Billions of dollars are flooding into humanoid robotics as tech giants and startups race to build AI-powered machines, with experts calling it a potential platform revolution — but serious challenges around dexterity, training data, job displacement, and overhyped expectations threaten to slow the boom.
Jane Street strikes a $6 billion cloud computing deal with CoreWeave while securing a $1 billion equity stake, gaining exclusive access to NVIDIA's next-gen Vera Rubin architecture that promises 10x lower AI costs, positioning the $20.5 billion revenue trading giant at the cutting edge of AI-powered finance.
AI data center startup Fluidstack is seeking $1 billion in funding at an $18 billion valuation, more than doubling its worth in months, driven by a landmark $50 billion deal with Anthropic to build custom AI data centers across the U.S.
Meta locks in a massive multi-gigawatt AI chip deal with Broadcom through 2029, deploying cutting-edge 2-nanometer MTIA silicon as part of a staggering $135 billion infrastructure push that also spans partnerships with Nvidia, AMD, and Arm Holdings.
OpenAI acquires personal finance startup Hiro Finance in an acqui-hire move, bringing aboard founder Ethan Bloch and roughly 10 employees as the AI giant signals a growing push into financial technology talent.
Anthropic's Claude has exploded to a $30 billion annualized revenue run-rate as of April 2026, tripling from $9 billion in just months, with over 1,000 businesses each spending $1 million-plus annually — a pace of organic growth that appears to surpass every company in American history.
OpenAI is going on the offensive in the enterprise AI war, blasting Microsoft for limiting its reach, partnering with AWS to accelerate growth, and accusing rival Anthropic of inflating its $30 billion revenue run-rate by $8 billion, as OpenAI fights to close the gap in enterprise adoption where Claude currently …
SoftBank launches a new AI unit in Japan, backed by eight major corporate investors including NEC and Honda Motor, signaling a major push to develop homegrown artificial intelligence infrastructure across the country.
Anthropic is exploring designing its own AI chips through 'extreme co-design' to cut costs, reduce latency, and break free from Nvidia dependence, though it would rely on manufacturers like TSMC or Samsung for production.
A San Francisco startup is growing AI chips from living human brain cells that train models 3x faster while using 66% less energy, backed by $25 million in seed funding and already in talks with major AI labs.