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Google Will Tell Users When AI Was Used To Create Ads

Google is introducing a new consumer-facing feature designed to help users identify when an ad has been created or altered using artificial intelligence.

The update reflects AI’s growing role in digital advertising, where marketers increasingly use the technology to generate creative assets, stage products in different environments and reduce the cost of traditional e-commerce photography. As those capabilities expand, so do concerns about transparency, particularly when consumers cannot easily distinguish between authentic and AI-generated product images.

Bringing More Transparency To Ad Disclosures

Google has long prohibited deceptive advertising, but until now, disclosure requirements for AI-generated or AI-edited content were largely limited to election ads. The company is now extending that transparency to mainstream consumer advertising through its My Ad Center panel, which is accessible globally from the three-dot menu or information icon on ads shown in Google Search, YouTube and Google Discover.

The panel already gives users the ability to block or report ads, understand why they are seeing a particular promotion, and learn more about the advertiser. With the new update, users will also see a section labeled “How this ad was made,” which will reveal whether AI played a role in producing the creative.

What Advertisers Need To Know

According to Google, ads created with its own generative AI advertising tools will automatically include the disclosure. For ads produced using other tools, advertisers will need to indicate whether AI was involved through a new control in the ad workflow.

Google also said it will not independently verify whether externally created ads used AI, meaning the system relies on advertiser disclosure rather than platform-side detection. In certain markets, additional labeling may be applied to comply with local regulations.

A Small Label With Big Implications

The update may appear modest, but it reflects a broader shift in how digital platforms are responding to generative AI. As AI tools become more deeply integrated into marketing workflows, disclosure is emerging as an increasingly important part of maintaining consumer trust.

For advertisers, the change introduces another transparency requirement alongside the growing use of AI in creative production. For Google, it represents another step toward balancing the adoption of generative AI with greater visibility into how advertising content is produced.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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