Taiwan's President downplays trade tensions with U.S. calling it “frictions between friends”
Written by Emily J. Thompson, Senior Investment Analyst
Updated: May 20 2025
0mins
Source: SeekingAlpha
Taiwan-U.S. Trade Relations: Taiwanese President Lai Ching-te described the trade tensions with the U.S. as "frictions between friends," emphasizing optimism for ongoing tariff negotiations and the importance of trust and dialogue in resolving differences.
AI Supercomputer Development: Nvidia's CEO Jensen Huang announced plans to build an AI supercomputer in Taiwan, collaborating with Taiwan Semiconductor Manufacturing Company, Foxconn, and the Taiwanese government, highlighting Taiwan's role in the tech industry amidst geopolitical challenges.
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Analyst Views on TSM
Wall Street analysts forecast TSM stock price to fall
8 Analyst Rating
7 Buy
1 Hold
0 Sell
Strong Buy
Current: 375.100
Low
63.24
Averages
313.46
High
390.00
Current: 375.100
Low
63.24
Averages
313.46
High
390.00
About TSM
Taiwan Semiconductor Manufacturing Co Ltd is a Taiwan-based integrated circuit foundry service provider. The Company is primarily engaged in integrated circuit manufacturing services. It offers advanced process technologies, specialised process solutions, advanced photomask and silicon stacking, and packaging-related technologies, while supporting a comprehensive design ecosystem. The Company's products serve diverse electronic sectors including artificial intelligence, high-performance computing, wired and wireless communications, automotive and industrial equipment, personal computing, information applications, consumer electronics, smart internet of things, and wearable devices.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
TSMC Reports Strong Q1 Earnings Exceeding Expectations
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- Significant Revenue Growth: The company reported Q1 revenue of $35.9 billion, a 40.6% year-over-year increase, exceeding market expectations by $410 million, reflecting strong global demand for high-performance computing and AI chips, driving sustained growth.
- Advanced Process Revenue Share: Shipments of 3nm, 5nm, and 7nm technologies accounted for 25%, 36%, and 13% of total wafer revenue, respectively, with advanced technologies (7nm and above) making up 74% of total revenue, showcasing TSMC's competitiveness in the high-end market.
- Optimistic Market Outlook: With ongoing demand for AI, TSMC is expected to continue reporting strong quarterly results, fostering a positive market sentiment that may attract more investor interest.
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TSMC Files 2025 Annual Report with SEC
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- Technological Strength: By 2025, TSMC deployed 305 distinct process technologies and manufactured 12,682 products for 534 customers, showcasing its leadership and innovation capabilities in the semiconductor industry.
- Global Operations: TSMC's global operations across Asia, Europe, and North America support its role as the world's leading dedicated semiconductor foundry, fostering a thriving ecosystem for global customers and partners.
- Corporate Citizenship: As a global enterprise, TSMC is committed to fulfilling its corporate citizenship responsibilities, actively participating in social and environmental sustainability, thereby further solidifying its reputation in the industry.
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- Competitor Analysis: While companies like AMD, Broadcom, and Alphabet pose competition in the GPU market, Nvidia's biggest threat comes from its own customers, such as Meta, Microsoft, and Amazon, who are developing their own AI solutions that could undermine Nvidia's pricing power.
- Internal Development Threat: These large customers' internally developed GPUs are significantly cheaper than Nvidia's hardware and typically do not face delivery delays due to overwhelming demand, which could pressure Nvidia's gross margins, especially as AI GPU scarcity diminishes.
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- Intensifying Competition: While companies like AMD, Broadcom, and Alphabet pose significant competition in the GPU and AI chip sectors, the greatest threat to Nvidia comes from its own customers, who are developing their own AI solutions that could undermine Nvidia's market share.
- Internal Threats Emerge: Major clients such as Meta, Microsoft, and Amazon are creating proprietary GPUs; although these products cannot match Nvidia's high-end offerings, their lower costs and lack of backlog could chip away at Nvidia's pricing power and gross margins.
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- Potential for Technological Innovation: Euclyd claims its chips can achieve 100x higher efficiency in inference compared to Nvidia's latest Vera Rubin chips, and if successfully deployed, could significantly reduce energy and costs in AI data centers, enhancing market competitiveness.
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- Increased Investor Interest: As interest in AI inference technology grows, investors are increasingly focusing on European startups, indicating a shift from niche investments to core strategies that could reshape the future of AI infrastructure.
See More
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- Potential for Technological Innovation: Euclyd claims its AI chips can deliver 100x higher efficiency for inference compared to Nvidia's latest Vera Rubin chips, and if successfully commercialized, this could significantly enhance its market competitiveness, particularly in energy efficiency and cost for AI data center infrastructure.
- Intensifying Market Competition: Although European startups have raised only $800 million in 2026, compared to $4.7 billion in the U.S., the rising demand for AI inference chips is increasing investor interest in these companies, indicating a maturing market.
- Policy Environment Challenges: European startups face hurdles such as long development timelines, lack of effective government support mechanisms, and legal barriers to cross-border talent recruitment, which may impact their competitiveness in the global market.
See More
TSMC Reports Strong Q1 Earnings Exceeding Expectations
- Earnings Beat: TSMC's Q1 GAAP EPS of $3.49 surpassed expectations by $0.11, indicating robust performance in the semiconductor market and likely boosting investor confidence moving forward.
