×
Written by
Published on
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

AI data collection faces pushback: Apple’s introduction of Applebot-Extended, a tool allowing websites to opt out of AI training data collection, has sparked a significant response from major online platforms and publishers.

  • Prominent sites including Facebook, Instagram, Craigslist, Tumblr, and several leading news outlets have chosen to block Applebot-Extended, signaling a shift in attitudes towards web crawlers and their role in AI development.
  • Website owners can prevent Applebot-Extended from accessing their content by updating their robots.txt file, a standard method for controlling web crawler access.
  • Recent analyses indicate that 6-7% of high-traffic websites are blocking Applebot-Extended, with news and media outlets leading the charge.

News industry takes a stand: The media sector appears to be at the forefront of the pushback against AI data collection, with a quarter of news websites blocking Applebot-Extended.

  • Comparatively, 53% of news sites block OpenAI’s bot, and 43% block Google-Extended, suggesting a broader trend of resistance to AI training data collection in the news industry.
  • Major publishers like The New York Times, The Financial Times, The Atlantic, Vox Media, USA Today network, and Condé Nast have all opted to block Apple’s AI crawler.
  • This widespread action reflects growing concerns among publishers about the use of their content for AI training without explicit permission or compensation.

Strategic considerations: The decision to block AI crawlers is not solely about protecting content; it also serves as a strategic move for many publishers.

  • Some media organizations are using this as leverage to potentially negotiate partnerships or licensing deals with AI companies.
  • Different publishers are adopting varied approaches, with some implementing blanket bans on all AI bots without partnerships, while others make case-by-case decisions.
  • The New York Times has taken a strong stance, arguing that scraping content for commercial purposes should require explicit permission, not just an opt-out option.

Broader implications for AI and publishing: The widespread adoption of AI bot blocking tools highlights the evolving relationship between content creators and AI companies.

  • The use of robots.txt to control AI data access has become a crucial issue for media executives and publishers, reflecting the growing importance of AI in the digital landscape.
  • This trend could potentially impact the quality and diversity of data available for AI training, possibly affecting the development of future AI models and applications.
  • The situation underscores the need for clearer guidelines and potentially new legal frameworks governing the use of online content for AI training purposes.

Industry-wide impact: The response to Applebot-Extended is indicative of a larger shift in how web content is viewed and valued in the age of AI.

  • As AI technologies become more advanced and integrated into various products and services, the data used to train these systems is increasingly seen as a valuable resource.
  • This development may lead to more formal arrangements between content creators and AI companies, potentially reshaping the economics of online publishing and AI development.
  • The actions of major publishers could inspire smaller websites and content creators to also take steps to protect their data from AI scraping.

Looking ahead: Balancing innovation and rights: The current situation highlights the complex balance between fostering AI innovation and protecting the rights and interests of content creators.

  • As AI continues to advance, finding a mutually beneficial arrangement between AI companies and content creators will be crucial for sustainable development in both sectors.
  • This may lead to new business models, such as licensing agreements for AI training data, or the development of more sophisticated content protection technologies.
  • The outcome of this ongoing debate could have far-reaching consequences for the future of AI development, online publishing, and digital content creation as a whole.
Major Sites Are Saying No to Apple’s AI Scraping

Recent News

Google’s AI Tool ‘Food Mood’ Will Help You Create Mouth-Watering Meals

Google's new AI tool blends cuisines from different countries to create unique recipes for adventurous home cooks.

How AI is Reshaping Holiday Retail Shopping

Retailers embrace AI and social media to attract Gen Z shoppers, while addressing economic concerns and staffing challenges for the upcoming holiday season.

How AI Could Widen — or Bridge — the Global Inequality Gap

The technology's impact on social disparity hinges on ethical development, equitable access, and proactive regulation.