Venture capital investment in decentralized artificial intelligence (AI) within the cryptocurrency sector has reached $917 million, reflecting growing interest in the integration of AI and blockchain technologies. This convergence aims to disrupt traditional centralized data monopolies, with blockchain enabling more open and decentralized data ecosystems. Industry projections estimate the AI-blockchain market will grow to $2 billion by 2029, expanding at an annual rate of 28%. AI-powered crypto trading bots are increasingly automating trading strategies and risk management, operating continuously without human intervention. Experts highlight that restricting data access hampers AI development, and decentralized systems could enhance AI capabilities, potentially benefiting major technology companies as customers. Sam Altman has emphasized the significant impact of AI models that effectively integrate tools on crypto trading, with companies like Griffin AI actively developing such technologies. Additionally, a survey conducted by Kraken of 824 U.S. cryptocurrency holders indicates rising interest in AI-related crypto tokens.
AI tokens are on the rise 🤖📈 Kraken surveyed 824 U.S. crypto holders. Here’s what they really think about AI-powered crypto 🧵👇
📢 According to https://t.co/9qzCDKmxPx(@BlockchainNewsM), Sam Altman highlights how “AI models integrating tools effectively has profound implications for crypto trading.” 🦅 At Griffin AI, we’re already making this reality. “These advancements enable traders to leverage AI https://t.co/wYHZeBxIc9
🚫 Restricting data makes #AI worse. 🤖 @amitto from @rainfall_one explains why decentralised systems will improve AI and why Big Tech might end up being the biggest customer. 💸 The shift is already happening. Learn why and how 👇 https://t.co/E5DXg8g17H