Mirae Asset Global Investments recently announced that its TIGER Global On-Device AI Exchange-Traded Fund (ETF) saw its assets under management exceed 80 billion won. The triumph came only two months post its debut on the stock exchange, evidencing a swift accumulation of interest and investment.
The ETF has captured the attention of individual investors, garnering a notable 27 billion won, which positions it as the leading investment vehicle among domestic AI and semiconductor stock ETFs. On-device AI technology, which enables AI processing directly on the device itself without the need to send data to external servers, contributes to efficient operation void of network delays and excessive power consumption. This cutting-edge technology is being rapidly adopted across various sectors due to its advancements in bringing AI personal assistant capabilities closer to reality.
TIGER Global On-Device AI ETF is a pioneer investment fund targeting companies integral to on-device AI technology, such as those involved in the development of Neural Processing Units (NPUs), with key players like ARM, Qualcomm, and Apple leading this field. As major tech corporations like Samsung with its Galaxy S24 and Apple shift focus towards on-device AI, the interest in the ETF is expected to surge as well.
Mirae Asset’s ETF Division manager emphasized the increasing relevance of on-device AI in accommodating the rising demands for computation and energy efficiency as AI becomes more integrated into everyday life. He predicts that products equipped with on-device AI will play a crucial role in this transition, fostering a bright outlook for the growth of TIGER Global On-Device AI ETF.
Important Questions and Answers:
1. Why has the TIGER Global On-Device AI ETF experienced rapid growth in assets under management?
The swift accumulation of interest and investment can be attributed to the increasing relevance of on-device AI technology in a variety of sectors, efficient operation capabilities, avoidance of network delays, reduced power consumption, and the positioning of key industry players in the fund.
2. What makes on-device AI technology so appealing to investors and tech companies?
On-device AI technology is appealing due to its ability to process data directly on the device, leading to faster response times, improved privacy since data doesn’t need to be sent to external servers, and enhanced energy efficiency.
Key Challenges and Controversies:
One challenge associated with on-device AI technology is the hardware constraint. AI processing requires significant computational power, and integrating this capability into mobile devices without compromising performance or battery life is a complex engineering feat. Another issue is the pace of AI development; staying current with rapid advancements can be both challenging and costly.
Controversies may arise from the data privacy and security front because as devices become more autonomous, the potential for misuse of personal data ensues, despite data being processed on the device.
Advantages and Disadvantages:
Advantages:
– Increased data privacy and security, as less personal data is transmitted to the cloud.
– Reduction in network latency, leading to faster processing and responses on devices.
– Lower power consumption since data is processed locally, making it a greener alternative.
Disadvantages:
– Higher initial costs for manufacturing devices with sufficient on-device AI processing capabilities.
– Ongoing need for updates and maintenance of the AI algorithms to ensure optimal performance.
– Risks stemming from AI decision-making processes without human oversight.
To further explore the topic of AI and investments in AI-focused ETFs, you may visit the domains of major financial and technology news sources for the most current information. Here are some valid links (please note, URLs to specific ETF listings or companies are not provided to comply with the given instructions):
– Bloomberg
– Reuters
– CNBC
– The Wall Street Journal
These websites provide information and news on the latest trends and developments in the financial and technology sectors, which can provide you with greater insight into the world of AI-focused ETFs and investments.
The source of the article is from the blog windowsvistamagazine.es