Web development educators report that generative AI has devastated their business models and income. Independent trainers, course creators, and technical writers like Baldur Bjarnason, Axel Rauschmayer, and Josh W. Comeau describe plummeting revenue, reduced audience engagement, and unauthorized use of their content by AI systems, forcing many to leave the field or take lower-paid work.
A survey by Japan's CESA found that 85.8 percent of Japanese game developers are using generative AI, up from 51 percent last year, primarily for asset generation and administrative tasks like ChatGPT. While most developers report benefits in production time and cost reduction, only 147 of respondents noted improvements to end-user experience, and companies are increasingly establishing policies governing AI use in response to player concerns.
A study of over 1,100 communication scholars across 77 countries reveals that nearly 70% use generative AI in research despite widespread concerns about its appropriateness, creating a "transparency paradox" where researchers fear disclosing AI use will damage credibility. The lack of institutional guidelines has led to "AI shame" and calls for a disclosure-positive culture with clear ethical standards.