Why Infrastructure Matters In An Agentic World
summary
Central claim: as AI moves from answering to acting, durable infrastructure becomes the moat. Finance examples: a decade building over 80 licenses and global rails, an API-first programmable rails approach, and a full stack of accounts, spend, payment and billing that embeds ML and generative models inside routing and risk. Agents connect via MCP, CLI and skills and expect real-time settlement in seconds not multi‑day batches, so regulatory access, speed and embedded intelligence decide which agentic systems scale.
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chapters (8)
- 0:00Introduction and context
- 1:13AI needs real infrastructure
- 2:58Airwallex’s infrastructure journey
- 6:09AI-native finance teams
- 8:17Path of maximum resistance
- 10:07Key infrastructure outcomes
- 13:18Building for agentic era
- 14:43Final advice and summary
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