Comparison Analysis of FTEC and IYW Technology ETFs
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jan 31 2026
0mins
Should l Buy NVDA?
Source: NASDAQ.COM
- Cost and Income Advantage: FTEC boasts an expense ratio of 0.08%, significantly lower than IYW's 0.38%, translating to annual fees of $8 versus $38 for every $10,000 invested, making FTEC more appealing for cost-conscious investors over the long term.
- Stock Holdings Comparison: With 289 holdings, FTEC has more than double the number of stocks compared to IYW, and while both funds share top positions in Nvidia, Microsoft, and Apple, FTEC allocates a smaller percentage to these stocks at 44.42% versus 46.09%, which could impact overall returns.
- Performance Comparison: Although FTEC excels in fees and dividend yield (0.43% vs. 0.14%), IYW has outperformed FTEC in both 12-month and five-year total returns, indicating that its more concentrated investment strategy may yield higher returns.
- Risk and Return Trade-off: FTEC exhibits a smaller maximum drawdown over five years, showcasing better risk management; while IYW offers higher returns, FTEC's diversified approach helps mitigate risk, making it suitable for risk-averse investors.
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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: 175.750
Low
200.00
Averages
264.97
High
352.00
Current: 175.750
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.
Nvidia Projects $1 Trillion AI Revenue by 2027
- Revenue Surge Expected: Nvidia projects its AI revenue to reach $1 trillion by 2027, a significant increase from the $500 billion expected this year, indicating strong growth potential in the AI market that may attract more investor interest.
- Strong GPU Sales: In Q4 of fiscal 2026, Nvidia reported sales of $68.1 billion, a 73% year-over-year increase, with the data center segment contributing $62.3 billion, up 75%, showcasing the company's sustained competitiveness in a high-demand market.
- New Product Launch: At the GTC conference, Nvidia unveiled NemoClaw, designed to provide AI agents for OpenClaw, demonstrating the company's innovative capabilities in agentic AI, which could further drive its market share growth.
- Market Capitalization Changes: Despite Nvidia's stock being down 15% from its all-time high, resulting in a market cap loss of approximately $1 trillion, CEO Jensen Huang emphasized that AI will be a crucial growth driver for the company, potentially prompting investors to reassess its investment value.
See More
Nvidia Anticipates Massive Growth in Data Center Spending
- Data Center Spending Forecast: Nvidia anticipates that global data center capital expenditures will reach $3 trillion to $4 trillion by 2030, indicating strong demand for AI technology and significant market potential that could drive substantial revenue growth for the company.
- Capital Expenditure Trends: By 2026, the big four hyperscalers are expected to spend $650 billion, excluding expenditures from China and other major AI players, highlighting the increasing reliance on Nvidia's products in the market.
- Industry Growth Rate: Nvidia projects a 48% compound annual growth rate (CAGR) for the industry, and if this rate continues through 2030, the company's revenue could reach $1.53 trillion, significantly surpassing the $216 billion generated in the past 12 months, showcasing its potential market leadership.
- Investor Confidence: While Nvidia is considered a top stock pick, it was not included in the Motley Fool's current list of best investment stocks, reflecting differing market perceptions about its future performance, prompting investors to carefully assess risks and opportunities.
See More
Investment Opportunities in the AI Infrastructure Revolution
- Nvidia's Market Leadership: Nvidia has established itself as a leader in AI hardware with its GPU architectures, and is expected to benefit from the rapid growth of AI infrastructure, driving sustained revenue growth and profit margin expansion in the coming years.
- Integration of Software and Inference: Nvidia is integrating inference with its communication software, a shift that will accelerate the development of new applications, particularly in robotics, autonomous driving, and intelligent systems, further solidifying its competitive advantage.
- Amazon's Vertical Integration: Amazon is rapidly building AI data centers through its AWS platform and proprietary Trainium and Inferentia chips to meet surging demand, allowing it to capture more value across the AI value chain.
- Advantages of Full-Stack Control: Amazon's full-stack control over AI infrastructure enables it to achieve cost-effective solutions across multiple layers, including chips, cloud services, and physical deployment, significantly enhancing its competitive edge in the market over the next decade.
See More
AI Infrastructure Revolution Drives Investment Opportunities
- Market Leadership: Nvidia has established itself as a leader in AI hardware with its GPU architectures and is transitioning to a comprehensive platform business, which, by intertwining inference and software, is expected to unlock new application scenarios quickly, driving sustained revenue growth and profit margin expansion over the coming years.
