On February 14, 2025, Openai announced the introduction of Deep Research, an AI-driven agent designed to search the web and generate detailed research reports (Deeplearning.ai, 2025 ). This tool is available only to ChATGPT Pro users and leverages OpenAI’s O3 model to process information, clarify questions, and generate comprehensive reports. The announcement came in a tweet by Deeplearning.ai at 9am on EST, which led to an immediate market response among the cryptocurrency sector, particularly AI-related tokens (Twitter, 2025). According to data from CoinMarketCap (CoinmarketCap, 2025), the price of singularitynet (AGIX) rose 12% to $0.85 at 10am on EST. At the same time, fetch.ai (fet) experienced a 9% increase, trading at $1.20 at 10am (Coingecko, 2025). Agix’s trading volume was spiked on 50 million tokens traded within the first hour, a significant increase from the average 20 million tokens the previous day (Cryptocompare, 2025). This surge in volume and prices reflects the positive market response to advances in AI technology and the potential impact on AI-driven cryptocurrencies.
The impact of Openai’s “Deep Research” publication on transactions is substantial. The immediate price rise of AI-related tokens such as AGIX and FETs suggests strong market sentiment towards the integration of AI technologies within the cryptocurrency ecosystem. For example, AGIX trading volumes increased 150% from the previous day’s average, indicating an increase in market interest and liquidity (Cryptocompare, 2025). Furthermore, the 24-hour trading volume of AGIX/BTC pairs at Binance increases by 120%, moving from 10,000 BTC to 22,000 BTC to 22,000 btc (Binance, 2025). This surge in trading activity across multiple trading pairs highlights the market’s confidence in AI-driven tokens after the announcement. Furthermore, AGIX on-chain metrics increased active addresses by 30% within the first hour, suggesting wider participation in the network (Etherscan, 2025). The correlation between advances in AI and movements in the cryptocurrency market is clear, with AI-related tokens experiencing substantial prices and volume surges in response to the news.
Technical indicators for AI-related tokens such as AGIX and FETs reflect bullish trends following the publication of “deep research.” Agix’s relative strength index (RSI) was 65 years old before the announcement, soaring to 78 by 10:30am on EST, indicating not only terms of acquisition but also strong purchase pressure (TradingView, 2025) . Similarly, the FET’s moving average convergence divergence (MACD) showed a bullish crossover at 10:15am EST, with the MACD line crossing over the signal line, suggesting potential upward momentum in the short term.かったいです (Coinigy, 2025). The trading volume of FETs in Kucoin’s FET/USDT pair increased by 80% to 2.5 million tokens traded by 11am (Kucoin, 2025). Metrics on the chain of FETs show a 25% increase in transaction volume within the first hour, further supporting bull market sentiment (BlockHeair, 2025). These technological and chain metrics highlight the positive market response to AI development and the potential to drive further growth of AI-related cryptocurrencies.
The correlation between AI development and the cryptocurrency market is evident in the immediate market response to Openai’s “deep research” publication. AI-related tokens such as AGIX and FETs have experienced significant price and volume rises, reflecting market confidence in the integration of AI technologies within the cryptocurrency ecosystem. The surge in trading volumes across multiple trading pairs and bullish technical indicators further support the market’s positive sentiment towards AI-driven tokens. As AI continues to evolve, it is likely that it will grow its impact on the cryptocurrency market, offering potential trading opportunities to investors interested in AI crypto crossovers.
