According to @casey_lau, bookstores and magazines in Japan are carrying many practical guides on generative AI covering prompt engineering and creative use cases, indicating widespread consumer-facing education availability (Source: @casey_lau on X, Jan 10, 2026). According to @casey_lau, one highlighted title is published by SoftBank’s publishing arm, showing corporate-backed distribution of GenAI learning materials (Source: @casey_lau on X, Jan 10, 2026). For traders, this is a verified datapoint of growing GenAI education supply in Japan, with no direct mention of listed equities or crypto assets and thus no explicit price catalyst identified in the source (Source: @casey_lau on X, Jan 10, 2026).

According to @DeepLearningAI, OpenAI analyzed 1.58 million messages across 1.1 million anonymized ChatGPT conversations and found that most messages are now personal rather than work-related, quantifying a shift toward consumer use cases (source: DeepLearning.AI citing OpenAI, Oct 1, 2025). According to @DeepLearningAI, the user base now skews more female than male, and users aged 18–25 generated 46 percent of messages, highlighting Gen-Z dominance in engagement (source: DeepLearning.AI citing OpenAI, Oct 1, 2025). According to @DeepLearningAI, the top intents were practical guidance at 28.3 percent, writing help at 28.1 percent, and information seeking at 21.3 percent, providing a ranked breakdown of demand drivers (source: DeepLearning.AI citing OpenAI, Oct 1, 2025). For trading, these verified usage distributions offer a current benchmark for consumer AI demand that traders can incorporate when assessing AI-exposed equities and monitoring AI-narrative crypto sentiment around product engagement trends (source: DeepLearning.AI reporting the OpenAI study, Oct 1, 2025).