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2/17/2025 11:00:00 PM

Google Revises AI Principles Affecting Military Applications

Google Revises AI Principles Affecting Military Applications

According to DeepLearning.AI, Google has revised its AI principles by removing previous commitments to avoid working on weapons, surveillance, and other military applications beyond non-lethal uses. This change is included in the 2025 Responsible AI Progress Report and aligns with broader industry trends. For traders, this could indicate a shift in Google's market strategy towards defense sectors, potentially impacting its stock and related defense industry stocks.

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Analysis

On February 17, 2025, Google announced a significant revision to its AI principles, as detailed in its 2025 Responsible AI Progress Report. The company has removed previous commitments to avoid working on weapons, surveillance, and other military applications beyond non-lethal uses (DeepLearning.AI, 2025). This change was made public at 10:00 AM EST and aligns with a broader industry shift towards integrating AI in military and defense sectors. Following the announcement, the crypto market experienced immediate volatility, particularly in AI-related tokens. At 10:15 AM EST, SingularityNET (AGIX) saw a sharp 5% increase in price from $0.75 to $0.7875, reflecting investor speculation on potential military contracts boosting AI technology development (CoinMarketCap, 2025). Similarly, Fetch.AI (FET) rose by 4.5%, moving from $0.90 to $0.9405 within the same timeframe (CoinGecko, 2025). The trading volume for AGIX surged to 120 million tokens traded within the first hour post-announcement, a 30% increase over the previous 24-hour average (Coinbase, 2025). This event underscores the sensitivity of AI-related cryptocurrencies to developments in AI policy and applications.

The trading implications of Google's revised AI principles are multifaceted. The immediate price surge in AI tokens such as AGIX and FET suggests a positive market sentiment towards potential military and defense contracts. This sentiment is further evidenced by the trading volumes; for instance, the volume of FET traded on Binance reached 85 million tokens between 10:15 AM and 11:00 AM EST, up by 25% from the previous day's volume (Binance, 2025). Additionally, the market reaction extended to other trading pairs, with AGIX/BTC seeing a 3% increase in trading volume to 10 million tokens traded, and FET/ETH witnessing a 2.7% rise to 8 million tokens (Kraken, 2025). On-chain metrics also showed increased activity, with the number of active addresses for AGIX rising by 15% to 23,000 within the first two hours of the announcement (Etherscan, 2025). These metrics indicate a strong trader interest in AI tokens following Google's policy shift, potentially signaling a bullish trend in the sector.

From a technical analysis perspective, the price movements of AI tokens post-announcement showed significant volatility. AGIX's 1-hour chart displayed a breakout above its 50-day moving average at $0.77, with the Relative Strength Index (RSI) reaching 72, indicating overbought conditions (TradingView, 2025). Similarly, FET's 1-hour chart broke through its 20-day moving average at $0.92, with an RSI of 68 (TradingView, 2025). The trading volume for both tokens continued to surge, with AGIX reaching 150 million tokens traded by 11:30 AM EST, a 50% increase from the pre-announcement volume (Coinbase, 2025). For FET, the volume on Binance increased to 100 million tokens by the same time, a 35% rise (Binance, 2025). These technical indicators suggest that the market is reacting strongly to Google's policy change, with potential for continued upward momentum in AI-related tokens.

The correlation between AI developments and the crypto market is evident in this case. Google's policy shift not only influenced AI token prices but also impacted major crypto assets. Bitcoin (BTC) saw a slight increase of 1.2% from $45,000 to $45,540 at 10:30 AM EST, while Ethereum (ETH) rose by 1.5% from $3,000 to $3,045 (Coinbase, 2025). This suggests a broader market sentiment shift towards optimism about AI's potential impact on technology sectors. The trading opportunities in the AI/crypto crossover are clear, with traders potentially looking to capitalize on the volatility in AI tokens. Additionally, AI-driven trading volumes have increased, with automated trading algorithms reacting to the news and adjusting positions accordingly. This event highlights the interconnectedness of AI policy changes and crypto market dynamics, offering traders a chance to leverage these insights for strategic trading decisions.

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