United States
Contact Us

News and Insights

MEDIA PULSE – SEPTEMBER 2026

September 9, 2026

Rapid AI integration and aggressive competition among major platforms are driving a dramatic structural shift in the digital advertising landscape. OpenAI has quickly transformed ChatGPT Ads from an experimental pilot into a mature, multi-market performance channel. Simultaneously, Google is mandating a transition to AI Max for Search by auto-upgrading legacy Search and Dynamic Search campaigns, as it fights to protect its market position. This forced migration comes as Meta’s heavy investments in GEM and Advantage+ AI models are disrupting traditional audience targeting, dramatically simplifying campaign execution and driving unprecedented revenue growth that threatens to eclipse Google Search as the top digital ad platform by the end of 2026. Across all three ecosystems, automated infrastructure has reached a tipping point: Performance gains are making AI adoption essential, requiring marketers to actively manage automated migrations while taking care not to let algorithmic efficiency replace holistic audience and channel strategy.

Trend 1: ChatGPT Ads are scaling fast; infrastructure is finally catching up

ChatGPT Ads has gone from a limited U.S. test to more than 40 countries in less than seven months. The latest move is into Europe, covering Germany, France, Spain, Italy, Sweden, Norway, Denmark, the Netherlands, Austria and more. The UK went  live earlier in August, alongside Mexico, Brazil, Japan and South Korea. As of this week, OpenAI has also started rolling out self-service access through Ads Manager across various countries.

The scale is one thing, but the more interesting story is what has been built around it. ChatGPT Ads started with a basic CPM model. Since then, OpenAI has added CPC (cost-per-click) pricing, conversion optimization, geo targeting, custom audiences and measurement through the OpenAI Pixel, Conversions API and third-party integrations. These updates make ChatGPT Ads more practical for performance advertisers to test and optimize.

OpenAI says ChatGPT Ads has already reached a $1 billion annualized revenue in less than 200 days, with tens of thousands of advertisers now using the platform. That is a serious number for something that was still being described as a pilot at the start of the year.

The direction of travel is obvious too. Digiday reports that OpenAI is actively building for enterprise advertisers, including hiring specifically to position itself as a premium advertising platform for marketers and agencies. Recent Ads Manager updates include account health indicators, budget alerts, performance charts and automated creative recommendations, which sounds a lot more like a mature media platform than an experimental ad product.

So you have two things happening at once: More inventory is becoming available, and advertisers are getting more control over how they buy it. A few months ago, the main reason to test ChatGPT Ads was curiosity. Now, there is a stronger performance case for doing it.

💓 The Pulse

  • ChatGPT Ads are becoming much easier to test. Cost-per-click pricing, conversion optimization and self-service buying mean advertisers can now treat it like a performance channel rather than a one-off innovation budget.
  • The European rollout changes the scale. Advertisers can start planning ChatGPT across multiple markets instead of treating it as a U.S.-only experiment.
  • The opportunity is where the ad appears. People are already using ChatGPT to research, compare and make decisions. This is a valuable moment for an advertiser to show up — if the platform can prove it drives action as well as attention.

OUR TAKE

The interesting thing isn’t that OpenAI has expanded. It’s how quickly it’s starting to look familiar. OpenAI is clearly trying to remove the reasons advertisers may have had for waiting. If you are already spending heavily across Google and Meta, this is probably the point where ChatGPT Ads moves from “keep an eye on it” to “put some money behind it and see what happens.”

Trend 2: Google just made “trust the algorithm” mandatory for Search

In the past year, AI Max for Search has been something advertisers could opt into. That changes this month. Google is now auto-upgrading all remaining eligible Search campaigns running legacy settings, including Dynamic Search Ads with Automatically Created Assets and broad match. The transition is expected to wrap by the end of September.

The pitch from Google is that this isn’t just a rebrand of Dynamic Search Ads. AI Max adds three things to standard keyword targeting: search term matching, text customization and final URL expansion. It also provides more brand, location and content guidelines. Google’s own numbers show that accounts using the full feature set are seeing about 7% more conversions or conversion value at a similar cost-per-acquisition or return on ad spend compared with running search term matching alone.

