What if your newsletters could talk to each other? "Hey — 3 different sources mentioned this company today. Might be worth your attention." That's the intelligence built into Momentum AI. We're live. Join the waitlist. #AI# #Productivity# #FutureOfWork# #MomentumAI#

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.

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.

Welcome to Qwen Live – Episode 1: Agent-First, When Your Next User Isn't Human. 📅 June 30, 2026 | 10:00 AM (UTC+8) 🔔Set Reminder Now: As AI evolves at lightning speed, your next user might not be human—it could be an AI agent. In this debut episode, we are joined by Linlin Kong, Head of Qwen Cloud, alongside Qwen Cloud Product Managers Pan Gu and Xijue. Together, they will explore building cloud platform for agent from scratch, redefine developer experiences for non-human users, and uncover the new paradigms of large-scale human-agent collaboration. Ready to build for agents? Get started with Qwen Cloud Platform: #Qwen# #QwenLive# #AIagents# #AICloud# #DeveloperExperience# #FutureOfWork#

TL;DR AI use is shifting from "chat Q&A" to "delegating whole tasks." OpenAI's usage data shows the unit of knowledge work moving from single interactions to long-horizon tasks. 📊 Title: How agents are transforming work URL: Highlights 🧑‍💼 The unit of knowledge work shifts from "interactions" to "delegated, long-horizon tasks" ⏱️ In May 2026, 80.6% of individuals made a Codex request >30 min of human work, 70.2% >1 hour, 25.6% >8 hours 🔀 By June, 99th-percentile users generated 60+ hours of agent turns per day across parallel agents 📈 Non-developer users exploded vs Aug 2025: 137x individuals, 189x organizations 👥 Codex now has 5M+ weekly active users (6x+ since the February desktop launch) 🚀 Fastest-growing tasks: data analysis +110%, research +37%, knowledge artifacts +36% (week over week) 🏢 Even non-technical departments like Legal and Recruiting use Codex as their primary AI tool The move to redesign work around "humans plus many parallel agents" is now visible in the numbers. #AIAgents# #FutureOfWork#

AI Practical Use #3#: Let AI help you with Excel data analysis. AI 实用玩法第 3 个： 让 AI 帮你做 Excel 数据分析。 Here is a very common office situation: You have an Excel file with sales data, costs, profit, regions, products, and dates. Normally, you may spend 2 hours writing formulas, checking data, making summaries, and building charts. But with AI, you can finish the first draft in about 10 minutes. 一个很常见的办公场景： 你手里有一份 Excel 数据， 里面有销售额、成本、利润、区域、产品、日期。 以前你可能要花 2 小时： 写公式、查数据、做汇总、看趋势、做图表。 现在可以先交给 AI， 10 分钟生成初步分析结果。 You don’t need to manually type every complex formula. Let AI help you: Build formulas Summarize key findings Find abnormal data Compare trends Suggest chart formats Create a report structure 你不需要自己一个个输入复杂函数。 可以让 AI 帮你： 生成公式 总结关键结论 找出异常数据 对比趋势变化 建议图表形式 生成汇报框架 Here is a simple prompt: 这里有一个简单提示词： Please analyze this Excel data. Help me build the right formulas, summarize the key findings, find possible errors or abnormal values, and suggest the best chart or report format. I will review and verify the final results. 中文版本： 请分析这份 Excel 数据。 帮我生成合适的公式，总结关键结论，找出可能的错误或异常值，并建议最适合的图表或汇报格式。 最终结果由我来审核确认。 The key idea is simple: AI does the heavy first draft. You review the logic and final result. 核心思路很简单： AI 负责先把复杂工作做出来， 你负责审核逻辑和最终结果。 Before: 2 hours manually writing formulas. After: 10 minutes with AI assistance. 以前： 手动写公式、做分析，可能要 2 小时。 现在： 借助 AI，10 分钟先完成初稿。 AI is not here to replace your judgment. It helps you save time on repetitive work, so you can focus on checking, thinking, and making better decisions. AI 不是替代你的判断力。 它是帮你节省重复劳动的时间， 让你把精力放在审核、思考和决策上。 Let AI write the formulas. You review the results. 让 AI 写公式， 你负责审核结果。 That is a smarter way to work. 这才是更聪明的办公方式。 #ChatGPT# #AI# #AITools# #Excel# #ExcelTips# #DataAnalysis# #Productivity# #WorkSmarter# #OfficeWork# #BusinessTools# #Automation# #DigitalTools# #TechTips# #FutureOfWork# #PromptEngineering#