Historic $10.8 Billion Sell-off in Tech Stocks Recorded by Bank of America
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 1 hour ago
0mins
Source: CNBC
- Record Tech Sell-off: Investors sold $10.8 billion in tech stocks last week, marking the largest amount ever tracked by Bank of America since 2008, indicating a significant decline in market confidence that could lead to prolonged adjustments.
- Market Capitalization Impact: The selling represented the highest outflows as a percentage of the S&P 500 tech sector's market capitalization since 2014, suggesting weakened investor confidence that may influence future investment decisions and market trends.
- Single Stock Sell-off Record: Bank of America clients recorded a historic $14.2 billion in single stock sales last week, reflecting institutional investors' concerns about market outlook, which could lead to liquidity tightening and increased market volatility.
- Uncertain Chip Stock Outlook: The iShares Semiconductor ETF (SOXX) plummeted 10.4% last Friday, the largest drop since the pandemic began, with analysts warning of further downside risks in the short term, urging investors to be cautious of potential market bubbles.
Trade with 70% Backtested Accuracy
Stop guessing "Should I Buy NVDA?" and start using high-conviction signals backed by rigorous historical data.
Sign up today to access powerful investing tools and make smarter, data-driven decisions.
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: 208.190
Low
200.00
Averages
264.97
High
352.00
Current: 208.190
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.
- Data Center Development: OpenAI is in discussions with SB Energy to lease a proposed 10-gigawatt data center on federal land in Ohio, with an estimated construction cost of at least $500 billion, reflecting strong demand for high-performance computing.
- Long-Term Lease Agreement: Under a 20-year lease, OpenAI will control the facility's equipment, with payments commencing once operations begin, expected in 2028, indicating the company's strategic positioning for future computing capabilities.
- Nvidia's Support: Nvidia is expected to supply hardware for the facility and provide financial guarantees for OpenAI's lease and SB Energy's financing, which not only enhances OpenAI's financial security but may also expedite the project's progress.
- Industry Impact: This data center will be among the largest of its kind, marking OpenAI's further expansion in the AI sector while potentially driving investments and developments in high-performance computing infrastructure across the industry.
See More
- Orbital Compute Initiative: SpaceX aims to launch initial demonstrations of its orbital AI computing infrastructure by late 2027, ahead of the 2028 timeline disclosed in its IPO filing, showcasing the company's confidence in future technology and market potential.
- Investor Presentation Highlights: During investor meetings, SpaceX executives emphasized their unique advantage in commercializing orbital AI compute, claiming to be the only company with a viable path, which is likely to attract more investor interest in their $75 billion IPO fundraising plan.
- Satellite Launch Permission Request: SpaceX has requested permission from regulators to launch up to 1 million space-based data-center satellites, indicating its ambitious plans in the orbital computing sector, which, if successful, would significantly enhance its market competitiveness.
- Technical Challenges and Confidence: Despite delays in Starship rocket development, CEO Elon Musk stated that building orbital AI data centers is not a difficult engineering challenge, as it will leverage existing technology from the Starlink satellite network, thereby boosting investor confidence in the project.
See More
- Nvidia's Market Dominance: Nvidia continues to dominate the AI infrastructure space, with its GPUs playing a crucial role in AI model training, recently reporting an 85% revenue surge to $81.6 billion, indicating strong market demand and growth potential.
- AMD's Growth Potential: Although AMD lagged during the large language model training phase, its positioning for inference is more favorable, with expectations to benefit from a $120 billion market opportunity in the coming years, particularly as its new architecture is designed for agentic AI.
- Broadcom's Outlook: Broadcom leads in data center networking technology, forecasting AI chip revenues to exceed $100 billion by fiscal 2027; despite not raising guidance recently, it offers investors an opportunity at a forward P/E of 20 times.
- Investment Opportunities Amid Market Volatility: The recent sell-off in semiconductor stocks presents a good buying opportunity for investors, particularly in light of the ongoing demand for AI infrastructure, with Nvidia, AMD, and Broadcom viewed as attractive investment targets.
See More
- Nvidia's Market Dominance: Nvidia remains the dominant player in AI model training with its GPUs, reporting an 85% revenue surge to $81.6 billion last quarter, indicating strong growth potential as it shifts towards inference and agentic AI workloads.
- AMD's Growth Opportunities: AMD is well-positioned to capitalize on a $120 billion market opportunity in inference and agentic AI, with its GPU-to-CPU ratio expected to shift from 8:1 to 1:1, driving rapid technological advancements.
- Broadcom's Potential Growth: Despite not raising its AI chip revenue guidance, Broadcom anticipates its AI chip business will exceed $100 billion by fiscal 2027, with a current forward P/E of 20, allowing investors to enter at a lower price point and benefit from future growth.
- Optical Networking Technology Advantage: Broadcom's leadership in optical networking and custom chip design, particularly through its collaboration with Alphabet on Tensor Processing Units (TPUs), will provide significant revenue growth potential, even as market focus on its optical technology has waned.
See More
- Strong Market Demand: According to McKinsey, the global semiconductor market is projected to reach $1.6 trillion by 2030, up from $775 billion in 2024, indicating that the robust demand driven by AI technology will persist, further solidifying TSMC's leadership in the industry.
- Capacity Expansion Plans: TSMC plans to invest $265 billion in building 10 semiconductor fabrication plants in the U.S.; although it will take time to bring these new fabs online, this initiative will significantly enhance its capacity to meet the growing customer demand, particularly in the AI sector.
- Industry Leadership: TSMC commands an impressive 73% share of the global pure-play foundry market, having produced over 12,000 products for 534 customers last year, underscoring its critical role in the global semiconductor supply chain and serving as a barometer for industry health.
- Investment Opportunities: With the advent of the AI supercycle, many semiconductor stocks are currently attractively valued, providing investors with opportunities to invest in this context and potentially achieve substantial returns in the coming years.
See More
- Record Tech Sell-off: Investors sold $10.8 billion in tech stocks last week, marking the largest amount ever tracked by Bank of America since 2008, indicating a significant decline in market confidence that could lead to prolonged adjustments.
- Market Capitalization Impact: The selling represented the highest outflows as a percentage of the S&P 500 tech sector's market capitalization since 2014, suggesting weakened investor confidence that may influence future investment decisions and market trends.
- Single Stock Sell-off Record: Bank of America clients recorded a historic $14.2 billion in single stock sales last week, reflecting institutional investors' concerns about market outlook, which could lead to liquidity tightening and increased market volatility.
- Uncertain Chip Stock Outlook: The iShares Semiconductor ETF (SOXX) plummeted 10.4% last Friday, the largest drop since the pandemic began, with analysts warning of further downside risks in the short term, urging investors to be cautious of potential market bubbles.
See More











