Our ETFs focused on AI, robotics, and global technology provide targeted access to companies leading advancements in artificial intelligence, humanoid robotics, electric vehicles, and more across the US, China, Asia, and worldwide markets.
Top Performing KraneShares AI ETFs YTD
Data as of Oct/20/2026
| Ticker | Name | NAV | Net Assets | Fact Sheet | Pitchbook |
*Fee waivers are contractual and in effect until August 1, 2028
What are AI ETFs?
Artificial intelligence ETFs offer investors a way to gain exposure to the growth companies developing, enabling, and deploying artificial intelligence by holding a basket of AI-related securities and private companies. Unlike broad technology ETFs, AI ETFs are often built around themes within the AI landscape such as generative AI, physical AI and robotics, or AI infrastructure, allowing investors to target specific segments of the AI value chain. KraneShares is a pioneer in AI ETF investing, having launched the first U.S.-listed humanoid robotics ETF1 and offering unique access to private companies alongside traditional public assets in many of our AI ETFs, including our flagship AI ETF, AGIX. To learn more about public-private hybrid ETFs, please see our guide to public-private ETFs here.
Why Consider Investing in AI ETFs?
We believe artificial intelligence and its related industries represent one of the most significant technology transitions and investment opportunities in recent history. Enterprises around the world are racing to integrate AI into their operations, and the infrastructure required to support AI like semiconductors, data centers, and optical networking are being built at a record pace. This presents a compelling long-term growth story for US large language model providers such as Anthropic and OpenAI and tech giants like Microsoft and Nvidia, but the entire AI opportunity is a global one. Alibaba, Baidu, and Tencent each operate a top 10 global AI application2, positioning the Chinese firms in our China AI ETF, KWEB, for potential growth. Moreover, the world's AI buildout is creating demand for high-bandwidth memory (HBM), processors, packaging, and optical networking that are predominantly built in Asia and are captured in our Asia AI Technology ETF, KAIT, and our Photonic and Optical ETF, LUMA. New bottlenecks and potential investment opportunities continue to appear throughout the industry, and we believe that global exposure to AI ETFs provides investors with the full investment opportunity.
Different Types of AI ETFs
KraneShares AI ETFs provide exposure to the entire AI value chain, centered around several investment themes:
- AI & Emerging Technology: These funds provide broad exposure to AI applications, AI infrastructure, and private AI companies not yet listed on public exchanges. Our public-private AI ETF, AGIX, is an actively managed strategy that holds private exposure to Anthropic as well as other private companies like Ayar Labs and Polymarket3 and is supported by AI-native engineers and investors. Our emerging markets technology ETF, KEMQ, applies the same public-private structure to internet and technology companies across emerging markets.
- Physical AI & Robotics: Physical AI ETFs invest in companies building AI-powered machines that operate in the real world. Our humanoid robotics ETF, KOID, was the first US-listed ETF focused on humanoid robotics and provides broad exposure across the physical AI ecosystem, from the computing technology forming the robot's brain to the actuation and sensing systems forming its body. Our actuator ETF, TORK, offers more targeted exposure to the motion systems that turn AI commands into physical movement. Our electric vehicles ETF, KARS, covers AI-driven autonomous driving and the broader electric vehicle ecosystem.
- AI Infrastructure: Our photonic ETF, LUMA, is focused on the optical interconnects, transceivers, and light-based infrastructure enabling AI data centers to operate at scale. As AI computing has expanded, the ability to move data between chips quickly has emerged as one of the industry's critical bottlenecks. LUMA is designed to provide exposure to the companies building the AI infrastructure solution.
- China & Asia AI: Asia sits at the center of the global AI computing buildout, supplying the semiconductors, memory, manufacturing equipment, and optical components that make AI computing possible. Our Asia AI ETF, KAIT, covers the full AI supply chain across Taiwan, South Korea, Japan, and China. Our China semiconductor ETF, KSTR, tracks China's technology-focused companies concentrated in semiconductor and semiconductor equipment. Our China internet ETF, KWEB, and our Hang Seng TECH ETF, KTEC, provide exposure to China's leading internet and technology platforms participating in the global AI buildout.
Frequently Asked Questions About AI ETFs
Are AI ETFs US-listed?
Yes, our AI ETFs are US-listed, trading on major exchanges including the NYSE and NASDAQ. This gives investors daily liquidity, US dollar pricing, and the ability to trade through a standard brokerage account while gaining targeted exposure to one of the most important technology themes of our time.
What is a public-private hybrid AI ETF?
A public-private hybrid AI ETF holds both publicly traded stocks and allocations to private companies. AGIX, our Public-Private AI & Technology ETF, is designed to give everyday investors access to public equities alongside late-stage private AI companies that can be difficult to access for some investors. This structure provides daily liquidity while capturing potential growth from companies that have chosen to stay private longer.
Is there an Anthropic ETF?
Anthropic is still a private company, but our public-private AI ETF, AGIX, offers Anthropic exposure, and the structure of that exposure matters. Most ETFs gain access to private companies like Anthropic through special purpose vehicles (SPVs), pooled intermediary structures that sit between the fund and the underlying equity. AGIX holds Anthropic differently: directly on its cap table, as a named equity holder, the same position a venture capital firm would hold. AGIX provides exposure to Anthropic through a direct equity position rather than through an SPV.
Where can AI ETFs fit in an investment portfolio?
Every investor's profile is unique, and how an investor chooses to allocate to AI ETFs should depend on factors including risk tolerance, existing exposures, and long-term objectives. Please consult a financial advisor or tax professional for advice relevant to your particular situation.
