China's Tech Shock Threatens U.S. AI Monopoly
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 1 day ago
0mins
Should l Buy NVDA?
Source: Newsfilter
- Intensifying Tech Competition: Analyst Rory Green warns that China's rapid advancements in AI are breaking the U.S. tech monopoly, with predictions that most of the world may rely on a Chinese tech stack within the next 5 to 10 years, significantly impacting the U.S. market.
- National AI Fund Launched: China launched a 60.06 billion yuan ($8.69 billion) national AI fund last year and initiated the 'AI+' program to integrate AI technology across its economy and society, further accelerating its technological development.
- Cost Advantage Emerges: By leveraging massive Huawei chip clusters and abundant low-cost energy, China is narrowing the gap with the U.S. in AI model development, making its low-cost tech offerings attractive to developing economies and potentially reshaping the global tech landscape.
- U.S. Investment Return Concerns: U.S. tech giants announced capital expenditures of up to $700 billion in AI, raising concerns about returns and leading to a $1 trillion loss in market caps, reflecting growing doubts about the U.S.'s competitive edge against China.
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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: 182.810
Low
200.00
Averages
264.97
High
352.00
Current: 182.810
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is a full-stack computing infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. The Company’s segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing platforms and artificial intelligence (AI) solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms, and DGX Cloud computing services. The Graphics segment includes GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems, and Omniverse Enterprise software for building and operating industrial AI and digital twin applications.
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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See More
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- Nvidia Gains: Nvidia's stock rose late in the session due to a deal with Meta in the AI sector, highlighting its ongoing leadership in AI and potential new growth opportunities for the company.
- AMD and Broadcom Decline: In contrast, AMD and Broadcom saw their stock prices slump, reflecting market concerns about the semiconductor industry, which could impact investor confidence and future investment decisions in this sector.
- Divergent Investor Sentiment: While Nvidia performed strongly, the overall market sentiment remains divided, prompting investors to closely monitor industry dynamics and company fundamentals to make more informed investment choices.
See More
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- Data Center Upgrade: Meta will deploy Nvidia's Grace CPUs for the first large-scale application in its data center production, expected to significantly improve performance per watt, enhancing operational efficiency and supporting Meta's ambitions in AI.
- Increased Capital Expenditure: In its latest earnings report, Meta projected capital expenditures between $115 billion and $135 billion for 2026, a substantial increase from $72.22 billion in 2025, primarily aimed at developing Meta Superintelligence Labs, highlighting its commitment to AI technology.
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- TSMC's Critical Role: TSMC anticipates nearly 30% revenue growth in 2026, while AI-related chip revenue is expected to grow at a compound annual growth rate of nearly 60% from 2024 to 2029, underscoring its importance and future growth potential in the AI supply chain.
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