E Fund (HK) FTSE AI Select Index ETF (03489.HK) Rises 1.04% Intraday as Google Opens Gemini 4 Argon Globally

NewTimeSpace News: As of 10:09 on October 14, the E Fund (HK) FTSE AI Select Index ETF (03489.HK) rose 1.04% to a latest price of HK$12.600. The ETF has traded 24,600 shares so far today for a turnover of HK$308,971 at an average price of HK$12.560, with a turnover rate of 0.04%. It is down 2.40% so far this week. Its current net asset value per unit is HK$12.72, and its assets under management stand at HK$724 million.

(Note on scope: the net asset value per unit and assets under management are as of October 12, 2026; the week-to-date change is measured against the closing price of HK$12.910 on October 9.)

On the news front, Google announced on October 13 that it was opening its flagship large model Gemini 4 Argon to users worldwide. The model focuses on complex coding, enterprise workflows and cybersecurity tasks, with its maximum output limit raised to 1 million tokens; Google also published promotional API pricing of US$2 per million input tokens and US$10 per million output tokens through November 30, roughly one-fifth of the comparable prices charged by major rivals. The index tracked by the ETF covers 50 AI-related securities listed in Hong Kong and the United States.

E Fund (HK) FTSE AI Select Index ETF (03489.HK) closely tracks the FTSE Custom Global AI Select Index (net total return). The index covers 50 AI-related securities listed in Hong Kong and the United States, with weightings of 65% and 35% for Hong Kong-listed and US-listed securities respectively, spanning AI computing power, large language models and companies transforming their businesses through AI. The fund mainly adopts a full replication or representative sampling strategy.

Guolian Minsheng Securities believes the AI application narrative is spreading from programming to four directions — research and development, enterprise services, scientific computing and personal assistants — with computing consumption shifting from project-based spending on the training side to continuous consumption on the inference side; citing Gartner, it notes the firm has raised its 2026 global AI spending forecast several times this year, from US$2.52 trillion in January to US$2.7 trillion in September, with forecasts and industry progress validating each other.