generative AI

What’s one data privacy shift or regulation that will most reshape digital advertising in 2026 – and who will be most unprepared for it?

As brand safety standards evolve and oversight shifts from platforms to third-party vendors, Brittany Scott, SVP of global partnerships at Zefr, explains what the rise of generative AI – and Meta’s decision to step away from MRC brand safety audits – means for the future of media quality.

The generative AI trend generated endless hot takes this year, but the ad industry also had plenty to say about growing competition between DSPs and SSPs. Here are AdExchanger’s top 10 most popular guest columns of 2025 and why they resonated.

Private equity finds ecommerce publishers aren’t worth what they used to be; Salesforce rethinks its faith in agentic AI; and CBS News accidentally encourages people to pirate its content.

YouTube TV launches new skinny TV bundles; anti-ad Substack is testing ads; Google strikes new publisher licensing deals to feed its AI.

Almost everything in AI feels big. But are you looking at the next Gangnam Style or the birth of a new industry? Here’s how to assess whether an AI vendor is likely to matter in two years.

Instacart tried dynamic pricing for groceries; AI companies aim for an open-source agentic AI standard; and Tinder digs into users’ camera rolls for data.

The Economist is charting its own course in the age of AI, says Nada Arnot, the 182-year-old publication’s EVP of marketing. It’s steering clear of licensing deals and lawsuits and partnering with Claude on its own terms.

For years, MFA was a mostly web-based problem. Now, generative AI has supercharged the made-for-advertising model, and it’s infecting social media feeds and vertical video platforms.

There’s a paradox at play in how marketers are adopting artificial intelligence.

Eighty-seven percent of US advertisers say they plan to increase AI usage over the next 12 months. But only 45% feel confident in their understanding of how AI-powered technologies work. That 42-point gap is an indicator of early friction in AI adoption.