Former Goldman Sachs Executive Calls TSMC the 'Federal Reserve' of Global Tech Market
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 1 hour ago
0mins
Source: stocktwits
- Capacity Control: Former Goldman Sachs executive Michael Parekh highlighted that TSMC controls approximately 90% of the chip production capacity needed by Nvidia, underscoring its critical role in the global tech market and its influence on AI infrastructure investment decisions.
- Surging Demand Expectations: Nvidia CEO Jensen Huang projected that AI infrastructure spending could reach $3 to $4 trillion by 2030, while Parekh believes this figure may be conservative, suggesting that actual spending could be higher if TSMC expands its capacity, reflecting strong market demand for chips.
- Long Construction Cycles: Parekh emphasized that building new advanced fabs at TSMC takes three to five years and requires tens of billions in investment, indicating challenges in meeting rapidly growing market demand, which could impact Nvidia's long-term growth potential.
- Impact of Technological Evolution: Over the past year, the primary use case for AI compute has shifted from chatbots to more complex reasoning models, with Parekh noting that this shift has led to a surge in chip demand, further exacerbating TSMC's capacity constraints and affecting the entire industry's supply chain.
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Analyst Views on NVDA
Wall Street analysts forecast NVDA stock price to rise
41 Analyst Rating
39 Buy
1 Hold
1 Sell
Strong Buy
Current: 219.510
Low
200.00
Averages
264.97
High
352.00
Current: 219.510
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is an artificial intelligence (AI) infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. Its segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing and networking platforms and AI solutions and software, and automotive platforms and autonomous and electric vehicle solutions, including software. The Graphics segment includes GeForce GPUs for gaming and personal computers (PCs), and Quadro/NVIDIA RTX GPUs for enterprise workstation graphics. Its technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits (SDKs), and application programming interfaces (APIs). Its platforms address four markets, which include Data Center, Gaming, Professional Visualization, and Automotive.
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.
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- Capacity Control: Former Goldman Sachs executive Michael Parekh highlighted that TSMC controls approximately 90% of the chip production capacity needed by Nvidia, underscoring its critical role in the global tech market and its influence on AI infrastructure investment decisions.
- Surging Demand Expectations: Nvidia CEO Jensen Huang projected that AI infrastructure spending could reach $3 to $4 trillion by 2030, while Parekh believes this figure may be conservative, suggesting that actual spending could be higher if TSMC expands its capacity, reflecting strong market demand for chips.
- Long Construction Cycles: Parekh emphasized that building new advanced fabs at TSMC takes three to five years and requires tens of billions in investment, indicating challenges in meeting rapidly growing market demand, which could impact Nvidia's long-term growth potential.
- Impact of Technological Evolution: Over the past year, the primary use case for AI compute has shifted from chatbots to more complex reasoning models, with Parekh noting that this shift has led to a surge in chip demand, further exacerbating TSMC's capacity constraints and affecting the entire industry's supply chain.
See More