- Significant Revenue Growth: The company reported Q1 revenue of $35.9 billion, a 40.6% year-over-year increase, exceeding market expectations by $410 million, reflecting strong global demand for high-performance computing and AI chips, driving sustained growth.
- Advanced Process Revenue Share: Shipments of 3nm, 5nm, and 7nm technologies accounted for 25%, 36%, and 13% of total wafer revenue, respectively, with advanced technologies (7nm and above) making up 74% of total revenue, showcasing TSMC's competitiveness in the high-end market.
- Optimistic Market Outlook: With ongoing demand for AI, TSMC is expected to continue reporting strong quarterly results, fostering a positive market sentiment that may attract more investor interest.
See More
TSMC Files 2025 Annual Report with SEC
- Annual Report Submission: TSMC today filed its 2025 annual report with the U.S. Securities and Exchange Commission, available on its website, reflecting the company's commitment to transparency and regulatory compliance.
- Technological Strength: By 2025, TSMC deployed 305 distinct process technologies and manufactured 12,682 products for 534 customers, showcasing its leadership and innovation capabilities in the semiconductor industry.
- Global Operations: TSMC's global operations across Asia, Europe, and North America support its role as the world's leading dedicated semiconductor foundry, fostering a thriving ecosystem for global customers and partners.
- Corporate Citizenship: As a global enterprise, TSMC is committed to fulfilling its corporate citizenship responsibilities, actively participating in social and environmental sustainability, thereby further solidifying its reputation in the industry.
See More
Nvidia Faces Internal Competition Threats
- Market Share Advantage: According to PwC analysts, Nvidia holds over 90% of the GPU market share in AI-accelerated data centers, attracting numerous businesses due to its superior computing capabilities, thereby solidifying its market leadership.
- Competitor Analysis: While companies like AMD, Broadcom, and Alphabet pose competition in the GPU market, Nvidia's biggest threat comes from its own customers, such as Meta, Microsoft, and Amazon, who are developing their own AI solutions that could undermine Nvidia's pricing power.
- Internal Development Threat: These large customers' internally developed GPUs are significantly cheaper than Nvidia's hardware and typically do not face delivery delays due to overwhelming demand, which could pressure Nvidia's gross margins, especially as AI GPU scarcity diminishes.
- Future Outlook: Although Nvidia's leadership in AI infrastructure appears secure, the rise of customer-developed chips may erode its data center market share in the coming quarters, potentially impacting its profitability.
See More
AI Market Potential Exceeds $15 Trillion, Nvidia Faces Internal Competition
- Massive Market Potential: According to PwC analysts, the global AI market is projected to exceed $15 trillion by 2030, with Nvidia leading the charge as a GPU titan, highlighting its critical role in technological advancement.
- Intensifying Competition: While companies like AMD, Broadcom, and Alphabet pose significant competition in the GPU and AI chip sectors, the greatest threat to Nvidia comes from its own customers, who are developing their own AI solutions that could undermine Nvidia's market share.
- Internal Threats Emerge: Major clients such as Meta, Microsoft, and Amazon are creating proprietary GPUs; although these products cannot match Nvidia's high-end offerings, their lower costs and lack of backlog could chip away at Nvidia's pricing power and gross margins.
- Uncertain Future Outlook: As internal development of AI chips increases, Nvidia's pricing power and mid-70% gross margins may come under pressure, and while its market leadership remains intact for now, the future landscape warrants close monitoring.
See More
European Chip Startups Seek Funding Amid AI Boom
- Surge in Funding Needs: Dutch startup Euclyd is in talks for at least €100 million ($118 million) in funding to support its AI chip development, reflecting strong demand for new technologies amid the AI boom.
- Potential for Technological Innovation: Euclyd claims its chips can achieve 100x higher efficiency in inference compared to Nvidia's latest Vera Rubin chips, and if successfully deployed, could significantly reduce energy and costs in AI data centers, enhancing market competitiveness.
- Intensifying Market Competition: Although European startups have raised $800 million in 2026, this is still far below the $4.7 billion raised by U.S. counterparts, highlighting funding shortages and market challenges that may hinder technological advancement in Europe.
- Increased Investor Interest: As interest in AI inference technology grows, investors are increasingly focusing on European startups, indicating a shift from niche investments to core strategies that could reshape the future of AI infrastructure.
See More
European Chip Startups Accelerate Funding Amid AI Boom
- Surge in Funding Demand: Dutch startup Euclyd is in talks for over €100 million ($118 million) in funding, highlighting the urgent capital needs of European chip startups amid the AI boom, despite challenges in the local semiconductor manufacturing sector.
- Potential for Technological Innovation: Euclyd claims its AI chips can deliver 100x higher efficiency for inference compared to Nvidia's latest Vera Rubin chips, and if successfully commercialized, this could significantly enhance its market competitiveness, particularly in energy efficiency and cost for AI data center infrastructure.
- Intensifying Market Competition: Although European startups have raised only $800 million in 2026, compared to $4.7 billion in the U.S., the rising demand for AI inference chips is increasing investor interest in these companies, indicating a maturing market.
- Policy Environment Challenges: European startups face hurdles such as long development timelines, lack of effective government support mechanisms, and legal barriers to cross-border talent recruitment, which may impact their competitiveness in the global market.
See More
