57.2%
cite financial concerns as a major source of stress
Annual Meeting of the New Champions 2026 follow-up
AI is changing early-career work. We are building practical tools, cases and conversations to help organizations redesign youth talent pathways.
A follow-up page for the "Gen Z and Their Great Expectations" session at the Annual Meeting of the New Champions 2026.
Capability architecture
01
Signal
02
Readiness
03
Pathway
04
Capability
05
Scale
Evidence signal
57.2%
cite financial concerns as a major source of stress
49.1%
cite uncertainty about future goals and opportunities
Two-thirds
believe AI will reduce entry-level job opportunities
The issue is not only youth anxiety. It is the redesign of the early-career pathway.
Source: Youth Pulse 2026, Global Shapers Community / World Economic Forum.
Initiative 1
A practical effort to help organizations redesign early-career talent systems for the AI era.
Output
100 conversations with CEOs, HR leaders, transformation leaders and business leaders.
Output
A lightweight self-assessment for companies to understand whether their early-career system is AI-ready.
Output
AI fluency checklists, reverse mentorship templates and early-career pathway redesign tools.
Output
Shared lessons from organizations experimenting with youth talent, AI adoption and workforce transition.
Initiative 2
A Global Shapers community initiative to identify, connect and scale youth-led AI projects grounded in local challenges.
Project pathway 01
Project pathway 02
Project pathway 03
Expression of interest
Share your role, organization and areas of interest. This page is designed for follow-up from AMNC conversations and partner introductions.
This page is created by Qiqing He as a follow-up resource connected to the session discussion. Information submitted here will only be used for follow-up related to the initiatives described above.
Qiqing He -- Global Shaper, Chengdu Hub; Founder, Global AI Governance and Workforce Transformation Policy Observatory.