Final day at @Ai4Conferences with @teslaownersSV : from @Waymo’s journey in autonomous driving, safety and world models to enterprise AI, agent connectivity and ROI, the focus was clear—turning AI innovation into real-world impact. #ChinaAMC# #CNQQ# #AI4# #PhysicalAI# #AgenticAI# #EnterpriseAI# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

Day 2 at @Ai4Conferences with @teslaownersSV explored how AI is moving from pilots to real-world value—from agentic commerce and trusted transactions to real-time data and enterprise adoption, with insights from @PayPal and @SAP. #ChinaAMC# #CNQQ# #AI4# #AgenticAI# #EnterpriseAI# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

AI is transforming productivity—but productivity is only part of the equation. Speaking at AI4 2026, @drfeifei highlighted a critical distinction: while AI tools can make people and businesses more productive, those gains do not automatically translate into shared prosperity. As AI continues to reshape jobs—creating new opportunities while changing or disrupting others—she argued that the conversation needs to go beyond how much more we can produce. It also needs to consider how the economic benefits of AI can be shared more broadly. Productivity ≠ Shared Prosperity. #ChinaAMC# #CNQQ# #AI4# #AI# #ArtificialIntelligence# #FeiFeiLi# #FutureOfAI# #FutureOfWork# #AIProductivity# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

“Bring science, not science fiction, back to the AI debate.” At AI4 2026, @drfeifei pushed back against increasingly extreme narratives around artificial intelligence. As AI evolves rapidly, she argued that fear-mongering and unscientific rhetoric can make it harder for policymakers and the public to understand what the technology actually means. Instead, the AI conversation should be grounded in science, education, and healthy communication. For students, teachers, nurses, parents, and workers thinking about how AI could affect their jobs and their children's futures, understanding the technology matters. Her message is simple: AI is a rapidly evolving tool—and society needs a more rational conversation about how to use it. #ChinaAMC# #CNQQ# #AI4# #AI# #ArtificialIntelligence# #FeiFeiLi# #FutureOfAI# #AIInnovation# #AITools# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

AI is powerful—but access to AI alone won't eliminate the skills gap. At AI4 2026, @AndrewYNg Ng argued that even as AI capabilities advance, there will continue to be meaningful differences between people who know how to use these tools effectively and those who don't. Rather than framing AI primarily as a threat, he offered a more optimistic message—especially for young people: learn the tools, build the skills, and use AI to expand what you can accomplish. The opportunity isn't simply AI replacing human capability. It's what people can achieve when they learn to work with AI. AI Won't Eliminate the Skills Gap. #ChinaAMC# #CNQQ# #AI4# #AI# #ArtificialIntelligence# #AndrewNg# #AISkills# #FutureOfWork# #FutureOfAI# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

Day 2 at @Ai4Conferences w/ @ChinaAMC_HQ @rayliant 2026 is in the books. The focus shifted from pure infrastructure to the real challenge: making AI actually work inside companies. The big theme of the day was AI at Work — From Individual Productivity to Enterprise Transformation. It’s no longer about cool demos. It’s about scaling AI from pilots into everyday workflows that deliver real ROI.We sat down with Bob Sakalas from @SAP, Bo English-Wiczling from @PayPal, and Ariel Shulman from Bright Data. They all pointed to the same shift — the companies that win will be the ones that successfully move AI from individual tools and experiments into core business processes that people rely on every day. AI only creates lasting value when it stops being a side project and starts becoming part of everyday work. More from the physical AI side tomorrow. #ChinaAMC# #CNQQ#

Day 1 at @Ai4Conferences showed that bigger models are only part of the AI story. From chips and compute to enterprise agents, governance, security and ROI, we heard from @googlecloud, @dataiku and @okta on what it takes to move AI into the real world froom @teslaownersSV #ChinaAMC# #CNQQ# #AI4# #AI# #ArtificialIntelligence# #AgenticAI# #EnterpriseAI# #FutureOfAI# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

Day 1 Recap video of @Ai4Conferences w/ @ChinaAMC_HQ Bigger models alone are no longer enough. The real race is now about building the foundation for the agentic AI economy — infrastructure, compute, cloud, security, and data platforms that can actually scale. From the keynotes on chips, constraints, and the next generation of compute, to conversations on the floor, one theme kept repeating: AI cannot scale without the right infrastructure.We sat down with Carlos Huisa from Dataiku, Jason Davenport from Google Cloud, and Matt Carter from Okta. They all pointed to the same shift — moving from experimental AI to production-ready agentic systems that can operate reliably inside the enterprise. Platforms, identity, governance, and cloud infrastructure are becoming just as critical as the models themselves. Here at AI4, we’re seeing how AI is reshaping industries — and CNQQ ETF offers investors access to China’s broader innovation ecosystem, spanning AI, semiconductors, advanced manufacturing, and digital platforms. The agentic future is no longer coming. It’s already being built. #ChinaAMC# #CNQQ#

Day 3 at AI4 2026 — the final day — and the energy shifted completely. @Ai4Conferences w/ @ChinaAMC_HQ @rayliant @sjvtesla The theme was AI Beyond Work: How AI Is Entering Everyday Life. After two days focused on infrastructure and enterprise transformation, the conversation moved from software into the physical world — robotics, autonomous systems, intelligent machines, and real-world applications that are starting to leave the lab. We spent the day on the floor with Jessica Vose from Kana AI ( Daniel Garcia from Merge ( and Steve Ancheta from ( digging into how Agentic AI is shaping the future. The big takeaway from the final day was clear: the next chapter of AI isn’t just smarter software. It’s AI that can see, move, decide, and act in the real world. The agentic future isn’t only digital anymore. It’s becoming physical. That’s a wrap from AI4 2026. #ChinaAMC# #CNQQ#