This week: what China’s historic trade surplus means for it’s trading partners, what Claude Design means for Figma’s dominance, and why Oracle is the stock market’s best read on whether the AI boom holds.

1. China is making trade impossible

Robin Harding
Published: 11/25/2025

China is making trade impossible
Robin Harding’s FT piece ask’s a fundamental question “what does Chia want to to buy from the rest of the world?” China buys what it can’t yet make only long enough to replace those imports. Goldman Sachs economists project China will grow roughly 0.6% faster per year through 2035, but that growth comes entirely at the expense of its trading partners, reducing their growth by 0.1% annually. Not a bigger pie. A larger slice.

For trading partners, the choices are grim. Structural reform alone won’t be enough. Going protectionist is an option, but Beijing is likely to punish smaller trading partners far harder than it does the US.

Filed Under: #opinion #ft #tradePolicy #china #tradeProtectionism

2. Thoughts and Feelings around Claude Design

Sam Henri Gold
Published: 04/17/2026

Thoughts and Feelings around Claude Design
Figma’s decade of dominance came at a hidden cost: its undocumented, programmatically hostile format excluded it from LLM training data, leaving it unprepared for the agentic era. LLMs learned from code, not Figma primitives, and the source of truth is drifting back to code, where it always made more sense.

Claude Design goes is different direction. It’s HTML and JavaScript all the way down, and its proximity to Claude Code collapses the long-standing friction between design and implementation into a single feedback loop.

Filed Under: #opinion #designTools #designAI #figma #agentArchitecture

3. Larry Ellison’s betting everything on OpenAI. Will it pay off or pop the bubble?

Elizabeth Lopatto
Published: 04/29/2026

Larry Ellison’s betting everything on OpenAI. Will it pay off or pop the bubble
Oracle has staked its future on a $300 billion compute deal with OpenAI, making it the most direct public market proxy for the AI boom. The structure is worth understanding: Oracle isn’t building the data centers itself, it’s contracting and leasing capacity, then passing it to OpenAI, which lacks the credit rating and revenue track record to do this on its own.

Of Oracle’s $553 billion in remaining performance obligations, more than $300 billion comes from OpenAI. Oracle’s financial health now depends almost entirely on OpenAI reaching profitability, which it doesn’t project until 2030.

Filed Under: #theVerge #aiInfrastructure #cloudComputing #oracle #larryEllison