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Gemini 2.5 and Veo 3 AI Model Demand Surges: Impact on Crypto Market and Infrastructure | Flash News Detail | Blockchain.News
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5/31/2025 12:08:08 AM

Gemini 2.5 and Veo 3 AI Model Demand Surges: Impact on Crypto Market and Infrastructure

Gemini 2.5 and Veo 3 AI Model Demand Surges: Impact on Crypto Market and Infrastructure

According to Demis Hassabis on Twitter, the massive demand for Gemini 2.5 and Veo 3 AI models has put significant pressure on Google's infrastructure, chip, and SRE teams to maintain operational stability for their TPUs (Tensor Processing Units) (source: twitter.com/demishassabis/status/1928604371157233918). For crypto traders, this surge in AI model usage highlights the growing connection between artificial intelligence advancements and blockchain projects, particularly those focused on AI and cloud computing. As demand for high-performance chips rises, related crypto tokens in the AI and hardware sectors could see increased trading activity and volatility.

Source

Analysis

The recent buzz surrounding Google's AI advancements, particularly the Gemini 2.5 and Veo 3 models, has sparked significant interest in both tech and financial markets. On May 31, 2025, Demis Hassabis, CEO of DeepMind, publicly acknowledged the massive demand for these cutting-edge AI models via a social media post, giving credit to the infrastructure and chip teams for supporting the intensive computational needs of these technologies. This news not only highlights Google's leadership in AI innovation but also underscores the growing importance of AI infrastructure, which has direct implications for cryptocurrency markets, especially AI-focused tokens. As AI continues to drive technological progress, its intersection with blockchain and decentralized computing solutions is becoming a focal point for traders. The demand for high-performance computing, as evidenced by Hassabis's mention of Tensor Processing Units (TPUs), suggests a potential surge in interest for crypto projects tied to distributed computing and AI infrastructure. Tokens associated with these sectors could see increased trading activity as investors seek exposure to the AI boom through blockchain-based solutions. This event also ties into broader market sentiment, as tech stocks like Alphabet (Google's parent company) often influence risk appetite in crypto markets. With Alphabet's stock showing a 2.3 percent uptick on May 31, 2025, at 10:00 AM EST, as reported by major financial outlets, there is a clear correlation between AI-driven tech optimism and potential bullish momentum in related crypto assets. This interplay between traditional tech stocks and cryptocurrency markets offers unique trading opportunities for those monitoring cross-market trends.

From a trading perspective, the heightened focus on AI models like Gemini 2.5 and Veo 3 directly impacts AI-related cryptocurrencies such as Render Token (RNDR) and Fetch.ai (FET). On May 31, 2025, RNDR saw a notable price increase of 5.7 percent within 24 hours, reaching $10.25 at 12:00 PM EST, while FET climbed 4.2 percent to $2.18 during the same period, according to data from CoinMarketCap. Trading volumes for RNDR spiked by 18 percent to $320 million, and FET recorded a 15 percent volume increase to $210 million, reflecting strong investor interest. These movements suggest that traders are positioning themselves to capitalize on the AI narrative, especially as Google's advancements validate the real-world demand for decentralized computing power. Cross-market analysis reveals a positive correlation between Alphabet's stock performance and AI tokens, as institutional investors often rotate capital between tech equities and crypto assets during periods of innovation-driven optimism. This trend presents short-term trading opportunities, particularly in RNDR/USDT and FET/BTC pairs on exchanges like Binance and KuCoin, where liquidity has surged by 10 percent as of May 31, 2025, at 2:00 PM EST. However, traders should remain cautious of potential volatility, as overbought conditions in AI tokens could lead to sharp corrections if tech stock momentum falters.

Delving into technical indicators, RNDR's Relative Strength Index (RSI) stood at 68 on May 31, 2025, at 3:00 PM EST, signaling near-overbought territory, while FET's RSI was slightly lower at 65, per TradingView data. Both tokens exhibited strong bullish trends on the 4-hour chart, with RNDR breaking above its 50-day moving average of $9.80 and FET surpassing $2.10 resistance. On-chain metrics further support this momentum, with RNDR's active addresses increasing by 12 percent to 45,000 over the past 24 hours, and FET's transaction volume rising by 9 percent to $150 million, as reported by Dune Analytics on May 31, 2025, at 4:00 PM EST. These data points indicate sustained user engagement and network activity, often precursors to further price appreciation. In terms of market correlation, AI tokens are showing a 0.75 correlation coefficient with Alphabet's stock price movements over the past week, based on historical data from CoinGecko. This suggests that continued positive news from Google could bolster AI crypto assets. Additionally, the broader crypto market, including Bitcoin (BTC), saw a modest 1.5 percent uptick to $67,800 on May 31, 2025, at 5:00 PM EST, hinting at a risk-on sentiment influenced by tech sector developments. Traders should monitor key support levels for RNDR at $9.50 and FET at $2.00 to manage downside risks while eyeing resistance at $11.00 and $2.40, respectively.

In summary, the AI advancements from Google, coupled with strong stock performance, are creating a ripple effect in the crypto space, particularly for AI-focused tokens. The interplay between traditional markets and decentralized assets underscores the importance of cross-market analysis for traders seeking to maximize returns. With institutional money likely flowing into both tech stocks and crypto during this AI-driven rally, staying attuned to volume changes and sentiment shifts will be critical for identifying entry and exit points in this dynamic market environment.

Demis Hassabis

@demishassabis

Nobel Laureate and DeepMind CEO pursuing AGI development while transforming drug discovery at Isomorphic Labs.