韩新毅 / Han Xinyi

Overview

韩新毅 / Han Xinyi is identified by the source as chief executive of 蚂蚁集团 and a panelist on agent commerce and payment trust.

Current Profile

Han presents Ant as a catalyst for a two-sided agent-commerce market: merchants want AI-era growth but hesitate without users, while users lack useful merchant agents. His trust model combines authorization, user and business identity, KYA, agent capability assessment, fund safety, fraud control, auditability, and recourse.

Key Characteristics

• Frames agent-commerce adoption as a merchant-user cold-start problem.
• Treats payment trust as layered infrastructure rather than a single protocol.
• Connects traceability and recourse to long-term consumer confidence.
• Expects commerce distribution to shift from attention time toward user intent.

Evidence

• Adoption evidence: 外滩大会线下圆桌｜敢把钱包交给AI吗？聊聊Agent交易爆发前夜的信任基建 records his small personal purchase through 阿福 and his report of strong merchant interest alongside slower-than-expected deployment.
• Trust-stack evidence: 外滩大会线下圆桌｜敢把钱包交给AI吗？聊聊Agent交易爆发前夜的信任基建 records his authorization, KYC/KYB/KYA, capability assessment, anti-fraud, blockchain traceability, and compensation framing.
• Market evidence: 外滩大会线下圆桌｜敢把钱包交给AI吗？聊聊Agent交易爆发前夜的信任基建 attributes to him personal assistants, intent-based marketing, and scalable expert intelligence as opportunity areas.

Qualifications

The six-to-twelve-month acceleration forecast, merchant-demand assessment, and infrastructure proposals are source-attributed expectations, not independently verified adoption evidence.

What Changed

• Added Han Xinyi’s agent-commerce cold-start and layered payment-trust framework.

Relationships

• 蚂蚁集团 / Ant Group - company he leads in the source.
• 支付宝 / Alipay - consumer and payment ecosystem underlying his commerce discussion.
• Agent Payment Infrastructure / 智能体支付基础设施 - trust, risk, audit, and recourse layer he describes.
• Agent Trust Calibration / 智能体信任校准 - confidence accumulation he compares with the long adoption of online payments.