Google just broke a decade-long tradition. At Cloud Next 2026, the company unveiled not one, but two new AI chips, the TPU 8t for training and TPU 8i for inference. For the first time ever, Google is splitting its custom silicon into specialized architectures instead of relying
MARKET TRENDS
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Enterprise AI Projects: Why Most Fail Before Production
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Tune in to Or Dagan on the Life Self Mastery podcast with @rohitmal
, unpacking why most enterprise AI projects fail before they ever reach production. You can also catch Or Dagan live at #AIDev26 this week in SF with @DeepLearningAI
. Listen on: – Spotify – -

AI Trade Trickle-Down Economics: Reagan Era Parallels
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To put the past week into perspective on the Podcast, I felt I had to reach all the way back to the Ronald Reagan days in America, and the rise of “voodoo economics,” the faith that if the biggest entities in the economy do well, it’ll just trickle down to the rest. The AI trade,
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AI Money Squeeze: Economic Impact Ahead
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You’re about to feel the #AI money squeeze
by Hayden Field @verge Learn more: https://
bit.ly/3QwH0fu #ArtificialIntelligence #MachineLearning #ML -

Google TPU v8 and Huawei Ascend NPU Launch Global Chip War
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Google's TPU v8 and Huawei's Ascend NPU platform: the global Chipwar just began At Cloud Next 2026, Google unveiled its eighth-generation TPU as two separate chips for the first time: the TPU 8t for training and the TPU 8i for inference, claiming up to 2.8x faster training and
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Building Fabs and Integrating New Chips Takes Strategic Time
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It takes time to build a fab. Or incorporate new chips into a new product. In Silicon Valley you can see these things coming for years.
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Apple’s Formula 1 exclusivity forces OpenAI to innovate or fail
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Yeah I know. I am Apple’s first fan. But this time around it will be freedom that matters. And don’t get me wrong. Everyone will buy the Apple ones to watch Formula 1 too. Apple has an exclusive. So OpenAI has to change the game. Or die.
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AI Improvements Ahead: Deep Dive into Future Technology Impact
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I totally disagree. Extra shows you how deeply everything is about to improve with AI: https://
x.com/Scobleizer/sta
tus/2047998307604246907/video/1?s=46
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GPT 5.2 marked the true inflection point in AI
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That inflection point was with GPT 5.2, you are just late
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AI-Driven Vehicles Adoption: Only Millions Reached Globally
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Unfortunately only a few million have had a ride in any AI-driven vehicle. Out of eight billion. A lot of work to do.
