The market just told Big Tech that crushing earnings don't matter if the bill for building AGI keeps going up. Alphabet beat Q2 revenue estimates with $119.8 billion but stock fell after hours as the company raised 2026 capex guidance to $195-205 billion, spooking investors
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While Silicon Valley debates AI sovereignty, Africa is quietly building the infrastructure that determines who actually controls the compute. Africa's data center buildout is accelerating, driven by cloud adoption, AI demand, and local infrastructure investment across the continent
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The AI labs are done waiting for Nvidia to decide their fate. Anthropic asked SK Hynix for supplies to make its own chips, according to SK Group Chairman Chey Tae Won — a signal that frontier AI labs are going vertical on silicon
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The AI arms race just shifted from better models to better manners. Cognition acquired Poke, the text-it-like-a-friend AI assistant, for low nine figures to bring conversational personality to Devin, its AI coding agent
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Meta wants to schedule your meetings and read your kids to sleep, which tells you everything about how the chatbot wars just became the assistant wars.
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The quiet part U.S. AI labs won't say out loud: China's free models might be good enough to kill the API business before anyone IPOs.
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The donation landed while regulators are still deciding whether to let Gemini off the hook. Tyler and Cameron Winklevoss sold Bitcoin to donate $10M to a Trump super PAC, marking their second major crypto contribution to the former president's political operation
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Amazon just taught Alexa to read laundry tags and make decisions, which sounds trivial until you realize what just broke open.
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The AI boom just funded one of the world's most expensive divorces. SK Hynix chairman Chey Tae-won ordered to pay ex-wife $643 million in divorce settlement, ending years-long legal battle Chey's fortune exploded during the AI boom as SK Hynix became critical supplier for AI memory chips
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Google just proved you can print money and burn cash at the same time. Alphabet posted negative $5.9B free cash flow in Q2 2026 — the company's first-ever negative cash quarter — while AI capital expenditures doubled year-over-year to $44.9B
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A talent marketplace you've never heard of just posted numbers that make most unicorns look quaint—and proved that the real AI bottleneck isn't compute, it's humans who know what to do with it.
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The smartest companies in AI are now competing on frugality, not capability. Amazon is redesigning Alexa+ to use less of Anthropic's expensive Claude models, routing more requests to cheaper in-house models and optimizing GPU usage to quadruple transactions per unit of computing capacity.
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While everyone else is cutting jobs to fund their AI pivot, Google is hiring thousands to chase the very thing AI was supposed to replace.
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Alphabet is lighting $200 billion on fire this year and Wall Street is asking if there's a furnace or just smoke. Alphabet posted its 12th straight quarter of double-digit revenue growth, beating expectations despite delays in releasing Gemini Pro
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When you bury a hundred billion dollars in "other income," you're either very smart or very scared someone will ask questions. Alphabet reported $98 billion in unrealized gains from equity investments in Q2 2026, disclosed in one vague sentence. No analyst asked about it on the earnings call.
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The gap between Google and OpenAI just shrank to 50 million users, and Google's playing a different game entirely. Google's Gemini app hit 950 million monthly active users, up from 750 million in February and 650 million in October, putting it within striking distance of ChatGPT's 1 billion users.
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Google spent 2025 looking like the AI lab that finally woke up, and now it's getting dunked on by the competition for delays that would have been a footnote six months ago.
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The data landlords are learning what happens when your tenant builds the tower. Reddit's $60 million annual AI licensing deal with Google may not renew, with RDDT stock dropping ~6% on the news as friction surfaces in renewal talks
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The company that lost its entire founding team to Microsoft is now betting the future of AI belongs to products that remember your life, not just your last prompt.
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The race to power AI agents just became a math problem, and Google's betting you'll pick speed over pennies. Google DeepMind shipped three new models — Gemini 3.6 Flash ($1.50/$7.50 per million tokens), 3.5 Flash-Lite ($0.30/$2.50), and 3.5 Flash Cyber — all optimized for running AI agents at scale.
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