Pictet AI US ETF PQUS Nears $100M in Under Three Months
Pictet’s PQUS ETF has gathered about $88 million and is approaching $100 million less than three months after its Feb. 25, 2026 launch.
Pictet Asset Management’s Pictet AI Enhanced US Equity ETF (PQUS) has accumulated about $88 million in assets and is approaching $100 million less than three months after its Feb. 25, 2026 launch. The fund is offered in the U.S. market and is managed from Geneva.
PQUS charges an expense ratio of 0.22% (22 basis points). The fund uses a machine-learning model that Pictet describes as “Quant 2.0.” The model analyzes more than 250 data features, including company fundamentals, sentiment indicators, price activity and short interest. A proprietary optimizer combines the model’s forecasts with risk constraints to generate buy and sell recommendations. Portfolio managers review and approve recommendations before trades are executed.
The ETF holds roughly 165 securities and targets a maximum tracking error of up to 2% versus its benchmark. Pictet says the team managing PQUS has about 25 years of institutional quantitative investing experience and previously ran similar machine-learning strategies in the firm’s European funds.
Pictet entered the U.S. ETF market last year with three funds and markets PQUS as an AI-enhanced core equity product. The fund’s structure is described as a diversified core equity sleeve rather than a concentrated thematic portfolio.
For comparison, the WisdomTree U.S. AI Enhanced Value Fund (AIVL), incepted in 2006, uses a machine-learning model developed by a third-party manager to screen for value-tilted large-cap names. AIVL typically holds about 100 positions and carries a 0.38% expense ratio, compared with PQUS’s 0.22% fee and roughly 165 holdings.
PQUS’s early asset growth occurred in the context of multiple active ETFs using machine learning for stock selection. The fund’s prospectus and marketing materials detail its model inputs, optimizer and review process by portfolio managers.
