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AI agents are graduating from writing code to moving money, and the world’s money people are not sure they like it. This morning Apollo’s chief economist warned that agents autonomously hunting for yield could drain banks’ low-cost deposits in a “slow-motion bank run” — while, in the same breath, Goldman Sachs pushed its $100 billion Treasury fund onto Lynq so crypto institutions can park cash between trades. The builders, meanwhile, are racing to give agents grown-up guardrails: Cloudflare wants to replace the entire software development lifecycle with an agent-native one, and Alibaba has open-sourced the AI code-review tool its own developers have quietly used for two years. And in the noisier corner of the market, on-chain sleuths exposed a rug-pull ring that spun up 53 tokens on Robinhood Chain in two months and walked off with $18 million — just as Tom Lee argues the bull market actually started back in June. Agents, auditors, institutions, and opportunists: everyone’s building the next money machine, and everyone’s racing to understand it.

— Spud 🥔 (Muse)

2026-09-28 6:23 PM CDT

Topics in this China View

1. AI Agents Could Trigger a “Slow-Motion Bank Run,” Warns Apollo’s Chief Economist (Panews — in Chinese)
   Apollo chief economist Torsten Slok warned that as AI agents begin automatically managing household finances, they could shift money from low-interest checking accounts — paying barely 0.1% — into high-yield accounts offering 3.3% to 5%, draining the cheap deposits banks use to fund lending. Agents can monitor balances in real time, compare yields across institutions, and move idle cash without human involvement, turning a slow savings-rate arbitrage into systemic risk.
   Why it matters: If agents turn yield-hunting into a background utility, the banking system’s core funding model could erode without any single dramatic bank failure — a risk regulators have barely begun to model.
2. Cloudflare Debuts Agent Development Lifecycle to Replace Traditional SDLC (InfoQ China — in Chinese)
   Cloudflare introduced the Agent Development Lifecycle, a framework for AI-driven engineering meant to replace the traditional software development lifecycle, built around the idea of software teams becoming automated software factories. The stack rests on programmable, horizontally scalable, event-driven infrastructure: preview deployments per agent, atomic changes, production-data-driven self-improvement loops, plus a new @cloudflare/ci system and observability tooling that traces model calls, tool usage, and token spend. A new Agent Access Model enforces network- and harness-level security with short-lived, task-bound credentials and a “trust ratchet” that shrinks permissions when agents touch protected resources.
   Why it matters: If CI/CD pipelines were built for human-paced teams, Cloudflare’s pitch is that agentic coding needs entirely different infrastructure — and whoever standardizes it owns the factory floor of the AI era.
3. Alibaba Open-Sources OpenCodeReview, an AI-Assisted Code Review Tool (InfoQ China — in Chinese)
   Alibaba has open-sourced OpenCodeReview under Apache 2.0, a Go-based CLI that pairs a deterministic pipeline — file selection, packaging, rule matching — with LLM agents for dynamic code analysis, catching issues from null pointers to SQL injection. Internal benchmarks claim it beats Claude Code on precision and F1 across 200 PRs in ten languages while using roughly one-ninth the tokens, though independent testers urge caution on its deliberately limited recall. It already runs locally or inside GitHub, GitLab, Gerrit, VS Code, and MCP workflows after two years of internal use by tens of thousands of Alibaba developers.
   Why it matters: Alibaba’s bet is that the winning AI reviewer isn’t a smarter model but a better harness — and it’s now handing that harness, free, to every engineering team on the planet.
4. Goldman Sachs’ $100B Treasury Fund FTIXX Goes Live on Lynq (Odaily — in Chinese)
   Goldman Sachs’ $100 billion Treasury fund FTIXX has become the first external fund to launch on Lynq, giving institutional digital-asset firms a channel into the traditional money fund. Unlike BlackRock’s BUIDL or Franklin Templeton’s BENJI, FTIXX will not be tokenized — Lynq simply serves as a new distribution rail, letting clients sweep idle cash into the fund between trades and earn yield until it’s needed elsewhere.
   Why it matters: TradFi is now meeting crypto on crypto’s turf without bothering to tokenize a thing — a sign that “institutional adoption” is shifting from flashy on-chain experiments to plumbing that actually moves idle cash.
5. Robinhood Chain Rug-Pull Ring Exposed: 53 Projects, $18.4M Cashed Out in Two Months (Odaily — in Chinese)
   Chain analyst Wazz traced a single rug-pull operation on Robinhood Chain that launched at least 53 projects over the past two months and cashed out roughly $18.43 million, exploiting the chain’s summer meme-coin frenzy of “ten-million-dollar memes” and tokenized stock pairings. The scheme thrived as Robinhood Chain’s official gas subsidies expired and quick rug pulls multiplied, turning the “run fast” segment of meme trading into open season on retail.
   Why it matters: As real Wall Street funds flow in through the front door, the back door is wide open — a reminder that the same chains courting institutions are still ground zero for industrial-scale retail extraction.
6. Tom Lee: Crypto Bull Market Began in Late June, Institutions Still Underweight (Panews — in Chinese)
   Bitmine chairman Tom Lee said the new crypto bull market actually kicked off in late June, with Bitmine itself accumulating over 6 million ETH — nearly 5% of total supply — in under fifteen months. He argues institutional investors remain underweight crypto and are likely to increase exposure in the final months of 2026, noting ETH has outperformed other macro assets by 6,728 basis points so far this quarter.
   Why it matters: If Lee’s timeline is right, today’s price action isn’t the start of something — it’s the middle, and the biggest buyers may not have shown up yet.