Humanoid Robot ETFs Gain Traction
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 11 hours ago
0mins
Source: NASDAQ.COM
- Market Potential: Humanoid robots are seen as the next big breakthrough in AI, and while no publicly traded company has generated significant revenue yet, investors might consider focusing on related ETFs to diversify their investments.
- ETF Investment Opportunity: The KraneShares Global Humanoid Robotics and Physical AI Index ETF (NASDAQ: KOID) launched on June 4, 2025, with $242.6 million in assets under management and a net expense ratio of 0.69%, providing investors with a diversified investment option.
- Technological Support and Development: This ETF covers a broad spectrum of the humanoid robot ecosystem, including semiconductors, actuation systems, and manufacturing companies, reflecting strong confidence in future technological advancements.
- Market Performance Comparison: As of May 29, 2026, KOID's year-to-date return was 31.4%, significantly outperforming the S&P 500 Index's 11.3%, indicating its strong performance in emerging markets.
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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: 214.250
Low
200.00
Averages
264.97
High
352.00
Current: 214.250
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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- New Software Release: The DSX MaxLPS software combines 45-degree liquid cooling with in-rack optimization technologies, enabling a 40% increase in token performance within a fixed power budget, significantly lowering operational costs and improving GPU utilization.
- Ecosystem Expansion: NVIDIA is partnering with leading Taiwanese system manufacturers to drive the development of the DSX ecosystem, ensuring extreme co-design for AI factories, facilitating rapid deployment and operation on a global scale.
- Market Responsiveness: The introduction of the DSX platform allows infrastructure builders to simulate the entire factory before investment, validating performance to reduce risk and enhance market responsiveness, further solidifying NVIDIA's leadership position in the AI sector.
See More
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- Strong Cash Flow: The company generated $8.0 billion in free cash flow in Q1, representing 41% of revenue, and authorized a $10 billion stock buyback, showcasing its strong profitability and commitment to returning capital to shareholders.
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See More
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See More
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- Production Scale Up: The NVIDIA Vera Rubin platform has entered full production, with Taiwan's top server manufacturers and global supply chain leaders scaling up the manufacturing of Vera Rubin-based systems, driving AI labs, cloud providers, and hyperscalers to build intelligent infrastructures.
- Significant Performance Boost: The Vera Rubin platform delivers 10x agent throughput compared to the previous-generation NVIDIA Grace Blackwell platform, significantly enhancing processing capabilities for AI factories and addressing the urgent demand for high-performance computing.
- Ecosystem Expansion: NVIDIA is ramping up production of Vera Rubin with 150 partners in Taiwan and over 350 factories across 30 countries, creating a robust supply chain ecosystem that ensures rapid product delivery and market responsiveness.
- Enhanced Security: The Vera Rubin platform integrates NVIDIA Confidential Computing, providing full-stack security assurances that meet high standards for data protection while processing sensitive information in AI factories.
See More
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- Threat Detection Speed: The runtime threat detection of Vera BlueField-4 STX is up to 1,000 times faster than existing agentless solutions, enabling enforcement of network and file access policies at speeds of up to 800Gb/s, significantly improving enterprise responsiveness to data security.
- Ecosystem Collaboration: Numerous cybersecurity and storage partners, such as Akamai, Cisco, and IBM, are building enterprise-grade AI storage solutions on the STX platform, promoting the adoption of secure storage infrastructure and reducing the risk of data breaches.
- Market Outlook: STX-based platforms are expected to be available from partners in the second half of 2026, with NVIDIA's innovations providing real-time control points to ensure security as AI agents process data, further driving the application and development of AI technologies.
See More
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- Wide Customer Base: Global AI labs including Anthropic, OpenAI, and SpaceXAI, along with hyperscalers like ByteDance, CoreWeave, and Oracle Cloud Infrastructure, are planning to adopt Vera CPUs to optimize their AI factories.
- Strong Market Demand: The launch of the Vera CPU addresses the growing need for high-performance, energy-efficient computing, which is anticipated to drive NVIDIA's further expansion in the AI infrastructure market, particularly in finance and cloud computing sectors.
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See More
