks. In Q2 2025, Nvidia’s revenue hit a new high of $28 billion, with net profit increasing over 200% year-over-year.

The core driver supporting this growth comes from the strong demand for Blackwell architecture GPUs (B200, GB200). As AI applications shift from training to inference, the demand for high-performance computing will continue to grow exponentially. As of September 19, 2025, NVDA’s market cap reached $4.28 trillion, with a YTD increase of 176.24%. Foreign institutional investors generally believe that Nvidia will be difficult to replace in the short term.

) Microsoft###: The Biggest Beneficiary of Enterprise AI Popularization

Microsoft, through its exclusive partnership with OpenAI and Azure AI platform, has become a leader in enterprise AI transformation. Its FY2024 revenue reached $211.2 billion, with Azure and cloud services growing 28%, and AI services contributing more than half of the growth momentum.

Entering FY2025, Microsoft’s monetization process accelerates. Its intelligent cloud revenue first surpassed $30 billion, and Copilot features are deeply integrated into products used by over 1 billion users worldwide, indicating that monetization capabilities will continue to be unleashed. As of September 19, MSFT’s market cap was $3.78 trillion, with a YTD increase of 20.63%.

( Broadcom) and ### AMD(: Key Players in the AI Supply Chain

Broadcom plays an indispensable role in AI chips and network connectivity. Its FY2024 revenue was $31.9 billion, with AI-related product revenue rapidly increasing to 25%. In Q2, revenue grew 19% year-over-year, benefiting from cloud service providers’ ongoing demand for customized ASIC chips and optical communication chips. As of September 19, AVGO’s market cap was $1.63 trillion, with a YTD increase of 48.96%.

AMD, with its Instinct MI300 series accelerators and CDNA 3 architecture, successfully entered the market dominated by Nvidia, providing a secondary supply source. Its 2024 revenue was $22.9 billion, with data center business up 27% annually. In Q2 2025, AMD’s revenue increased 18% year-over-year, and with the MI350 series launched in the second half of the year, AI-related revenue has multiplied. As of September 19, AMD’s market cap was $256.3 billion, with a YTD increase of 30.74%.

The Core Forces of AI Stock Prices in Taiwan Stocks

) Quanta Computer(2382): From OEM to AI Server Leader

Quanta has shifted from notebook OEM to AI server market, with its subsidiary Quanta Cloud Technology (QCT) successfully entering the supply chain of large US data centers. Its 2024 revenue reached NT$1.3 trillion, with the proportion of AI servers continuously increasing and gross margin significantly optimized.

In 2025, Quanta’s Q2 revenue broke through NT$300 billion, up more than 20% year-over-year, setting a new historical high for the same period. Foreign investors’ average target price is around NT$350 to NT$370, still with room for upside compared to current prices. As of September 19, Quanta’s stock price was NT$281, with a market value of about NT$1.09 trillion.

Realtek-KY(3661): The Hidden Champion in ASIC Design

Realtek specializes in customized chip design, serving US cloud giants and leading high-performance computing companies. Its full-year 2024 revenue reached NT$68.2 billion, with an annual growth rate of over 50%. In Q2, quarterly revenue exceeded NT$20 billion, doubling compared to the same period last year, with gross margin and net margin continuing to improve.

Benefiting from large AI customer projects entering mass production and new orders arriving, foreign investors’ average target price is between NT$2,200 and NT$2,400. As of September 19, Realtek’s stock price was NT$3,750, with a market value of about NT$30.37 billion, and a YTD increase of 20.97%.

( Delta Electronics)2308### and ( MediaTek)2454###: The Dual Orchestra of Infrastructure

Delta Electronics leverages power supply, cooling, and cabinet solutions to penetrate the AI server supply chain. Its 2024 revenue is about NT$420 billion, with the share from data centers and AI applications continuously rising. In Q2 2025, revenue was about NT$110 billion, up more than 15% year-over-year. As of September 19, the stock price was NT$888, with a market value of NT$2.31 trillion, and a YTD increase of 112.95%.

MediaTek is also deepening its layout in edge AI and automotive AI fields. Its Dimensity series integrates enhanced AI computing units, collaborating with Nvidia to develop automotive and edge AI solutions. In Q2 2025, revenue was about NT$120 billion, up approximately 20% year-over-year. As of September 19, the stock price was NT$1,440, with a market value of NT$2.31 trillion, and a YTD increase of 6.67%.

( Etron)3324(: The New Opportunity in Liquid Cooling

As AI server chips’ power consumption surpasses the kilowatt level, traditional air cooling has reached a bottleneck. Etron’s leading liquid cooling technology has successfully secured a position in the global supply chain. Its 2024 revenue was NT$24.5 billion, with an annual growth rate of over 30%.

In 2025, benefiting from cloud service providers accelerating the adoption of liquid cooling solutions, shipments surged from Q2 onwards, driving revenue and gross margin upward. Foreign analysts’ target prices are mostly above NT$600, reflecting high expectations for its future growth.

How to Invest Smartly in AI Stocks?

Besides directly buying stocks, investors can also allocate through funds and ETFs. Depending on individual risk tolerance and investment goals, consider the following three approaches:

Direct stock purchase offers the most flexibility but concentrates risk in single stocks; stock funds managed by professional fund managers can balance risk and return but have higher management fees; ETFs provide the lowest transaction costs and management fees, especially suitable for long-term dollar-cost averaging.

Products like Taishin Global AI ETF)00851### and Yuan Da Global AI ETF(00762) have become convenient tools for participating in the AI wave. According to Morningstar data, the global AI and big data fund market exceeds $30 billion, reflecting that both retail and institutional investors are deploying AI industry exposure via funds.

The 2025-2030 Investment Landscape of AI Stocks

Short-term volatility, long-term growth—this is the most accurate description of AI stock trends.

Fundamentally, as large language models, generative AI, and multimodal AI advance rapidly, the demand for computing power, data centers, and dedicated chips will continue to rise. Chip and hardware suppliers like Nvidia, AMD, and TSMC will remain the biggest beneficiaries. In the medium to long term, AI applications in healthcare, finance, manufacturing, and autonomous vehicles will gradually land, translating into actual revenue for enterprises.

From a capital perspective, macroeconomic factors cannot be ignored. If the Federal Reserve’s interest rate policy remains accommodative, it will be bullish for high-valuation tech stocks; otherwise, valuations may be compressed. AI concept stocks react sensitively to news, and short-term volatility is common.

From a policy perspective, many countries regard AI as a strategic industry and may increase subsidies and investments, providing positive support. However, issues like data privacy, algorithm bias, and copyright may lead to stricter regulations, challenging some companies’ valuations and business models.

Risks Investors Need to Watch Out For

• Industry Uncertainty: AI technology develops rapidly, making it difficult even for the most knowledgeable investors to keep up, risking sharp stock price swings driven by hype.
• Unproven Companies: Many AI companies lack a long track record, with operational risks much higher than stable, time-tested enterprises.
• Regulatory Uncertainty: As the field expands, public opinion and regulations may impact AI stock prices in unexpected ways.

Conclusion

AI stock prices in 2025 are characterized by “long-term optimism with short-term volatility.” For investors wanting to participate in AI growth, it is recommended to focus on infrastructure providers like chipmakers and server accelerators, or select companies with tangible applications. Diversified investment through AI-themed ETFs can effectively reduce risks associated with individual stock fluctuations. The most prudent strategy is long-term allocation with phased entry, avoiding chasing highs in the short term, to minimize market turbulence. After all, staying current and adjusting continuously are key to maximizing investment performance.