KraneShares Photonic and Optical ETF (LUMA) Now Accessible in Japan Through Licensed Securities Firms

LUMA joins AGIX and KOID under KraneShares' Japan foreign investment trust notification filings, enabling access through eligible licensed securities firms.

NEW YORK, Sept. 01, 2026 (GLOBE NEWSWIRE) -- KraneShares, a leading provider of exchange-traded funds (ETFs) delivering access to emerging technology strategies, today announced the completion of a foreign investment trust notification filing in Japan for the KraneShares Photonic and Optical ETF (Ticker: LUMA), enabling Japanese investors to access the fund through eligible Type I financial instruments business operators.

LUMA joins two other KraneShares emerging technology ETFs already covered by the Japan foreign investment trust notification filings: the KraneShares Public-Private AI & Technology ETF (Ticker: AGIX) and the KraneShares Global Humanoid Robotics and Physical AI Index ETF (Ticker: KOID).

Together, the three ETFs provide Japanese investors with differentiated exposure to key areas of the global artificial intelligence ecosystem: AI technology and applications, the infrastructure connecting increasingly powerful computing systems, and humanoid robots bringing AI into the physical world.

“Japan is one of the world’s most sophisticated investment markets and has long been a global leader in robotics, semiconductors, optics, and advanced manufacturing,” said Jonathan Krane, Chief Executive Officer of KraneShares. “We are pleased to complete the Japan foreign investment trust notification for LUMA and further expand the range of KraneShares emerging technology strategies available to investors in Japan. We believe photonics will become increasingly critical as the AI industry confronts one of its next major challenges: moving enormous amounts of data quickly and efficiently between increasingly powerful computing systems.”

LUMA: Investing in the Infrastructure Moving AI at the Speed of Light

The KraneShares Photonic and Optical ETF (Ticker: LUMA) provides exposure to public and private companies worldwide developing optical interconnects, transceivers, fiber-optic cables, and other light-based infrastructure designed to move vast amounts of data at extremely high speeds.

As AI models grow larger and data centers connect greater numbers of advanced chips, moving data between those chips is emerging as a critical infrastructure challenge. Computing power has increased roughly 60,000 times over the past two decades, while the capacity to move data between chips and systems has increased only about 30 times.¹

This imbalance is accelerating the transition from traditional electrical connections toward optical technologies that use photons to transmit information at high speeds while potentially improving the performance, energy efficiency, and scalability of AI infrastructure. Goldman Sachs estimates the AI networking market could exceed $150 billion by 2028, approximately nine times its current size.²

“We believe the AI investment opportunity is broadening beyond GPUs,” said Derek Yan, CFA, Senior Investment Strategist at KraneShares. “As AI infrastructure scales, the ability to efficiently connect enormous clusters of computing resources is becoming increasingly important. LUMA is designed to provide targeted exposure to the companies enabling this transition from electrons to photons.”

Rather than attempting to predict which individual AI model or application will ultimately dominate, LUMA seeks exposure to an infrastructure layer that an increasingly connected AI ecosystem may require, regardless of which platforms emerge as winners.

Expanding KraneShares’ Emerging Technology Offering in Japan

LUMA joins two other KraneShares emerging technology ETFs covered by the Japan foreign investment trust notification filings:

KraneShares Public-Private AI & Technology ETF (Ticker: AGIX)

AGIX provides exposure across the broader AI ecosystem, including hardware, infrastructure, and applications, while also providing access to select private technology companies that are typically difficult for individual investors to access. The Fund’s private holdings include Anthropic, developer of the Claude family of AI models; Apptronik, a developer of AI-powered humanoid robots; Ayar Labs, a leader in optical connectivity for AI infrastructure; Nuro, a developer of autonomous driving technology; and Polymarket, a prediction market whose real-time data can serve as an input for AI applications. Holdings are subject to change.

This public-private structure is designed to provide exposure to innovative AI businesses across different stages of their development, including companies that may represent important areas of the AI economy before they become broadly accessible through public markets.

KraneShares Global Humanoid Robotics and Physical AI Index ETF (Ticker: KOID)

KOID provides global exposure to the emerging humanoid robotics and physical AI ecosystem. The Fund invests not only in companies designing and manufacturing humanoid robots, but also in the “picks and shovels” of physical AI: the semiconductors, actuators, sensors, mechanical systems, critical materials, and other components needed to build intelligent machines that can interact with the physical world. This approach provides exposure across the “brain,” “body,” and manufacturers of humanoid robots rather than relying solely on which individual robot makers ultimately emerge as winners. KOID was the first U.S.-listed ETF focused specifically on the humanoid robotics opportunity.

About KraneShares

KraneShares delivers research-driven, high-conviction strategies connecting investors to the world’s most powerful growth themes. From emerging technologies and China’s dynamic capital markets to carbon credits, alternatives, and income, the firm offers differentiated exposures designed to capture the megatrends reshaping the global economy.

For more information about LUMA, please visit KraneShares.com/LUMA.

Citations

1. Gholami, Amir et al. “AI and Memory Wall.” IEEE Micro 44 (2024): 33–39.
2. Goldman Sachs, “Optical Networking: The Next Mega Trend in AI Infrastructure,” April 17, 2026.

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