- Full-Stack Control Advantage: Amazon achieves unmatched vertical integration in AI infrastructure through its AWS cloud computing services and custom silicon chips (Trainium and Inferentia), enabling it to meet surging market demand with more cost-effective solutions, thereby enhancing its competitive edge.
- Emerging Application Areas: Nvidia's technological transformation is set to drive the development of emerging applications such as robotics, autonomous vehicles, and intelligent systems, with infrastructure spending in these areas expected to dwarf the previous data center boom, further solidifying Nvidia's market position.
- Investment Return Potential: With AI infrastructure spending projected to reach trillions of dollars, Nvidia and Amazon stand out as key beneficiaries, making them attractive investment opportunities for investors seeking high returns over the next decade, particularly as they establish themselves as the operating systems of the AI economy.
See More
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- Rating Change: Jay Goldberg from Seaport Research has a sell rating on Nvidia with a target price of $140, indicating a potential downside of 21%, reflecting concerns over Nvidia's circular investments and increasing competition.
- Competitive Landscape: Broadcom leads in high-speed networking chips and custom AI accelerators, with AI semiconductor sales surging 106% in Q1, indicating strong market demand and future growth potential.
- Financial Performance Comparison: Nvidia's adjusted earnings rose 82% in Q4, with Wall Street projecting a 53% annual growth rate over the next three years, showcasing its robust competitive position in the AI infrastructure market.
- Industry Outlook: While Broadcom's total revenue increased by 29% in Q1, its growth rate lags behind Nvidia due to legacy product drag, but future AI products are expected to drive accelerated revenue growth as they comprise a larger share of total sales.
See More
Nvidia's Price Target Raised to $265 Amid Strong Growth Prospects
- Price Target Increase: Wall Street analysts have set a median target price of $265 per share for Nvidia, indicating a 50% upside from its current price of $177, reflecting strong market optimism regarding its future growth.
- Strong Financial Performance: Nvidia reported a 73% year-over-year increase in sales for Q4 FY2026, reaching $68 billion, with a 2 percentage point expansion in gross margin and an 82% rise in non-GAAP earnings to $1.62 per share, underscoring its robust position in the AI infrastructure market.
- Significant Technical Advantages: Nvidia's vertically integrated full-stack computing platform combines CPUs, GPUs, and networking solutions to optimize system performance and reduce total cost of ownership, further solidifying its dominance in the data center GPU market.
- Future Growth Potential: Data center GPU spending is projected to grow at a rate of 35% annually, positioning Nvidia for over 30% annual revenue growth in the coming years, especially with the upcoming launch of the next-generation Rubin GPU, which will deliver ten times the performance per watt.
See More
Nvidia Projects $1 Trillion AI Revenue by 2027
- Revenue Surge Expected: Nvidia projects its AI revenue to reach $1 trillion by 2027, a significant increase from the $500 billion expected this year, indicating strong growth potential in the AI market that may attract more investor interest.
- Strong GPU Sales: In Q4 of fiscal 2026, Nvidia reported sales of $68.1 billion, a 73% year-over-year increase, with the data center segment contributing $62.3 billion, up 75%, showcasing the company's sustained competitiveness in a high-demand market.
- New Product Launch: At the GTC conference, Nvidia unveiled NemoClaw, designed to provide AI agents for OpenClaw, demonstrating the company's innovative capabilities in agentic AI, which could further drive its market share growth.
- Market Capitalization Changes: Despite Nvidia's stock being down 15% from its all-time high, resulting in a market cap loss of approximately $1 trillion, CEO Jensen Huang emphasized that AI will be a crucial growth driver for the company, potentially prompting investors to reassess its investment value.
See More
Nvidia Anticipates Massive Growth in Data Center Spending
- Data Center Spending Forecast: Nvidia anticipates that global data center capital expenditures will reach $3 trillion to $4 trillion by 2030, indicating strong demand for AI technology and significant market potential that could drive substantial revenue growth for the company.
- Capital Expenditure Trends: By 2026, the big four hyperscalers are expected to spend $650 billion, excluding expenditures from China and other major AI players, highlighting the increasing reliance on Nvidia's products in the market.
