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A collection of accounts from independent web development educators and DevRel professionals showing how generative AI has collapsed the market for courses, ebooks, and technical writing—depressing revenue, driving creators offline, and flooding the web with AI crawler traffic that strips ad income.
AI crawlers are causing significant CPU load on kernel.org by inefficiently scraping git commits for training data, consuming more resources than all legitimate access combined.
LLMagnet is a product that enhances WordPress site visibility to AI agents by tracking AI crawler visits, generating AI-friendly data like llms.txt, and improving AI accessibility.
Uncontrolled AI crawlers from Meta and Alibaba nearly crashed a volunteer-run LGBT history archive, highlighting the risks of aggressive web scraping by tech giants.
TIME is serving AI crawlers a stripped-down markdown version of its website with embedded sponsor content and ad-tracking, while humans get the full HTML page, revealing a hidden ad market targeting AI bots.
A website reports that 80% of its traffic comes from AI crawlers, with only two actual referrals to show for it.
A study of robots.txt files from top 10,000 sites reveals that most block AI training crawlers like GPTBot while largely ignoring answer-time bots such as OAI-SearchBot, highlighting a blind spot in current web governance for AI.
Cloudflare announces a new default policy to block mixed-use web crawlers from ad-hosted pages starting September 2026, aiming to force AI companies to pay for publishers' content and distinguish search from AI training.
An analysis of 50 SaaS websites reveals common failures in AI readiness: poor crawler access, vague homepage copy, and missing structured data. The article argues that as AI tools become a primary channel for product discovery, SaaS companies need to optimize their sites for AI visibility.