The convergence between blockchain technology and artificial intelligence is intensifying, with key industry figures such as Ben Goertzel Convinced that AI should be decentralized.
This convergence was even underlined by the World Economic Forum, which supported In 2024, that “synergies between space computer science, blockchain and AI will increase our experiences and will more and more guide our interactions with the digital world.”
Eminent crypto venture capital Marcs Andreats Considers that control of AI is a major strategic priority for China and the United States, because the two nations are entering a race of “Cold War Style” for technological domination.
The venture capital AI has taken the spotlight at the Summit Vancouver Web, one of the main technological conferences in the world. I had the opportunity to moderate a panel exploring basic dynamics by shaping AI investment with the basic layer.
In this week’s Crypto Biz newsletter, we dive into the future of AI and crypto, unpacking major themes that have emerged in recent months.
Who wins the AI financing race?
On the web Summit Vancouver, I moderated a panel on the financing of the risk capital of IA featuring George Mathew of Insight Partners, Cathy Gao of Sapphire Ventures and JP Sanday of Menlo Ventures.
We explored why the so-called “sudden” push of the financing of AI has deeper roots, the rapid rise of generative AI and the uses of high potential look carefully. While the crypto was left to the agenda, the emerging trends highlighted by these VCs paint a clearer image of the innovation expected in the blockchain industry.
George and JP also discussed the American-Chinese technological rivalry and its implications for AI infrastructure and the development of the data center. At the same time, Cathy shared information on the impact of competition intensification on IA startup assessments.
https://www.youtube.com/watch?v=1zqk2u1tg1g
IA venture capital eats crypto lunch – for now
For all discussions on AI and Crypto convergence, venture capital has Highly privileged artificial intelligence startups recently.
In April, Pitchbook data showed that AI startups attracted nearly 60% of world venture capital in the first quarter, totaling $ 73 billion during the three-month period.
A large part of this – $ 40 billion – came from a single financing cycle for OpenAI, whose Chatgpt models are now boasting of more than 180 million monthly active users.
Distinct Cryptorank data revealed that crypto and blockchain startups have raised $ 4.8 billion in first quarter.
Circle co-founder: “AI agents will soon perform most economic transactions”
Sean Neville, co-founder of Stablecoin from Circle, has lifted $ 18 million For a new company aimed at building a “native AI financial institution”.
The newly launched Catena Labs is supported by the Capital-Comité-réxque on the crypto and aspires to become a bank entirely regulated for the IA-focused economy.
While companies like McKinsey and Ey have highlighted the transformer potential of AI agents in finance, the concept of “native” financial institutions remains largely underestimated.
Catena Labs maintains that “traditional financial systems are not prepared and resistant to AI, which hinders the growth of the economy of agents”.
“AI agents will soon perform most economic transactions,” added Neville.
Ai decentralized on Solana
Another notable development in the blockchain artificial intelligence link came from the research of us, which recently obtained $ 50 million To build a decentralized AI on Solana.
The financing round, which was led by the paradigm, estimated research on the United States at $ 1 billion, according to Fortune. The previous donors of the startup include Delphi Digital, North Island Ventures and Distributed Global.
The Solana Leverie to encourage participation in users in the development of its Open Source models, aimed at competing with the main major language models such as Openai and Deepseek.
Unlike traditional centralized approaches, we form its LLM in a decentralized and community -focused way – a strategy that distinguishes it, according to the partner of paradigm Arjun Balaji.
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