That said, AI ETFs can serve different roles in a portfolio. Broad AI ETFs like our AI and technology ETF, AGIX, may function as a thematic growth allocation. Physical AI ETFs like our humanoid robotics ETF, KOID, and our actuator ETF, TORK, may provide exposure to an emerging technology segment underrepresented in standard indexes. Regional AI ETFs like our Asia AI ETF, KAIT, may complement domestic US AI exposure with the AI ecosystems of Asia and emerging markets.
What is the difference between a digital AI ETF and a physical AI ETF?
Digital AI ETFs primarily invest in companies building AI models, applications, and cloud infrastructure — the intelligence layer. Physical AI ETFs invest in companies building machines that can act in the real world: robots, autonomous systems, and the hardware that powers them. Our physical AI ETF, KOID, focuses on humanoid robotics, providing exposure to companies across the full humanoid ecosystem — the "brain" (semiconductors and technology), the "body" (actuation, sensing, and critical materials), and humanoid integrators and manufacturers.
What are actuators and why do they matter for AI investing?
Actuators are the mechanical components that convert AI commands into physical movement in a robot, the muscles and joints. Actuation and mechanical components represent an estimated 55% of humanoid hardware costs, making actuator suppliers a critical layer of the robotics value chain4. A single robot like Tesla's Optimus uses upwards of 30 actuators per unit5. Our actuator ETF, TORK, provides targeted exposure to the global companies building this foundational hardware, spanning China, Japan, South Korea, and Taiwan.
What is photonics and why is it important for AI?
Photonics refers to technologies that use light to transmit data. As AI models grow in scale, the networks supporting them face bandwidth demands that traditional copper wiring struggles to meet — computing power as measured by floating-point operations per second (FLOPs) has grown roughly 60,000x over the past two decades, while interconnect bandwidth has grown only about 30x6. Photonic and optical solutions including optical interconnects, transceivers, and fiber-optic cables move data at the speed of light, making them a critical infrastructure layer for AI. Our photonic ETF, LUMA, provides exposure to companies building this AI networking infrastructure, with the total addressable market for AI networking expected to exceed $150 billion by 2028.7
How does Asia fit into AI investing?
Asia is a foundational layer of the global AI supply chain. From high-bandwidth memory in South Korea, to advanced semiconductors in Taiwan, to hardware components in China and Japan, Asian companies supply the physical building blocks of AI systems worldwide. Our Asia AI infrastructure ETF, KAIT, provides exposure to Asian companies across these hardware layers — an infrastructure-focused approach that provides exposure to companies participating across multiple layers of the AI supply chain.
What are the risks associated with AI ETFs?
Investing always involves risk, including potential loss of principal. AI ETFs carry specific risks investors should understand before investing. Artificial intelligence is a rapidly evolving sector, and AI companies may experience significant volatility as the technology, competitive landscape, and regulatory environment develop. Funds with international exposure carry additional risks related to foreign markets, currency fluctuations, and differing regulatory regimes. Funds with private company holdings carry risks specific to private valuations, which are inherently subjective and may differ materially from realized outcomes.
The Chinese economy is an emerging market, vulnerable to domestic and regional economic and political changes, often showing more volatility than developed markets. Companies face risks from potential government interventions, and the export-driven economy is sensitive to downturns in key trading partners, impacting KSTR, KEMQ, KAIT, TORK, KARS, KTEC and KWEB. U.S.-China tensions raise concerns over tariffs and trade restrictions, which could harm China’s exports and the Funds. China’s regulatory standards are less stringent than in the U.S., resulting in limited information about issuers. Tax laws are unclear and subject to change, potentially impacting the Funds and leading to unexpected liabilities for foreign investors. Fluctuations in currency of foreign countries may have an adverse effect to domestic currency values.
Emerging markets involve heightened risk related to the same factors as well as increase volatility and lower trading volume.
Narrowly focused investments typically exhibit higher volatility.
In addition to the normal risks associated with investing, investments in smaller companies typically exhibit higher volatility.
KWEB, KTEC, KARS, TORK, KAIT, LUMA, KOID, KSTR and AGIX are non-diversified.
A-Shares are issued by companies in mainland China and traded on local exchanges. They are available to domestic and certain foreign investors, including QFIs and those participating in Stock Connect Programs like Shanghai-Hong Kong and Shenzhen-Hong Kong. Foreign investments in A-Shares face various regulations and restrictions, including limits on asset repatriation. A-Shares may experience frequent trading halts and illiquidity, which can lead to volatility in the share price of KARS, KEMQ, KOID, KWEB, and KAIT, and increased trading halt risks.
The Funds are subject to liquidity risk, meaning that certain investments may become difficult to purchase or sell at a reasonable time and price. If a transaction for these securities is large, it may not be possible to initiate which may cause the Funds to suffer losses.
Please read the relevant fund prospectus carefully before investing, which is available through the ticker links in the performance table. These links also provide access to each fund's top 10 holdings.
Citations:
1. Data from Bloomberg as of 5/27/2025.
2. Statista, "Most popular artificial intelligence (AI) applications worldwide as of January 2026, by monthly active users", January 2026.
3. Data from KraneShares as of 10/16/2026. Holdings are subject to change.
4. Data from TrendForce, "Humanoid Robots to Become the Next US-China Battleground," as of 2/24/2025.
5. Data from Morgan Stanley Research, "The Humanoid 100," as of 2/6/2025.
6. University of California, "AI and Memory Wall," retrieved 8/24/2026.
7. “Optical Networking The next mega trend in AI infrastructure,” Goldman Sachs, April 17, 2026
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