Alphabet just rewired the AI capital race: $10 billion goes to Anthropic now at a $350 billion valuation, with another $30 billion tied to performance targets. Coming days after Amazon’s own pledge, the deal shows that frontier labs are no longer raising money in rounds so much as pre-buying compute at planetary scale.
Alphabet’s planned investment is enormous even by 2026 AI standards: $10 billion committed now, with another $30 billion tied to performance targets. Reuters says the deal comes as Anthropic’s run-rate revenue tops $30 billion and the company races to lock in more computing capacity after parallel deals with Amazon, Broadcom, and CoreWeave.
This is not just another AI funding round. TechCrunch reports Google will put in $10 billion now at a $350 billion valuation, with as much as $30 billion more tied to Anthropic targets and 5 gigawatts of fresh compute over five years.
HN did not read Google’s TorchTPU post as another cloud pitch. The real question in the thread was whether a PyTorch user can really switch to `tpu` without falling back into the old PyTorch/XLA pain cave.
Google is signaling that enterprise AI is moving from demos to operational scale. In its April 22 Cloud Next update, the company said customer API traffic has risen to more than 16 billion tokens per minute and that just over half of its 2026 machine-learning compute investment will go to the Cloud business.
Why it matters: retrieval stacks are being pulled from text-only search into multimodal memory. Google AI Studio said Gemini Embedding 2 is generally available and covers text, image, video, audio, and documents through one model path.
Google has put Deep Research on Gemini 3.1 Pro, added MCP connections, and created a Max mode that searches more sources for harder research jobs. The April 21 preview targets finance and life sciences teams that need web evidence, uploaded files and licensed data in one workflow.
TNW reports that Google is discussing two AI chips with Marvell: a memory processing unit and an inference-focused TPU. No contract is signed yet, but the talks show how serving models, not just training them, is driving custom silicon strategy.
Google made AI Mode in Chrome available in the U.S. with a side-by-side browser layout and richer context input. Users can open web pages next to AI Mode, ask follow-up questions against the page and web, and add recent tabs, images, or PDFs into the same search flow.
Google is moving AI Mode deeper into Chrome instead of keeping it as a separate Search stop. The April 16 rollout opens pages side-by-side with AI Mode, lets users bring recent tabs, images, and PDFs into a query, and is now available in the U.S.
Google is rolling out Skills in Gemini in Chrome so users can save prompts and rerun them on the current page or selected tabs. The feature starts on Mac, Windows, and ChromeOS for English-US desktop users, with confirmations before actions like adding calendar events or sending email.
Google has turned Gemini into a native Mac resident instead of a browser tab, with Option + Space bringing up the assistant and screen sharing extending it to whatever is open on the desktop. The April 15 launch also makes the app free globally for machines running macOS 15 or later.