Wikipedia, long celebrated as the last “good” corner of the internet, is now facing a sharp decline in readership. The Wikimedia Foundation revealed that Wikipedia traffic drops by around 8% year-over-year, largely due to the rise of AI search summaries and the growing dominance of social video platforms among younger audiences.
Marshall Miller, VP at the Wikimedia Foundation, explained in a recent blog post that new bot-detection updates uncovered inflated numbers earlier this year. “Much of the unusually high traffic in May and June came from bots designed to evade detection,” he wrote. Once these were filtered out, the real numbers painted a concerning picture — fewer humans are visiting Wikipedia.
AI and Social Media Are Changing How We Search
The foundation attributes much of this decline to a broader shift in online behavior. “Generative AI and social media are changing how people seek information,” Miller said. Search engines like Google and Bing now use AI-generated summaries to answer user queries directly, reducing the need to click through to source sites such as Wikipedia.
Meanwhile, platforms like TikTok, Instagram Reels, and YouTube Shorts have become the go-to sources of information for Gen Z and younger millennials. “Younger generations are seeking information on social video platforms rather than the open web,” Miller noted.
Google has disputed claims that its AI summaries are cutting traffic to other sites. However, publishers across the web — including Wikipedia — are reporting similar drops.
Fewer Visits, Fewer Editors, and Funding Risks
While Miller emphasized that Wikipedia’s content still powers much of what people see online, fewer site visits could threaten its ecosystem. “With fewer visits to Wikipedia, fewer volunteers may grow and enrich the content, and fewer individual donors may support this work,” he warned.
That could have ripple effects across the internet, given how widely Wikipedia data is used to train AI models and populate knowledge panels on search platforms.
Wikipedia’s Own AI Experiments
Interestingly, Wikipedia has experimented with AI itself — testing automated content summaries. However, those efforts were paused after editors raised concerns about accuracy and the potential dilution of human curation.
Encouraging Attribution and Awareness
In response to the Wikipedia traffic drops, the foundation is developing a framework to ensure AI and search companies properly credit and link back to Wikipedia. Two internal teams are now focused on attracting new readers and volunteers to help preserve the site’s collaborative spirit.
Miller urged users to “support content integrity and creation” by valuing human-sourced information. “When you search online, click through to the original source,” he wrote. “Remember, the content behind generative AI was created by real people who deserve recognition.”
As AI tools continue reshaping how we consume knowledge, Wikipedia’s future may hinge on a simple truth: even in the age of machine summaries, human curation still matters.