Advertising has always been an industry defined by change, but today AI is accelerating that change faster than ever.
Meaningful updates are launching almost weekly, as platforms are redefining how ads are created, targeted, and measured with the bounds of consumer discovery continue to shift in real time. The marketers who can keep up won’t just adapt, but define what’s next.
In the past month alone, OpenAI expanded its advertising platform, Google introduced new AI transparency standards, and AI search continued reshaping brand visibility. Together, these updates offer a glimpse into where advertising is headed and what marketers should be preparing for now.
OpenAI Brings First-Party Audience Targeting to ChatGPT Ads
OpenAI recently announced custom audience targeting for ChatGPT Ads, marking one of the platform’s biggest advertising updates to date. According to Launchcodex, advertisers can now upload first-party customer lists, including email addresses and phone numbers, to build custom audiences just as they do on Google and Meta.
The announcement is part of OpenAI’s rapid expansion into advertising. In just a few months, ChatGPT Ads has added self-serve campaign management, conversion measurement, product catalogs, and now first-party audience targeting, bringing it much closer to the capabilities marketers expect from platforms like Google and Meta. With ChatGPT surpassing 900 million weekly active users in June, OpenAI is rapidly building the infrastructure to compete with established advertising platforms. While advertiser adoption remains in its early stages, the direction is clear: ChatGPT is evolving into a serious advertising platform.
Google Introduces AI Disclosure Labels for Ads
Google recently introduced “How this ad was made”, a new transparency feature that allows users to see whether an ad was created or edited using AI. The label appears across Search, YouTube, and Discover and can be accessed through the three-dot menu or info icon on any ad.
Google will automatically label ads created with its own AI tools, while advertisers using third-party platforms will be expected to disclose AI-generated content themselves. It’s another sign that AI transparency is becoming standard practice. The rollout comes just weeks before the EU AI Act’s transparency requirements take effect on August 2, alongside increasing state-level legislation around AI-generated advertising. Together, these developments signal that AI disclosure is quickly becoming an industry expectation, making transparent AI workflows increasingly important for brands.
Google Is Changing More Than How Consumers Search. It’s Changing Discovery.
Search is no longer limited to surfacing content, but now has extended to creating it. As part of its “Google Images 25th anniversary update”, Google announced that AI Overviews can now generate images directly within search results. Rather than pulling an existing image from the web, the platform can create entirely new visuals from a user’s prompt, fundamentally changing how consumers discover products through search.
For brands, this represents a shift in product discovery. Rather than surfacing existing photography, Google can now generate its own interpretation of a product or category. According to analysis from Digital Applied, those images don’t include publisher attribution or a path back to the source, giving brands less influence over how they’re represented in search. Just as AI Overviews introduced zero-click search for text, this update extends that experience to visual content.
AI-generated results aren’t always accurate. A BBC study, cited by eMarketer, found Gemini’s AI-generated news summaries contained errors 60% of the time. As AI becomes a larger part of product discovery, marketers will need to think beyond traditional SEO and focus on how AI represents their brands.
Looking Ahead
While each of these announcements are independent, together, they point to the same trend.
AI is becoming the foundation of modern advertising, reshaping how brands reach consumers, how campaigns are managed, and how products are discovered. The challenge for marketers isn’t simply adopting AI, but understanding the changes that will have the biggest impact on their businesses.
The marketers who stay curious, experiment early, and adapt quickly will be best positioned for what’s next.
