The chipmaker isn't just selling shovels in the AI gold rush anymore—it's buying stakes in every claim. Nvidia deployed $18.6B in venture capital over three months, a spending pace that dwarfs traditional VC firms and signals a shift from hardware supplier to kingmaker
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The company that owns search just shipped a chatbot that responds to the word "disregard" by disregarding your search entirely.
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While everyone's watching his humanoids pack boxes, Adcock's quietly building the device that makes the robot obsolete. Figure AI CEO Brett Adcock's new startup Hark raised $700M at a $6B valuation to build personalized AI models and hardware devices, funded by Nvidia, AMD, and Salesforce Ventures
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The Chinese lab that embarrassed Silicon Valley with cheaper AI is now raising more money than OpenAI's last round, and they're telling investors the quiet part out loud: profitability can wait.
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The search bar just became a construction site where your AI builds answers instead of linking to them. Google launched a Managed Agents API and AI-powered information agents at I/O 2026, shifting Search from retrieval to generation.
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The trial would have forced Meta to defend algorithmic design choices in open court—turns out the company prefers a quiet settlement to public discovery about how the feed actually works.
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The statute of limitations just saved OpenAI from answering whether it betrayed its founding mission, and while Musk plans an appeal, Altman's already moved on to converting Y Combinator equity into compute credits.
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Elon Musk just reframed a rocket company as an AI infrastructure bet worth more than the entire global GDP. SpaceX is pitching IPO investors on a $26.5 trillion AI market opportunity, repositioning itself from launch provider to AI infrastructure competitor
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The companies building the infrastructure for Web4 are borrowing so much money that the bond market itself might become a bottleneck before the models do. Big Tech is borrowing more than expected to fund data centers and AI infrastructure, according to Barclays
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Amazon's biggest AI bet is now shopping for compute from Amazon's biggest cloud rival. Anthropic is in talks to rent AI server chips from Microsoft, marking a potential shift in the startup's infrastructure strategy
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The world's AI infrastructure almost lost 18 days of memory chips because factory workers wanted better wages—and the market just exhaled $47 billion in relief.
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Wall Street wanted another 10x hockey stick; Jensen Huang handed them a $200 billion consolation prize and a memo that reads "we're a chip company for everyone now."
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The world's most valuable company just learned that "good enough" doesn't fly when you've trained investors to expect miracles every 90 days.
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The cloud wars just got a satellite uplink. SpaceX's IPO filing reveals Anthropic is paying $15 billion annually to access SpaceX's GPU infrastructure, making SpaceX a major player in AI compute rental
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The rocket company that ate an AI lab just showed us the bill for both. SpaceX filed its S-1 paperwork, revealing $4.9 billion in losses on $18.7 billion revenue for 2025, including the February acquisition of xAI, Elon Musk's AI startup.
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Meta just proved the Web4 thesis: AI doesn't just automate tasks, it replaces organizational layers. Meta is cutting roughly 8,000 jobs — about 10% of its 78,000-person workforce — while simultaneously shifting 7,000+ employees into AI roles. This isn't downsizing. It's reallocation.
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The company that promised AI agents for everyone is now using them to decide who gets to keep building them. Meta is cutting 8,000 jobs globally as part of a restructuring framed around AI-driven efficiency
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The search box that won the internet is getting its first real redesign in 25 years because AI finally forced Google's hand. Google announced a redesigned search interface and new AI coding tools as part of its broader AI integration strategy
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Google just watched Anthropic's Claude and OpenAI's models eat its lunch in coding tasks for two years, and now it's finally serving a response.
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Bitcoin miners spent years getting dunked on for burning electricity to solve math problems, and now they're sitting on exactly what AI hyperscalers will pay top dollar for: gigawatts and grid connections.
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