Advertising Week 2026: 6 Takeaways for Media and AdTech Leaders

After more than a decade away from Advertising Week New York, one thing was immediately clear: the Ad industry has no shortage of technology. AI is everywhere now, CTV continues to mature, commerce media is expanding, measurement is getting more sophisticated, and new platforms and capabilities are arriving at a remarkable pace.

Across the conversations about AI, CTV, commerce media and measurement, one challenge kept coming up: how to make increasingly complex technology systems work together. For media companies, connecting these systems may be just as important as the technologies themselves. It will increasingly be defined by who can connect technology, data and workflows well enough to create better experiences, make better decisions and produce stronger business outcomes.

1. AI is moving from experimentation into the operating model.

There was still plenty of AI discussion at Advertising Week, but the tone has changed. The conversation is shifting from what generative AI might eventually do to where it belongs in real advertising and media workflows, how it can create meaningful value, and what needs to be in place before organizations can trust it to operate at scale.

Moving from an AI experiment to a production environment introduces a very different set of challenges. AI systems need access to trusted data, need to interact with existing platforms and workflows, and need enough context to make useful decisions. In many cases, actions will require human oversight, while outputs need to be observable, auditable and measurable.

Deploying AI at scale requires more than a capable model. Media companies also need to address permissions, data access, integrations, reliability and governance to make AI useful in their existing workflows. I believe, for media companies, AI is likely to become less of a standalone capability and more of another layer within an already complex technology ecosystem.

2. CTV faces growing pressure to prove its value.

Another major theme was Connected TV; however, the conversation has moved well beyond whether audiences are shifting to streaming. That shift has happened, and the more important question now is what advertisers and media companies can prove about the value being created.

The discussion around CTV increasingly focused on measurement, attribution, verification and the ability to connect media exposure to meaningful business results. Expectations are moving beyond reach and impressions toward a clearer understanding of what audiences did, how different channels contributed and whether the investment produced incremental value.

That creates opportunity, but it also exposes a familiar technology problem. CTV does not operate in isolation. It increasingly intersects with audience data, identity systems, commerce signals, advertising platforms, measurement tools and content delivery infrastructure. The more sophisticated the business model becomes, the more dependent it is on those underlying systems exchanging information reliably.

3. More data doesn’t necessarily mean better decisions.

Measurement came up repeatedly throughout the week. Retail media wants a clearer view of performance across channels, CTV advertisers want better attribution, AI-driven media decisions depend on stronger signals, and commerce platforms want to connect exposure to transactions.

The industry has become extremely good at generating data, but connecting that data in a way that supports better decisions remains much harder. Different platforms often maintain their own identity systems, measurement methodologies and definitions of performance, creating an environment where companies can have more information than ever and still struggle to understand what is actually driving growth.

For a media company, this problem is very real. A streaming platform may have excellent systems for content delivery, audience intelligence, ad decisioning and measurement. If those systems cannot reliably share context, trigger workflows or create a consistent view of performance, each additional capability can introduce as much complexity as value.

The important question is not whether you can collect more data. It is whether the right signals can be connected in a way that improves a business decision.

4. Content, commerce and advertising are converging.

One of the biggest shifts is the continued blurring of the lines between content, commerce, and advertising. Commerce signals are increasingly informing CTV, social, video and other advertising channels, while AI is shortening the distance between discovery and purchase. At the same time, media companies are looking for new ways to monetize content, audiences and first-party relationships.

These are no longer separate systems or separate conversations. For media and entertainment companies, the opportunity is increasingly created at the intersection of them.

That convergence can unlock new revenue models and better customer experiences, but it also increases architectural complexity. Advertising infrastructure may need to exchange information with customer data platforms, commerce systems, content platforms, identity providers, analytics environments and AI services. The business opportunity is compelling, but the technical dependencies underneath it are becoming more important.

Adding another capability is usually the easy part. Making the broader ecosystem behave like a connected system is much harder.

5. Orchestration is becoming a competitive advantage.

This idea stood out most strongly to us at Advertising Week. The industry has spent years building increasingly sophisticated technology stacks, with media buying platforms, customer data systems, cloud infrastructure, measurement services, content platforms, and now AI capabilities often evolving independently.

Each technology can be excellent on its own, but business outcomes still depend on how well those technologies work together. A best-in-class measurement platform has limited value if it cannot access the right signals. An AI agent cannot improve a workflow if it cannot securely interact with the systems where the work actually happens. A new advertising capability will struggle to create value if implementing it introduces another isolated data environment.

We believe orchestration is becoming a competitive advantage in AdTech. Media companies that can connect their technology, data and workflows will be better positioned to improve operational efficiency, measure performance and deliver better experiences for advertisers and audiences.

Orchestration does not mean forcing everything onto a single platform. In many large media environments, that is unrealistic and may not even be desirable. It means designing an architecture where systems can exchange data reliably, workflows can cross platform boundaries, and teams can introduce new capabilities without continually creating new silos.

That is a much harder problem than selecting technology, but it is increasingly where the value sits.

6. Technology strategy is becoming architecture strategy.

For senior media leaders, this has broader implications. Technology decisions can no longer be considered independently from the architecture they need to operate within.

A business may decide that AI, advanced measurement, dynamic advertising or commerce media represents an important strategic opportunity. The ability to act on that opportunity will depend on whether the underlying architecture can support it: whether the right data is accessible, whether systems can interact, whether workflows can be automated safely, and whether new capabilities can be introduced without destabilizing everything around them.

This is where technology strategy increasingly becomes architecture strategy. The business question may be creating a new revenue stream, improving advertising performance, or deploying AI, but the ability to execute often comes down to the design of the systems underneath.

That should influence how media companies evaluate technology investments. The question should not only be whether a new platform has the right capabilities today, but also how easily it can become part of the environment the organization will need tomorrow.

What media leaders should be thinking about next.

The pace of change across media and advertising is unlikely to slow, but the answer probably isn’t to keep adding more technology. Media leaders should be asking harder questions about the systems they already have and where friction is preventing them from taking advantage of what comes next.

Where is important data trapped? Where are teams still manually moving information between platforms? Where do measurement gaps prevent confident decisions? Where could AI materially improve a workflow if it had reliable access to the right systems and context? Just as importantly, where has technology complexity itself started to become a barrier to innovation?

Those questions are not as exciting as announcing another platform, model or capability, but they may be considerably more valuable. Advertising Week reinforced something we see across the media industry: technology is becoming more capable at exactly the same time the environment around it is becoming more complex.

The next competitive advantage will not come from adopting everything available. It will come from choosing the right technologies, building the architecture around them, and making them work together.