Magnifying Exposure: Emerging Markets AI & Internet Update With a Deep Dive On The KraneShares Single Stock Suite
Thursday, December 4, 2025 11:00 am - 12:00 pm EST
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Event Details:
Magnifying Exposure: Emerging Markets AI & Internet Update With a Deep Dive On The KraneShares Single Stock Suite Thursday, December 4, 2025 11:00 am - 12:00 pm EST
We believe emerging-market artificial intelligence (AI) and internet giants are entering a new acceleration phase, which is creating potential entry points for the KraneShares single-stock levered ETF suite. Alibaba continues to make technological advances with its Qwen large language model, which recently earned international praise from AirBnB’s co-founder Brian Chesky, who highlighted its speed and cost efficiency versus other frontier models.1 Baidu continues to scale both Ernie Bot, its large language model, and Apollo, one of the world’s largest autonomous ride-hailing networks.2 Meanwhile, JD.com, PDD, and Mercado Libre are reinforcing their leadership positions through resilient e-commerce ecosystems3, advanced logistics, and strong user-growth momentum4.
KraneShares, known for flagship strategies such as the KraneShares CSI China Internet ETF (Ticker: KWEB), the largest and one of the most widely followed US-listed China ETFs globally5, and the KraneShares Emerging Markets Consumer Technology ETF (Ticker: KEMQ), which targets high-growth EM internet and e-commerce companies, has expanded into single-stock levered ETFs to offer investors tactical, bullish exposure for short-term tactical trades. This session is ideal for investors seeking a sector update and tools to express high-conviction views through magnified exposure.
In this webinar, we will cover:
- Key AI breakthroughs from Alibaba’s Qwen model and Baidu’s Ernie Bot
- The rise of Baidu Apollo and the global race in autonomous ride-hailing
- E-Commerce and platform resiliency trends across JD.com, PDD, and Mercado Libre
- How KraneShares single-stock levered ETFs provide targeted access to emerging-market innovators like Alibaba (KBAB), PDD (KPDD), JD.com (KJD), Mercado Libre (KMLI), and Baidu (KBDU)
- Tactical use cases and market-regime considerations for magnified exposure
- Comprehensive Q&A
Click the following links for standard performance, top 10 holdings, risks, and other fund information: KBAB, KPDD, KMLI, KJD, KBDU, KWEB, KEMQ.
Important Notice:
Investors should be aware that they can lose their entire investment. Single-stock ETFs, unlike traditional ETFs that diversify across a range of stocks, focus solely on the performance of a single stock, significantly increasing investment risk. KraneShares ETFs aim for daily investment results that match 2x the daily performance of the underlying stock. Investors should be aware that returns may diverge from the stock’s actual performance if held for more than a day. Due to their leveraged nature, these funds require close monitoring, as they can magnify both potential gains and losses. A flat performance of the underlying stock may lead to a loss, and in certain scenarios, these funds can incur losses even when the stock price fluctuates positively or negatively over several days. Therefore, they are not suitable for every investor and are specifically intended for knowledgeable individuals who grasp the mechanics of leveraged investing and are willing to actively manage risks. Understanding volatility is essential, as minor stock movements and increased volatility can result in returns that significantly deviate from the expected target.
Citations:
- Jiang, Ben. “Airbnb Picks Alibaba’s Qwen over ChatGPT in a Win for Chinese Open-Source AI”, South China Morning Post, 10/22/2025.
- “Apollo Go: Delivering a Smarter, User‑Friendly Autonomous Ride‑Hailing Experience”, Globe Newswire, 3/19/2025.
- “MELI vs. PDD: Which E-Commerce Stock Has More Upside Potential?”, Yahoo Finance, 7/2/2025.
- Data from JD.com, PDD, & Mercado Libre’s Q3 2025 Earnings Reports & Investor Call Transcripts.
- Data from Bloomberg as of 11/18/25.
Term Definition:
Advanced Logistics – refers to the use of technology and optimization to create more efficient, responsive, and cost-effective supply chains.
By Anthony Sassine, CFA, Robin Zheng, and Henry Greene
By Anthony Sassine, CFA, Robin Zheng, and Henry Greene
