01
理解
了解工作如何变化。
Translate changes in AI, jobs and the labour market into practical guidance about tasks, roles, careers and capability requirements.
全球塑造者成都中心倡议
持续关注 在 循环.
人工智能正在改变工作。每个人都应有机会跟上变化并继续前进。
Stay in the Loop helps people understand how AI is reshaping work, diagnose the capabilities they need, build what matters, and apply it in the real world.
一个面向国际 AI 能力建设倡议的公共项目与证据页面。
持续关注in the loop学习 · 使用 · 重复
理解01
诊断02
再学习03
应用04
UnderstandDiagnose技能再培训Apply
01 / 为什么存在
The AI transition should expand opportunity — not widen the gap.
AI is changing tasks, roles and career pathways faster than traditional learning and workforce systems can adapt.
But the ability to respond is uneven. Some people have access to new tools, guidance, professional networks and learning opportunities. Many others do not.
Stay in the Loop exists to make the AI transition more navigable and more inclusive — so people can understand what is changing, build the capabilities that matter, and turn those capabilities into real opportunity.
我们的愿景
Our vision is a future where AI expands human opportunity rather than deepening the divide between those who can adapt early and those who cannot.
02 / 变化如何发生
从变化走向机会的路径。
The loop keeps capability building connected to the world people are trying to navigate.
Understand → Diagnose → Reskill → Apply → Learn → Repeat
02
诊断
了解自己的位置。
Identify strengths, gaps and development priorities across eight capabilities and six developmental AI Work Profiles.
03
再学习
建立真正重要的能力。
Develop practical AI fluency, human-AI collaboration, judgment and role-based capabilities through online and offline learning.
04
应用
将能力转化为证据。
Use challenges, projects and real-world problems to move beyond learning and demonstrate how AI can be applied to practical work.
持续关注in the loop学习 · 使用 · 重复
理解01
诊断02
再学习03
应用04
简明的变化理论
更好的信息→更清晰的能力差距→有针对性的学习→真实世界的应用→更强的职业与劳动力成果
The goal is not more AI training. It is better adaptation to an AI-shaped world of work.
03 / 进展
进展速览。
10K+People reached through the AI capability assessment
12Countries reached
200+Educators and education leaders engaged
1,000+Learners reached through participating communities
7已连接或有代表参与的 Global Shapers 社区
40+Field conversations
3Countries with active learning delivery
10K+ 指触达人数，而非完成评估人数。
04 / 循环实践
循环实践
The model connects research, diagnosis, learning and real-world application — and is already being tested across different contexts.
理解
We listen before we design.
We continuously gather perspectives from young professionals, business leaders, educators and workforce practitioners to understand how AI is changing real work before deciding what people should be assessed or trained on.
40+ 场实地对话
Cross-hub dialogue, future-of-work conversations, research and public dialogue.
Listening across roles helps us understand what people need to learn, use and repeat.
诊断
Before telling people what to learn, help them understand where they stand.
第 1 层 · 探索
AI 时代玩家测试 / AIEP
5–7 min · 8 Player Types · Exploratory · Shareable result
Quickly reflect on your current way of working with AI.
从 AI 时代玩家开始第 2 层 · 深入
AI 素养与职业成长评估
17–22 min · 8 capability dimensions · Development report
Understand capabilities, strengths, blind spots and development priorities.
参加深入评估AI 素养与职业成长评估
AI fluency isn’t one skill.
The quality of AI-supported work depends on more than knowing how to prompt. Our assessment looks at eight capabilities that shape how people frame problems, collaborate with AI, verify information, exercise judgment, take ownership, learn and create original value.
01Problem Framing & Task Selection02AI Collaboration & Orchestration03Verification & Information Literacy04Explainable Ownership & Accountability05Domain & Contextual Judgment06Learning & Capability Transfer07Synthesis & Original Contribution08Human Complementarity & Implementation
Six developmental AI Work Profiles
The assessment does not reduce people to a single score. It identifies developmental patterns that help people understand how they currently work with AI — and what to build next.
Strategic AI CollaboratorCapable but AI-Dependent UserEfficient but Fragile OperatorCreative AI SynthesizerResponsible but Underutilized UserDeveloping AI Professional
Reached 10K+ people across 12 countries.
ai-fluency-career-growth / report
ai-fluency-career-growth / report
再学习
Turn capability gaps into learning pathways.
