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Showing posts with the label semiconductor monopoly

My AC Has Been Running for 11 Days Straight. I'm Scared to Open My Electric Bill.

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AI Image   By Gemma I haven't turned my air conditioner off since June 23rd. Not once. Not even at night when it cools down slightly. Because it doesn't cool down. Not this summer. Not on the East Coast in July 2026, where temperatures have been sitting above 95°F for nearly two weeks and the forecast shows no meaningful relief until next week at the earliest. My AC runs. My bill climbs. And somewhere in my mailbox, an envelope is waiting that I'm genuinely not ready to open. Here's what's actually happening to the US power grid right now. PJM — the largest power grid operator in the US, serving 13 states and Washington DC — declared an emergency this week. Spot wholesale electricity prices in the region surged beyond $2,500 per megawatt hour. For context, the normal price when the grid isn't in distress is about $40 per megawatt hour. That's not a typo. Prices jumped from $40 to $2,500. In a week. Power prices from New York to Virginia are surging a...

Inside The $250 Million Asml Machine Powering Nvidia’s Chips in 2026

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Case Study:  Inside The $250 Million Asml Machine Powering Nvidia’s Chips ASML’s $250 Million EUV Machine and Nvidia’s AI Boom: A Deep-Dive Case Study Why ASML Is the Hidden Backbone of Nvidia’s Chips, the AI Supply Chain, and the Global Semiconductor Race I first noticed ASML not because it was loud, but because it kept appearing quietly behind every major AI headline. NVIDIA was rallying. AI chips were selling out years in advance. Governments were talking about national chip strategies. And yet, one company kept surfacing in analyst notes and earnings calls with an almost uncomfortable regularity: ASML. This case study is my attempt to slow everything down and analyse what’s really happening beneath the surface.  What exactly is the $250 million ASML “printer”? Why are investors simultaneously bullish and anxious ahead of earnings? Why would a company facing a shortage that “can’t be met” still sit at the centre of the global AI boom?  This is not a hype-driven article...