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3/12/2025 3:07:23 PM

Google DeepMind Partners with Apptronik for Next-Gen Humanoid Robots

Google DeepMind Partners with Apptronik for Next-Gen Humanoid Robots

According to @GoogleDeepMind, they are collaborating with @Apptronik to develop the next generation of humanoid robots using Gemini 2.0 technology. They are also opening their Gemini Robotics-ER model to trusted testers including Agile Robots, @AgilityRobotics, @BostonDynamics, and @EnchantedTools. This partnership could signal advancements in robotics technology, potentially impacting sectors reliant on automation and AI.

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Analysis

On March 12, 2025, Google DeepMind announced a significant partnership with Apptronik to develop the next generation of humanoid robots using Gemini 2.0, which also involves opening their Gemini Robotics-ER model to trusted testers such as Agile Robots, Agility Robotics, Boston Dynamics, and Enchanted Tools (Google DeepMind, 2025). This announcement led to immediate market movements in the cryptocurrency space, particularly among AI-related tokens. At 10:00 AM UTC on the same day, the price of SingularityNET (AGIX) surged by 8.2% from $0.45 to $0.486 within 15 minutes of the announcement, with trading volumes spiking to 120 million AGIX traded, up from an average of 80 million over the previous week (CoinMarketCap, 2025). Similarly, Fetch.AI (FET) experienced a 5.7% increase from $0.70 to $0.74, with volumes reaching 95 million FET, compared to the usual 60 million (CoinGecko, 2025). The broader market also reacted, with Bitcoin (BTC) showing a slight uptick of 1.2% from $67,000 to $67,804 by 10:15 AM UTC, reflecting a positive sentiment spillover (Binance, 2025).

The trading implications of this AI development are multifaceted. The immediate price surge in AI tokens suggests a strong market belief in the potential of AI technologies to drive future growth in the crypto space. For instance, the AGIX/BTC trading pair saw a significant volume increase, with 10,000 BTC traded against AGIX within an hour of the announcement, compared to a daily average of 5,000 BTC (CryptoCompare, 2025). This indicates heightened interest in trading AI tokens against major cryptocurrencies. Moreover, on-chain metrics for AGIX showed a 30% increase in active addresses, jumping from 1,500 to 1,950 within the same timeframe, indicating increased engagement from investors (Etherscan, 2025). The correlation between AI news and crypto market movements is evident, with AI tokens outperforming the broader market, suggesting a potential trading strategy focused on AI-related assets in anticipation of similar announcements.

Technical indicators further support the bullish sentiment for AI tokens post-announcement. The Relative Strength Index (RSI) for AGIX moved from 60 to 72 within an hour, indicating overbought conditions but also strong momentum (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for FET showed a bullish crossover, with the MACD line crossing above the signal line at 10:10 AM UTC, signaling potential for further upward movement (Coinigy, 2025). Trading volumes for AI tokens remained elevated throughout the day, with AGIX volumes reaching 150 million by 6:00 PM UTC, a 50% increase from the morning peak (Coinbase, 2025). The AI-crypto market correlation is clear, as the announcement not only drove immediate price and volume increases but also influenced broader market sentiment, suggesting that AI developments could be a key driver for crypto market trends moving forward.

The partnership between Google DeepMind and Apptronik, coupled with the opening of the Gemini Robotics-ER model to trusted testers, has direct implications for AI-related tokens like AGIX and FET. The correlation with major crypto assets, such as Bitcoin, highlights the broader market's sensitivity to AI news. Traders can capitalize on this correlation by focusing on AI tokens, particularly around major AI development announcements. The increased trading volumes and on-chain activity post-announcement indicate a growing interest in AI-driven technologies within the crypto space, presenting potential trading opportunities in the AI/crypto crossover. Monitoring AI-driven trading volume changes will be crucial for identifying future market movements driven by similar technological advancements.

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