What makes this even more interesting is the timing. Google has been under pressure this year, with Meta’s digital ad revenue projected to reach the top spot for the first time. Pushing every advertiser onto AI Max right as budgets shift into Q4 planning is Google’s way of leaning into its AI even more.

Google is promising to mirror existing campaign settings during the auto-upgrade to protect performance. Anyone who has been through a Google Ads migration knows that the promise and reality are not always the same. Advertisers who opt in now get to see what actually happens to their accounts before Google flips the switch for them.

💓 The Pulse

  • This transition is happening whether you touch it or not. Legacy Search and Dynamic Search Ad campaigns using Automatically Created Assets or broad match will be auto-upgraded by the end of September. Opting in early beats figuring out what changed after the fact.
  • The performance case is real. A 7% lift in conversions at a similar efficiency is worth testing on its own, separate from the fact that it’s mandatory.
  • Google is fighting for share. This rollout lands the same month Meta is expected to overtake Google in digital ad revenue for the first time. That context matters for how hard Google will push adoption.

OUR TAKE

Both OpenAI and Google platforms spent the last year building the infrastructure that turns an automated system into something advertisers can leverage. Both are now pressing to move budget through it. OpenAI is doing it to earn trust from advertisers who don’t have to be there. Google is doing it while forcing the migration on advertisers who don’t have a choice. The smart move is to opt into AI Max now on your terms, not on Google’s.

Trend 3: Meta’s AI is turning it into a bigger threat to Google

With the world of AI integration in ad platforms, there’s no denying that Meta is one of the biggest players. Meta has continued to put significant investment behind its AI and computing models to make its ad platform as seamless as possible for advertisers. Ad matching, content recommendations, creative optimization, personalization and Advantage+ campaign setups have all factored into Meta’s growth over the last year — and made a lasting impact on advertisers.

The more effective Meta becomes at finding the right people with its GEM and AI models, the less advertisers need to rely on detailed audience segmentation. Instead of manually building dozens of audiences for a brand or initiative, advertisers can focus on creative strategy while giving Meta broader inputs that allow it to determine who is most likely to convert at a given moment.

Advertisers and the market are clearly responding to this shift in the platform. Meta’s advertising business is growing at a faster rate than Google’s core Search advertising business, and analysts now expect Meta to overtake Google Search as the largest digital advertising platform by the end of 2026. The growth we are seeing in real time is largely because Meta’s AI systems have drastically changed the paid social and advertising realm.

💓 The Pulse

  • Meta’s AI is becoming a competitive advantage. Better ad matching, recommendations and personalization are helping Meta drive strong performance.
  • Advantage+ continues to reduce the amount of manual optimization. Meta is increasingly making audience selection and creative delivery more automated. Meta’s algorithm, especially with Advantage+, wants to do the work for you, so you can focus efforts on the overall brand strategy.
  • The growth is translating into real dollars. Meta is projected to surpass Google Search in ad revenue by the end of 2026.

OUR TAKE

Meta’s AI is making the platform more powerful, but the risk is that advertisers are starting with the platform instead of their audience. Because Meta can do so much of the targeting and optimization for advertisers, it’s getting easier to skip strategizing and go straight to Meta without developing your customer profile, target audience and key performance indicators.

Meta is a powerful tool — and for good reason. Our agency leverages the platform for nearly all of our clients where paid social is a part of the strategy. However, just because Meta can work for most brands does not mean it should be the be-all and end-all for every audience and KPI. TikTok, LinkedIn, Reddit and other platforms can offer very different audience environments and behaviors that may be a better fit depending on the objective.

The takeaway isn’t to move away from Meta. It’s to avoid letting Meta become the strategy. AI can make the platform efficient at executing a plan, but it shouldn’t replace the audience and channel strategy needed for continuous brand success.