中国上海 · 近 100 名实践者与专业人士
前沿部署工程与 AI 原生工作
以角色为基础的学习，重点是将 AI 系统与真实组织问题、工作流程和业务需求连接起来。
该项目由 OpenCSG、共青团上海市徐汇区委员会与 Global Shapers Chengdu Hub 参与合作支持。
Why it matters: 新兴 AI 角色同时需要技术素养与结合业务语境的判断力。
Read the source recap
印度与肯尼亚 · 基础 AI 素养
从可能性出发的学习。
面向接触新兴技术和数字学习机会有限的儿童与社区，开展基础 AI 素养与未来准备度学习。
200+ 名教育工作者与教育领导者参与1,000+ 名学习者通过参与社区触达China · India · Kenya 开展学习活动
Why it matters: 获得 AI 能力建设不应取决于地理位置或特权。
India learning images are supplied program documentation. Public deployment should confirm school/partner permission for identifiable minors; this page prioritizes wide, activity-focused views.
应用
Learning matters when it can be used.
An applied AI challenge environment where participants move from ideas to problem framing, solution development and presentation.
WAIC Future Tech OPC Challenge — Chengdu · ~80 participants
Global Shapers Chengdu Hub supported the challenge as a supporting organization shown on the public poster.
Why it matters: Application makes capability visible, testable and useful beyond the learning room.
Bring a challenge into the loop
05 / 跨越循环
在多个社区中共同构建，而非局限于一间教室。
Connecting perspectives across Asia, Africa, Europe and North America.
7 已连接或有代表参与的 Global Shapers 社区4 个世界区域3 个开展学习活动的国家
01Chengdu02Beijing03Chicago04Dubai05Nairobi06Lucerne07Kolhapur
The long-term goal is not to export one fixed curriculum. It is to build a model that local communities can adapt to their own workforce and learning context.
ChengduBeijingChicagoDubaiNairobiLucerneKolhapur
06 / 从实地证据到全球对话
从实地证据走向全球对话。
我们关于 AI、Z 世代与劳动力转型的工作洞察，为我们与商业领袖及国际受众围绕 AI 如何重塑早期职业工作、能力发展和未来工作展开的对话提供了依据。
Z 世代——伟大的期待AI 会改变工作的未来吗？
实地洞察，不代表背书。
Read the World Economic Forum article
07 / 工作背后的证据
我们围绕证据设计，而不是围绕固定课程。
As work changes, the capabilities people need will change too. Research, field conversations and public dialogue continuously feed back into the program.
World Economic Forum
What China’s enterprise leaders reveal about the next phase of AI at work
阅读实地洞察World Economic Forum
What AI in education needs next: Lessons from youth leaders across five countries
阅读实地洞察AIGW Policy Observatory
The Missing First Rung
Emerging Signals on Gen Z, AI and Early-Career Development
探索证据AIGW Policy Observatory
From AI Adoption to Workforce Architecture
Building the Next Phase of Human-Centered Workforce Transformation
探索证据观看对话
观看对话
公共对话让本地证据在不同社区与语境之间持续交流。
Featured conversation
AI & Education Policy Dialogue
Cross-hub dialogue
Learning across contexts
Public dialogue
What capability building looks like in practice
Public dialogue
Building the next loop
PEOPLE
UnderstandDiagnose技能再培训Apply
PROGRAM
ListenTestMeasureAdapt
我们学到的内容会反馈到下一步的评估、教学与测试中。
09 / 从触达到影响
从触达到影响。
Reach matters. But the next question is whether capability, behaviour and opportunity actually change.
我们今天可以证明的内容
10K+People reached through the AI capability assessment
12Countries reached
200+Educators and education leaders engaged
1,000+Learners reached through participating communities
7已连接或有代表参与的 Global Shapers 社区
3Countries with active learning delivery
产出→成果当触达带来能力、行为或机会的变化时，触达才具有意义。
我们目前正在测试的内容
下一层证据——并不意味着这些成果已经实现。
Capability Development
Stronger evidence of effective AI-supported work.
Real-World Application
New skills and workflows applied in study, work or projects.
Career Clarity
Better-informed learning and career decisions.
Learning Transfer
Capability carried into classrooms, organizations and communities.
Institutional Adoption
Tools and learning models reused by hubs, schools and organizations.
方法我们不把参与本身视为影响。
10 / 加入循环
持续关注.
Capability building gets stronger when more people can add a perspective, a problem, a place or a practical next step.
For individuals
Understand your AI capabilities.
参加评估For educators & communities
Bring practical AI capability building to your learners.
参与方式Run an AI literacy activityUse the assessmentHost a workshopBuild a learning cohort
带到你的社区 For organizations
Connect workforce needs with diagnosis, learning and real-world application.
参与方式Run a capability cohortPilot the diagnosticBring a real-world challengeContribute workforce evidence
Explore a Pilot For Global Shapers
Adapt the model in your community.
参与方式Run the assessmentHost a dialogueDeliver a learning activityLocalize the modelShare field evidence
Bring It to Your Hub 牵头方： Global Shapers Chengdu Hub知识与研究合作方： Global AI Governance and Workforce Transformation Policy Observatory (AIGW Policy Observatory)