Google's Gemma 3 Launch Fuels AI Token Surge, Boosts Crypto Market

March 29, 2025
Google's Gemma 3 Launch Fuels AI Token Surge, Boosts Crypto Market
  • On March 29, 2025, Google unveiled the Gemma 3 family of large language models, as reported by DeepLearning.AI.

  • This launch has immediate implications for the cryptocurrency market, particularly affecting AI-related tokens such as SingularityNET (AGIX), Fetch.AI (FET), and Ocean Protocol (OCEAN).

  • Following the announcement, AGIX's price increased by 7.2% to $0.85, FET rose by 5.8% to $0.72, and OCEAN surged by 6.5% to $0.68 within the first hour.

  • At 11:30 AM UTC, trading pairs for AGIX/BTC, FET/BTC, and OCEAN/BTC saw increases of 6.5%, 5.2%, and 5.9% respectively, reflecting a strong correlation between AI developments and cryptocurrency market dynamics.

  • Trading volume for these tokens spiked dramatically, with AGIX recording $120 million, FET $95 million, and OCEAN $80 million shortly after the announcement.

  • On-chain metrics showed increased activity, with AGIX's active addresses up 20% to 10,000, FET's up 15% to 8,500, and OCEAN's up 18% to 7,800 by 12:00 PM UTC.

  • Despite potential corrections indicated by technical indicators, AGIX's MACD showed bullish momentum, suggesting continued upward movement, with trading volumes increasing by 30%, 25%, and 28% for AGIX/BTC, FET/BTC, and OCEAN/BTC by 1:30 PM UTC.

  • Technical indicators indicated potential corrections, with AGIX's Relative Strength Index (RSI) at 72, FET at 68, and OCEAN at 70, suggesting overbought conditions.

  • The positive market sentiment towards AI technologies suggests sustained interest and investment in AI-related cryptocurrencies.

  • The Gemma 3 models include multimodal versions that can process text, images, and video, and are available for free with open weights.

  • The launch has also positively influenced Bitcoin, which saw a 1.2% increase to $65,000 following the announcement, highlighting the broader market impact of AI developments.

  • Model sizes range from 1 billion to 27 billion parameters, designed to run on consumer hardware, with specific versions of 4B, 12B, and 27B parameters highlighted.

Summary based on 1 source


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