正在报名！全球顶尖行为经济学家约翰·A·李斯特莅临北纬诺贝巅峰对话

人工智能正加速从实验室走向真实产业场景，但真正决定一项AI创新能否沉淀长期价值的，不在于技术本身的先进性，而在于其能否抵御从试点到规模化落地过程中的 “势能衰减”。本次演讲中，约翰·A·李斯特教授将结合《势能效应》核心理论，梳理人工智能从实验探索到真实世界规模化部署的关键路径，帮助组织识别技术势能持续放大或中途失速的核心拐点，掌握如何将 AI 投入转化为可持续的商业回报。针对多数企业能够实现 “0到1” 的惊艳突破，却在 “1到N” 扩张中遭遇瓶颈的普遍难题，李斯特教授将拆解各类影响创新势能的规模化陷阱，甄别真正可复制的增长信号，帮助组织理解如何让好想法变伟大，让伟大想法规模化。

Artificial intelligence is rapidly moving from the laboratory into real-world industrial settings. Yet what ultimately determines whether an AI innovation can generate lasting value is not simply the sophistication of the technology itself, but whether it can withstand the "voltage drop" that often occurs between pilot success and scaled deployment.

In this talk, Professor John A. List will draw on the core ideas of The Voltage Effect to map the critical pathway from AI experimentation to real-world scale deployment, helping organizations identify the key inflection points where technological momentum either compounds or collapses — and how to ensure AI investment converts into durable commercial returns. For many organizations, the real challenge lies not in achieving a striking "0-to-1" breakthrough, but in navigating the difficult transition from "1 to N." Professor List will unpack the scaling traps that drain innovation momentum, distinguish the signals of truly replicable growth, and offer insights into how organizations can make good ideas great — and great ideas scale.