Historically, humans have solved their toughest tasks by creating tools capable of withstanding greater strain to undertake the job or augment their abilities. From levers to steam engines and beyond, the structural evolution of machines is almost as remarkable as their ability to improve operational cultures.
In recent times, we have seen machines attain their highest structural complexity, productivity, and best aesthetics yet. The most relevant new technologies today focus on creating high-throughput physical machines and software that ‘thinks’, and, more futuristically, a fusion of both.
From moving machines to intelligent humanoids
Evolving from ‘moving machines’ capable of handling repetitive tasks to intelligent machines is a century-long goal for robotics. The rapid growth in this sector over the past half-decade, with a $218 billion projection for 2031, is driven by expectations that advancements in AI will extend to robotics and expedite the development of intelligent robots.
The post Paradigm Secures $1.2B Fund to Bridge Crypto, AI, and Robotics Investments appeared on BitcoinEthereumNews.com.
Key Highlights Paradigm secures $1.2 billion in its fourth venture capital fund Investment strategy now encompasses AI, robotics, and emerging frontier technologies beyond cryptocurrency Portfolio already includes drone company Zipline and space defense firm True Anomaly Venture capital funding reached unprecedented $510 billion in H1 2026 globally Cryptocurrency sector attracted $10.8 billion in venture investments during the same period One of cryptocurrency’s most prominent venture capital firms, Paradigm, has successfully closed a $1.2 billion funding round for its latest investment vehicle, signaling a strategic pivot toward artificial intelligence, robotics, and other cutting-edge technologies while maintaining its crypto roots. LATEST: Crypto VC firm Paradigm has raised $1.2B for a new fund targeting AI and robotics startups. pic.twitter.com/GYgB3Zy6kK — CoinM
The post Paradigm raises $1.2B as crypto VC pushes into AI and robotics appeared on BitcoinEthereumNews.com.
Paradigm has raised $1.2 billion for its fourth fund, extending one of crypto venture capital’s biggest names into a wider set of technology markets. The firm said the new vehicle will back builders working in crypto, artificial intelligence, robotics, and other areas near the edge of current software and hardware development. Summary Paradigm’s new fund keeps crypto central while adding AI, robotics, and frontier technology bets now. Crypto venture firms are broadening strategies as AI funding captures largest share of venture capital. Hyperliquid, Kalshi, Tempo and Morpho show Paradigm still backs crypto market infrastructure despite wider ambitions. Co-founder Matt Huang and managing partner Alana Palmedo announced the new fund on July 8, 2026. Paradigm said it began in 2018 with a focus on frontier markets and will now invest “first in crypto” while also expanding across AI
The post Physical AI moves from demo floor to factory floor as robots face the real world appeared on BitcoinEthereumNews.com.
The key constraint is not investor enthusiasm. It is real-world data, battery life, edge chips, safety certification and the cost of deploying machines into messy industrial environments. Humanoids are attracting the heat, but nearer-term ROI still sits in purpose-built automation, warehouse AMRs and specialized robotics systems. The durable winners are likely to be companies with proprietary deployment data, clear labor-bottleneck solutions and Robotics-as-a-Service models that reduce upfront customer costs. Robots face the real world Citi’s Robotics & Physical AI Leadership Conference left a clear message: physical AI is no longer just a laboratory story or a venture-capital slide deck. It is starting to move from proof of concept toward commercial deployment. But the catch is just as important. This is not the same scaling curve as the chatbot boom. Robots d
The post AxBlade × AWS Hong Kong Summit Wraps: Defining Accountability for Physical AI appeared on BitcoinEthereumNews.com.
AxBlade, the accountability layer for autonomous AI, co-hosted the exclusive side event “From Agentic AI to Physical AI: What Gets Funded After the Model Wave?” alongside AWS Summit Hong Kong Week. Held at the Hopewell Hotel, the invitation-only gathering brought together 100+ founders, researchers, enterprise leaders, and investors from AWS, NVIDIA, Y Combinator, Crypto.com, Roche, Pfizer, SNZ, and City University of Hong Kong to examine the critical infrastructure gap between AI demos and real-world deployment. From Models to Accountability: The Consensus The event opened with a keynote by Nick Hau, Founder of AxBlade, who argued that the next wave of AI funding will not go to larger language models, but to the infrastructure that makes autonomous AI accountable in physical environments. This was followed by a keynote from Ian Holtz, Head of Agentic AI at AWS, o
The post Paradigm Raises $1.2B for Fourth Fund in AI Push appeared on BitcoinEthereumNews.com.
Paradigm has raised $1.2 billion for its fourth fund, which will expand the crypto venture capital firm’s investments into artificial intelligence and related technologies. The company said on Wednesday that its latest fund will invest “first in crypto, and now across AI, robotics and other frontiers.” “We continue investing in crypto and the reinvention of markets and the financial system,” Paradigm added, highlighting its investments in the crypto perpetuals exchange Hyperliquid and the prediction markets platform Kalshi. Paradigm launched in 2018 and has raised more than $4 billion for three funds focused on crypto. Its interest in AI follows a trend of originally crypto-focused companies that have been lured to the lucrative and fast-growing sector. Source: Matt Huang The Wall Street Journal reported in February that Paradigm was seeking to raise $1.5 billion for a new fund that would inv
General Intuition is betting millions of hours of video game data can train the foundation models for physical AI, making it easier to build smarter robots with minimal real-world data.
