Last summer YouTube tested an AI-driven approach that selected clips from creators’ videos to answer user queries — for example, "best beaches in Hawaii" — and presented them as slideshow-style answers. Traditionally, YouTube search returned a ranked list of videos based on multiple signals, sometimes including a user’s past preferences; viewers had to click a video to get the information.
The AI slideshows instead surfaced information based on the content inside videos, regardless of viewers’ habits or affinity for particular creators. That approach proved controversial because it pushed creators into the background and foregrounded the facts and footage they had produced. This search variant launched for U.S. YouTube Premium subscribers in June 2025, was expanded in August, and then quietly disappeared.
"People just didn’t like it," said Emily Moxley, YouTube’s vice president of product management. "Viewers want to hear from creators... the story and the information that creators can supply is something that we can’t replace."
Finding balance in the AI era
Like many media companies, YouTube faces a dilemma: adopt AI aggressively and risk undermining its core business, or move cautiously and risk being disrupted by AI-native competitors. After the backlash, YouTube redesigned its approach and rolled out a new AI-enhanced search feature called Ask YouTube. The company says this iteration improves search without disintermediating viewers from creators.
"We’re seeing a lot more of these complex queries where people are clearly sharing the full extent of their underlying intent," said Sandie Gong, the product lead for Ask YouTube. "We’re seeing a lot more learning queries, more how-to queries."
Users can still browse feeds and viral Shorts, but they can now ask detailed questions — for instance how to repair a specific garage-door opener model or what the view looks like from a particular seat inside the Sphere in Las Vegas. Instead of delivering an AI-written summary, Ask YouTube takes users to the exact moment in a creator’s video that answers the query.
"What we’ve always seen in search is that efficiency is at a premium," Moxley said. "If we aren’t efficient enough, people will do that search elsewhere... they’ll just find it in text, they’ll find it on the web."
Technology, monetization and creators
AI can increase the value of creator content in multiple ways: videos can be used to train models relevant for robotics and autonomous vehicles, and AI can generate new videos from scratch. Those possibilities, however, risk reducing the flow of new human-made content — which, so far, viewers prefer.
YouTube sits on a vast trove of material: roughly 20 billion videos uploaded, almost all by human creators, whom YouTube has paid more than $100 billion over the past four years. The company generated about $62 billion in revenue last year and recently posted one of its strongest quarters, with advertising revenue up 13% to $11.1 billion.
Ask YouTube originated in part from YouTube.com/learning, a curated collection designed as a virtual classroom. Product teams noticed people were using it for non-learning tasks — examples included planning a seven-day trip to San Francisco or jokingly asking how to survive a zombie apocalypse. A prototype attracted executive attention when a user traveling to the Sphere in Las Vegas asked, "I’m afraid of heights. What is it like in section 400 of the Sphere?" and the system returned a video shot from that exact seat. "It can describe it to you in text, but you can’t see it and feel what it’s like to be there," Gong said of chatbot competitors.
Ask YouTube debuted at Google I/O in May for YouTube Premium subscribers and reached U.S. desktop users this month, with mobile and TV rollouts planned soon.
How Ask YouTube works and its limits
Under the hood, Ask YouTube breaks a complex query into smaller subqueries, fans them out across YouTube’s existing search systems, organizes the results, and jumps to the precise moment in a video that contains the answer. The AI supplies only the connective language; merging clips into a single AI-generated answer video is off the table. Ads remain unchanged; Moxley declined to say whether the feature might later integrate with Google Search or Gemini.
Users are already probing the feature’s limits. Moxley’s favorite example involved someone searching for goggles that highlight a green pickleball while darkening everything else — a niche request that turned out to be feasible. Others ask Ask YouTube to resurface videos from their own watch history; that capability doesn’t currently work but could be added. "There’s no technical reason it can’t," Moxley said.
Ask YouTube views count toward creator monetization, and an informal "Ask YouTube SEO" guidance industry has emerged. AI-generated videos do not receive special treatment in results. "We want to give people the videos that they want to watch," Gong said, "however it’s created."
What this means for creators
Creators fear that low-grade AI output could displace their work. But YouTube’s own experiments suggest some reassurance: audiences rejected the stitched-together AI slideshows, indicating they value hearing from human creators. That aligns with a broader observation that while people can sometimes prefer algorithmically optimized content, they are attuned to authenticity and human presence.
Alot of creators and artists — from Hank Green to Nick Cave — have argued that audiences seek a human relationship that algorithms and data alone cannot replicate. YouTube’s pivot to Ask YouTube illustrates an attempt to preserve those relationships while still leveraging AI to make searching more efficient — a test case for how platforms might balance automation and human-driven content going forward.
