Taiwan Semi's Supplier Dismisses Selloff, Projects Strong AI Growth Surge
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Sep 05 2024
0mins
Source: Benzinga
AI's Impact on Semiconductor Growth: Executives from Taiwan Semiconductor Manufacturing Co and Scientech Corp predict significant growth in the semiconductor industry driven by artificial intelligence, with expectations of a two-to-three-fold increase in equipment sales and a 50% compound growth rate for AI accelerators.
Market Performance and Trends: Despite recent selloffs in the chip sector, particularly affecting Nvidia and AMD, TSMC's stock has risen over 70% in the past year, reflecting strong demand for AI-related products and recovery from previous market slumps.
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Analyst Views on AMD
Wall Street analysts forecast AMD stock price to fall
33 Analyst Rating
25 Buy
8 Hold
0 Sell
Strong Buy
Current: 488.450
Low
210.00
Averages
289.13
High
377.00
Current: 488.450
Low
210.00
Averages
289.13
High
377.00
About AMD
Advanced Micro Devices, Inc. is a global semiconductor company. The Company is focused on high-performance computing and artificial intelligence (AI). Its segments include Data Center, Client and Gaming, and Embedded. Data Center segment includes AI accelerators, microprocessors (CPUs) for servers, graphics processing units (GPUs), accelerated processing units (APUs), data processing units (DPUs), Field Programmable Gate Arrays (FPGAs), and Adaptive system-on-Chip (SoC) products for data centers. Client and Gaming segment includes CPUs, APUs, chipsets for desktops and notebooks, discrete GPUs, and semi-custom SoC products and development services. Embedded segment includes embedded CPUs, APUs, FPGAs, system on modules (SOMs), and Adaptive SoC products. It markets and sells its products under the AMD trademark. Its products include AMD EPYC, AMD Ryzen, AMD Ryzen PRO, Virtex UltraScale+, among others.
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.
- Significant Growth: Nvidia's stock has soared 1,000% over the past five years, with the latest fiscal year revenue rising 65% to $215 billion and net income reaching $120 billion, showcasing its strong performance and profitability in the AI chip market.
- Strong Market Demand: Nvidia's GPUs are widely used for AI model training and real-world applications, with customers flocking to Nvidia for its speed advantage, which accelerates AI project commercialization and reduces long-term costs, further solidifying its market leadership.
- Product Line Expansion: Nvidia is not only focused on GPUs but is also launching its first standalone CPU for data centers and a superchip for personal computers, marking its entry into the CPU market and expected to drive applications in AI agent software.
- Shareholder Meeting Outlook: The shareholder meeting on June 24 will be held virtually, and while no major announcements are expected, CEO Jensen Huang may share insights on the AI market, which could influence short-term stock price movements.
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- Significant Earnings Growth: Nvidia's latest fiscal year saw a 65% revenue increase to $215 billion and net income soaring to $120 billion, reflecting strong demand for its AI chips and solidifying its market leadership.
- Strong Market Demand: Nvidia's GPUs are the preferred tools for customers in the commercialization of AI projects due to their exceptional speed and efficiency, enabling faster product launches and potentially lowering overall costs.
- New Market Expansion: Nvidia is entering the CPU market with plans to launch its first standalone data center CPU and a superchip for personal computers, marking a significant expansion in the AI sector and posing a threat to competitors like Intel and AMD.
- Shareholder Meeting Outlook: Nvidia's virtual shareholder meeting on June 24 will cover mainly director elections and executive compensation approvals, but CEO Jensen Huang may provide insights on the AI market, which could influence stock price movements.
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- TSMC Market Dominance: Taiwan Semiconductor Manufacturing, the world's leading semiconductor manufacturer, produces about 70% of processors and nearly 90% of advanced processors, with projections indicating a $1.5 trillion global chip market by 2030, driven by AI processor demand that boosted its sales by 32% to $121 billion in 2025, further solidifying its market position.
- Google AI Service Growth: Alphabet's Gemini AI model has doubled its user base to over 900 million in the past year, contributing to a 63% increase in Google Cloud sales to $20 billion in Q1, showcasing the extensive application of AI services and future revenue potential, with plans to gradually raise prices and introduce new features to enhance earnings.
- Nvidia's Market Share: Nvidia commands 86% of the AI data center revenue market, and despite rising competition, its latest quarter saw an 85% revenue increase to nearly $82 billion, with diluted earnings soaring 140% to $1.87 per share, reflecting its strong performance in the AI processor sector and relatively low price-to-earnings ratio.
- Future Demand Outlook: As the robotics and autonomy sectors expand, Nvidia anticipates a significant increase in demand for its high-end processors, with RBC analysts predicting the robotics industry could reach $9 trillion by 2050, further enhancing Nvidia's appeal as a long-term AI investment.
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- Market Leadership: Taiwan Semiconductor Manufacturing (TSMC) is the world's leading semiconductor manufacturer, producing about 70% of processors and nearly 90% of advanced processors, with projections indicating that the global chip market will reach $1.5 trillion by 2030, driven primarily by AI processor demand, which will further boost the company's sales.
- Alphabet's AI Progress: Alphabet's Gemini AI model has seen its user base double over the past year to over 900 million users, with Google Cloud sales attributed to AI services growing 63% to $20 billion in the first quarter, showcasing its strong growth potential in the AI sector.
- Nvidia's Market Share: Despite rising competition, Nvidia maintains an 86% share of the AI data center revenue market, with revenue increasing by 85% to nearly $82 billion in the most recent quarter, demonstrating its ongoing leadership and profitability in the AI processor space.
- Future Demand Outlook: As the robotics and autonomy sectors expand, Nvidia anticipates a significant increase in demand for high-end processors, with RBC analysts predicting the robotics industry could be worth $9 trillion by 2050, further solidifying Nvidia's long-term investment appeal.
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- Market Spending Surge: AI infrastructure spending is expected to exceed $700 billion in 2023, with Goldman Sachs projecting it could reach between $920 billion and $1.4 trillion next year, indicating robust market demand and investment potential.
- Nvidia's Market Leadership: Nvidia has emerged as the biggest beneficiary of AI infrastructure spending, with an 85% revenue growth last year and a forward P/E of 16 times, showcasing its sustained competitive advantage in AI model training.
- AMD's Growth Potential: Although trailing Nvidia in AI model training, AMD is better positioned for inference and agentic AI, with its market projected to reach $120 billion in the coming years, driving significant growth for the company.
- Micron's Profitability: As one of the top three DRAM manufacturers, Micron benefits from rising DRAM prices, expected to continue achieving record revenues and profits, with a forward P/E of 9 times, highlighting its importance in AI infrastructure.
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- Spending Growth Forecast: AI infrastructure spending is expected to exceed $700 billion in 2023, with Goldman Sachs projecting next year's spending to reach between $920 billion and $1.4 trillion, indicating strong market demand and investment confidence in AI technologies.
- Nvidia's Market Advantage: Nvidia, the biggest beneficiary of AI infrastructure spending, saw an 85% revenue growth last year, with a forward P/E of just 16 times, showcasing its strong competitive position in the GPU market and potential for future growth.
- AMD's Strategic Positioning: Although trailing Nvidia in AI model training, AMD's focus on inference and agentic AI presents significant market opportunities, with expectations to benefit from $100 billion in inference GPU commitments over the coming years.
- Micron's Memory Market Opportunities: As a leading DRAM manufacturer, Micron is capitalizing on rising DRAM prices, with expectations for record revenue and profits as data center spending continues to surge, and its forward P/E of 9 times indicates strong investment value.
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