$0.18 vs. around $4 per million tokens... That’s the price gap between some China-based LLMs and leading U.S. models. For coding assistants, customer service, enterprise search and internal automation, the most expensive model may not be necessary for every workload. It raises a simple question: do businesses need a Ferrari for every trip to the grocery store? China’s LLM providers are offering open-weight models that can be customized, fine-tuned internally and run on a company’s own infrastructure.

We caught @ahern_brendan before he headed to @CNBC to get a quick preview of what he’ll be discussing ahead of this week’s Trump-Xi meeting.   Here’s what’s on our CIO’s radar 👇

China's AI models may be becoming the new global stars. Certain US and global technology firms have reported using lower-cost, China-developed large language models (LLMs) for certain applications. We believe this development could significantly benefit China's internet sector by providing AI leaders, including $KWEB holdings $BABA, @Zai_org, @TencentGlobal, and @MiniMax_AI, with a stable and diversified revenue stream. KWEB has also expanded its index methodology to include LLM providers, data center operators, and enterprise cloud firms. We believe these additions reflect the evolution of web-based businesses globally in recent years and mean that KWEB may fully represent AI-enabled internet development in China. Our Summer 2026 China Internet Quarterly Earnings Report breaks down what this means for investors, plus a full subsector analysis and earnings update across KWEB's top 10 holdings. Read the full report: KWEB Top 10 Holdings:

The humanoid robots at the 2026 World Robot Conference in Beijing may be the most eye-catching part of the story. But behind them is a much larger ecosystem, connecting components, manufacturers, applications, and infrastructure across logistics, retail, and disaster response. China isn't just building robots. It's building the infrastructure to make them work.

$31.6 TRILLION. That’s how much Oxford Economics thinks the world could spend on AI datacenters through 2050. If AI adoption accelerates? $50 TRILLION. In comparison, the entire US Interstate Highway System cost about $704B in today’s dollars. That means the AI infrastructure bill could be 45–71x larger. But here’s the real question: What companies will power this massive AI infrastructure buildout? Explore the companies we believe are driving the AI infrastructure boom with $KAIT See KAIT’s top 10 holdings and learn more about the fund here:

In 2016, AlphaGo made a move no human understood. Move 37 looked like a mistake. It wasn’t. Now, we may be seeing Move 37 happen again, this time in the physical world. Joe and Cole sat down to break down what really happened with the Tiangong Omni robot at the Beijing Humanoid Robot Games, where its unconventional running technique broke all records in the 400m. Was it a mistake? Or did the robot figure out something we hadn’t?

AI spending reached $765 BILLION in 2026. But where is all that money going? 👀 As GPUs, servers and datacenters scale, one part of the AI infrastructure is becoming increasingly critical: connectivity and networking. The market is estimated to grow from $15B in 2026 to $156B by 2028. That’s more than 10x growth in just two years. $LUMA gives investors exposure to this critical layer of the AI infrastructure buildout ⚡ See LUMA's top 10 holdings and learn more about the fund here:

Breaking news🚨 One of the biggest names in humanoid robotics goes public tomorrow 🚀 @UnitreeRobotics is set to list on the STAR Market on August 19. KraneShares @ahern_brendan shares his thoughts on what this could mean for the future of humanoid robotics 👏

Breaking news: CXMT has been added to KSTR 🚀 Following ChangXin Memory Technology's (CMXT) landmark STAR Market IPO, KSTR now holds shares of China's leading DRAM manufacturer as part of the portfolio, providing investors with direct exposure through the ETF. Read the full press release here: All holdings are subject to change. Data as of: 08/04/26. Learn more about KSTR and view the fund's top 10 holdings:

In a recent @barronsonline article, @luoshanji covered China's two memory chip giants going public, ChangXin Memory Technologies (CXMT) and Yangtze Memory Technologies (YMTC), at a moment when AI-driven demand has created a global memory shortage and sent prices soaring. The piece highlighted the KraneShares China Technology & Semiconductor STAR Market 50 Index ETF (Ticker: $KSTR) for investors looking to access CXMT, noting that its size makes it a plausible future constituent of the STAR Market 50 index that KSTR tracks, with CXMT's first-quarter revenue surging 719% year over year and its IPO set to value the company at roughly $85 billion when it begins trading July 27. Read: For KSTR standard performance, top ten holdings, and other fund information:

The KraneShares China Technology & Semiconductor STAR Market 50 Index UCITS ETF (Ticker: $KSTR) was recently featured in an article by @MorningstarInc for being one of the best-performing ETFs for UK Investors in Q2 of this year. China's innovation-focused STAR Market has emerged as one of the world's strongest-performing technology markets in 2026, with KSTR returning +72.03% year-to-date and +132.21% over the past year (as of 30 June, 2026), reflecting growing investor interest in the companies powering China's AI hardware ecosystem. Read: #MarketingCommunication#

Why explain the future of robotics… when a humanoid robot can do it for you? At our @NasdaqExchange event, @intbotai broke down how KOID gives investors exposure to the humanoid robotics revolution and what that future looks like in real time.

Trump has landed in China for high stakes talks with President Xi 🇨🇳 But the biggest question is what deal is being negotiated behind closed doors and what Nvidia CEO Jensen Huang’s last minute addition to Trump’s group signals about what’s really at stake.