Google’s Gary Illyes confirmed in 2025 that AI-generated content is acceptable as long as it meets high-quality standards. He clarified that Google’s policy does not specifically require content to be “human-created” but rather “human-curated.”
This means editorial oversight must be applied to AI content to ensure it is factually correct, accurate, and original before it gets published or used for training AI models.
The core focus is on content quality, regardless of whether it was written by humans or AI. Illyes emphasized that content that is too similar to existing material or contains inaccuracies poses risks like bias and misinformation, which Google aims to avoid in its search index and AI training data.
Human review is vital to maintaining quality in AI content. However, Google does not recommend merely labeling content as “human-reviewed” on webpages because this is not a trustworthy signal by itself.
The key is for publishers to actively verify and edit AI-generated content before publishing it. By doing so, they help reduce the chance of spreading false information or low-quality repeated content.
Illyes also spoke about the grounding process in Google’s AI models, where the AI uses search data backed by Google’s index to generate reliable answers.
This combination of AI generation and human oversight is crucial to building trust and avoiding the risks associated with unchecked AI content production.
In summary, Google encourages the use of AI tools for content creation as long as quality, uniqueness, and factual accuracy are maintained through editorial review.
Publishers should avoid duplicate content and false information to prevent penalties or poor search rankings. Successfully balancing AI speed with human validation remains the key strategy for aligning with Google’s evolving content policies in 2025 and beyond.
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