Recent observations suggest that artificial intelligence (AI), particularly generative models like ChatGPT, is subtly but significantly infiltrating various aspects of life, a phenomenon some are calling "creeping AI."
This trend is becoming increasingly evident in both everyday behavior and financial markets, with intriguing — and sometimes amusing — consequences.
Take the noticeable dip in ChatGPT usage, which dropped by approximately 25-30% at the start of school summer vacations in the U.S., as reflected in usage graphs. It’s a quirky reminder of how deeply AI has woven itself into daily routines, with students likely being a key driver of its activity.
On a more surprising note, Sweden’s Prime Minister Ulf Kristersson recently admitted to leveraging AI platforms to analyze political decisions, blending cutting-edge technology with governance in a way that borders on the comical.
Perhaps most fascinating is the impact of AI on financial markets. A recent study explored what happens on stock exchanges during ChatGPT outages. During these "down times," trading activity noticeably declines, especially among stocks tied to recent news or heavily traded by short-lived institutional funds—those that frequently shift capital between assets. During such periods, price movements slow, carrying less new information, with reduced short-term influence on prices and yield fluctuations. It’s as if the absence of ChatGPT dims the "smart" trades that rely on its insights.
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Conversely, when ChatGPT is operational, markets over the long term appear to process information more effectively. Prices better reflect news and facts, suggesting a more informed trading environment. The takeaway is clear: a significant portion of investors now actively employs generative AI, including ChatGPT, in their work, and this is measurably shaping trading patterns and asset prices.
This creeping influence of AI highlights its growing role as an indispensable tool, subtly steering both societal and economic landscapes. As its integration deepens, the line between human decision-making and AI assistance continues to blur, raising questions about the future of markets and governance alike.
