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Why Amazon Supply Chain Services Reshapes Logistics and Why the Actual Battle Sits One Layer Up
ASCS isn't AWS for logistics. It's the first credible attempt to make logistics callable by software, a substrate the agent era requires. But substrates don't guarantee control. The real battle is one layer up, and it just opened.
The Quiet Architect Hands Off
Apple’s post-Cook era begins with strength and uncertainty. As John Ternus takes over, Apple must prove its massive hardware base and silicon edge can offset its lag in frontier AI, turning time bought into a real competitive advantage.
The Map and the Territory: Why Capability Is Not the Same as Reliability
Capability is advancing faster than reliability. LLMs model language—a lossy map of reality—so fluency scales, but truth doesn’t. The key constraint isn’t compute, but grounding, objectives, and stable learning dynamics.
The Mapping Problem: Why AI's Biggest Bottleneck Isn't the Technology
A field experiment across 515 startups reveals AI's real bottleneck: not the technology, but discovering where it creates value. Firms that learned to map AI across their production chains grew 1.9× faster, while asking for 39.5% less capital.
The Depreciation Trap: Why the AI Bubble Is Real, Inevitable, and Irrelevant
AI’s core risk isn’t validity but timing: massive capex assumes demand grows fast enough. If supply outpaces real usage, GPU economics collapse, exposing fragile financing. Depreciation doesn’t cause the correction; it determines when it becomes visible.