According to the source, OpenAI and the University of Pennsylvania found that 80% of U.S. workers have at least 10% of their tasks exposed to large language models and 19% have at least 50% of tasks exposed, with higher exposure in finance, legal, and administrative roles (source: OpenAI and University of Pennsylvania, 2023, GPTs are GPTs study). The IMF estimated in 2024 that around 40% of global employment is exposed to AI, rising to about 60% in advanced economies, implying faster diffusion and uneven labor outcomes (source: International Monetary Fund, 2024, GenAI and Jobs analysis). For crypto traders, AI adoption headlines historically funnel attention to AI-linked tokens such as RNDR, FET, and GRT, which are tracked under the AI and Big Data category by major market data providers (source: Binance Research, 2024 sector narratives; source: CoinMarketCap AI and Big Data category, 2024). Tactically, traders can monitor AI narrative catalysts and relative strength in AI tokens into macro labor prints and Big Tech AI events, focusing on liquidity, funding rates, and momentum signals that have driven prior narrative rotations (source: Binance Research, 2024 sector rotation frameworks).