- Industry Growth Rate: Nvidia projects a 48% compound annual growth rate (CAGR) for the industry, and if this rate continues through 2030, the company's revenue could reach $1.53 trillion, significantly surpassing the $216 billion generated in the past 12 months, showcasing its potential market leadership.
- Investor Confidence: While Nvidia is considered a top stock pick, it was not included in the Motley Fool's current list of best investment stocks, reflecting differing market perceptions about its future performance, prompting investors to carefully assess risks and opportunities.
See More
Investment Opportunities in the AI Infrastructure Revolution
- Nvidia's Market Leadership: Nvidia has established itself as a leader in AI hardware with its GPU architectures, and is expected to benefit from the rapid growth of AI infrastructure, driving sustained revenue growth and profit margin expansion in the coming years.
- Integration of Software and Inference: Nvidia is integrating inference with its communication software, a shift that will accelerate the development of new applications, particularly in robotics, autonomous driving, and intelligent systems, further solidifying its competitive advantage.
- Amazon's Vertical Integration: Amazon is rapidly building AI data centers through its AWS platform and proprietary Trainium and Inferentia chips to meet surging demand, allowing it to capture more value across the AI value chain.
- Advantages of Full-Stack Control: Amazon's full-stack control over AI infrastructure enables it to achieve cost-effective solutions across multiple layers, including chips, cloud services, and physical deployment, significantly enhancing its competitive edge in the market over the next decade.
See More
AI Infrastructure Revolution Drives Investment Opportunities
- Market Leadership: Nvidia has established itself as a leader in AI hardware with its GPU architectures and is transitioning to a comprehensive platform business, which, by intertwining inference and software, is expected to unlock new application scenarios quickly, driving sustained revenue growth and profit margin expansion over the coming years.
- Full-Stack Control Advantage: Amazon achieves unmatched vertical integration in AI infrastructure through its AWS cloud computing services and custom silicon chips (Trainium and Inferentia), enabling it to meet surging market demand with more cost-effective solutions, thereby enhancing its competitive edge.
- Emerging Application Areas: Nvidia's technological transformation is set to drive the development of emerging applications such as robotics, autonomous vehicles, and intelligent systems, with infrastructure spending in these areas expected to dwarf the previous data center boom, further solidifying Nvidia's market position.
- Investment Return Potential: With AI infrastructure spending projected to reach trillions of dollars, Nvidia and Amazon stand out as key beneficiaries, making them attractive investment opportunities for investors seeking high returns over the next decade, particularly as they establish themselves as the operating systems of the AI economy.
See More
Analyst Recommends Selling Nvidia and Buying Broadcom
- Rating Change: Jay Goldberg from Seaport Research has a sell rating on Nvidia with a target price of $140, indicating a potential downside of 21%, reflecting concerns over Nvidia's circular investments and increasing competition.
- Competitive Landscape: Broadcom leads in high-speed networking chips and custom AI accelerators, with AI semiconductor sales surging 106% in Q1, indicating strong market demand and future growth potential.
- Financial Performance Comparison: Nvidia's adjusted earnings rose 82% in Q4, with Wall Street projecting a 53% annual growth rate over the next three years, showcasing its robust competitive position in the AI infrastructure market.
- Industry Outlook: While Broadcom's total revenue increased by 29% in Q1, its growth rate lags behind Nvidia due to legacy product drag, but future AI products are expected to drive accelerated revenue growth as they comprise a larger share of total sales.
See More
Nvidia's Price Target Raised to $265 Amid Strong Growth Prospects
- Price Target Increase: Wall Street analysts have set a median target price of $265 per share for Nvidia, indicating a 50% upside from its current price of $177, reflecting strong market optimism regarding its future growth.
- Strong Financial Performance: Nvidia reported a 73% year-over-year increase in sales for Q4 FY2026, reaching $68 billion, with a 2 percentage point expansion in gross margin and an 82% rise in non-GAAP earnings to $1.62 per share, underscoring its robust position in the AI infrastructure market.
- Significant Technical Advantages: Nvidia's vertically integrated full-stack computing platform combines CPUs, GPUs, and networking solutions to optimize system performance and reduce total cost of ownership, further solidifying its dominance in the data center GPU market.
- Future Growth Potential: Data center GPU spending is projected to grow at a rate of 35% annually, positioning Nvidia for over 30% annual revenue growth in the coming years, especially with the upcoming launch of the next-generation Rubin GPU, which will deliver ten times the performance per watt.
See More
