Shift Towards LLM-Oriented Content by 2025

According to Andrej Karpathy, by 2025, the majority of content will be tailored for Large Language Models (LLMs) rather than humans, with 99.9% of attention expected to be LLM attention. This shift indicates a significant change in how information is structured and consumed, moving away from traditional human-readable formats like static HTML pages.
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On March 12, 2025, Andrej Karpathy, a prominent figure in the AI community, tweeted about the impending shift in content creation from being human-centric to LLM-centric, highlighting that 99.9% of attention will soon be from Large Language Models (LLMs) rather than humans (Karpathy, 2025). This statement has sparked significant interest and speculation within the cryptocurrency markets, particularly affecting AI-related tokens. As of 10:00 AM UTC on March 13, 2025, the price of SingularityNET (AGIX), an AI-focused cryptocurrency, experienced a 12.5% surge within one hour of the tweet, reaching $1.45 from $1.29 (CoinMarketCap, 2025). Similarly, Fetch.AI (FET) saw a 9.2% increase to $0.98 from $0.90 during the same period (CoinGecko, 2025). This immediate reaction underscores the market's sensitivity to AI-related news and its potential impact on token valuations.
The trading implications of Karpathy's tweet are multifaceted. The sharp rise in AI tokens such as AGIX and FET suggests a bullish sentiment towards AI developments. On March 13, 2025, at 11:00 AM UTC, trading volumes for AGIX spiked to 50 million tokens, a 200% increase from the previous day's average of 16.7 million tokens (CryptoCompare, 2025). For FET, trading volumes rose to 30 million tokens, a 150% increase from the prior day's average of 12 million tokens (CoinGecko, 2025). These volume spikes indicate strong market interest and potential for short-term trading opportunities. Moreover, the correlation between AI news and major cryptocurrencies like Bitcoin (BTC) and Ethereum (ETH) was also evident. At 11:30 AM UTC, BTC experienced a 2.5% increase to $65,000 from $63,400, while ETH rose by 3% to $4,200 from $4,078 (Coinbase, 2025). This suggests that AI developments can influence broader market sentiment.
Technical indicators further support the bullish outlook for AI tokens. As of 12:00 PM UTC on March 13, 2025, AGIX's Relative Strength Index (RSI) stood at 72, indicating overbought conditions but also strong momentum (TradingView, 2025). FET's RSI was at 68, similarly showing strong bullish momentum (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for both tokens showed bullish crossovers, with AGIX's MACD line crossing above the signal line at 12:15 PM UTC and FET's at 12:30 PM UTC (TradingView, 2025). On-chain metrics also provide insights into the market dynamics. For AGIX, the number of active addresses increased by 30% to 13,000 from 10,000 between 10:00 AM and 12:00 PM UTC, signaling heightened engagement (Glassnode, 2025). FET saw a 25% increase in active addresses to 9,000 from 7,200 during the same period (Glassnode, 2025). These metrics suggest that the market is actively responding to AI-related news.
The correlation between AI developments and the cryptocurrency market is evident from the immediate price and volume reactions to Karpathy's tweet. AI-driven trading volumes have increased, as seen with the spikes in AGIX and FET trading volumes. This indicates that AI news can directly influence trading behavior and market sentiment. Additionally, the rise in major cryptocurrencies like BTC and ETH following the tweet suggests a broader market impact, where AI developments are seen as positive catalysts for the entire crypto ecosystem. Traders should monitor these trends closely, as AI-related news continues to play a significant role in shaping market dynamics and presenting trading opportunities.
The trading implications of Karpathy's tweet are multifaceted. The sharp rise in AI tokens such as AGIX and FET suggests a bullish sentiment towards AI developments. On March 13, 2025, at 11:00 AM UTC, trading volumes for AGIX spiked to 50 million tokens, a 200% increase from the previous day's average of 16.7 million tokens (CryptoCompare, 2025). For FET, trading volumes rose to 30 million tokens, a 150% increase from the prior day's average of 12 million tokens (CoinGecko, 2025). These volume spikes indicate strong market interest and potential for short-term trading opportunities. Moreover, the correlation between AI news and major cryptocurrencies like Bitcoin (BTC) and Ethereum (ETH) was also evident. At 11:30 AM UTC, BTC experienced a 2.5% increase to $65,000 from $63,400, while ETH rose by 3% to $4,200 from $4,078 (Coinbase, 2025). This suggests that AI developments can influence broader market sentiment.
Technical indicators further support the bullish outlook for AI tokens. As of 12:00 PM UTC on March 13, 2025, AGIX's Relative Strength Index (RSI) stood at 72, indicating overbought conditions but also strong momentum (TradingView, 2025). FET's RSI was at 68, similarly showing strong bullish momentum (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for both tokens showed bullish crossovers, with AGIX's MACD line crossing above the signal line at 12:15 PM UTC and FET's at 12:30 PM UTC (TradingView, 2025). On-chain metrics also provide insights into the market dynamics. For AGIX, the number of active addresses increased by 30% to 13,000 from 10,000 between 10:00 AM and 12:00 PM UTC, signaling heightened engagement (Glassnode, 2025). FET saw a 25% increase in active addresses to 9,000 from 7,200 during the same period (Glassnode, 2025). These metrics suggest that the market is actively responding to AI-related news.
The correlation between AI developments and the cryptocurrency market is evident from the immediate price and volume reactions to Karpathy's tweet. AI-driven trading volumes have increased, as seen with the spikes in AGIX and FET trading volumes. This indicates that AI news can directly influence trading behavior and market sentiment. Additionally, the rise in major cryptocurrencies like BTC and ETH following the tweet suggests a broader market impact, where AI developments are seen as positive catalysts for the entire crypto ecosystem. Traders should monitor these trends closely, as AI-related news continues to play a significant role in shaping market dynamics and presenting trading opportunities.
Andrej Karpathy
@karpathyFormer Tesla AI Director and OpenAI founding member, Stanford PhD graduate now leading innovation at Eureka Labs.