For rights holders seeking to future-proof their sponsorship strategy, the AI Experience Room may represent the next generation of monetizable sponsorship assets.
For rights holders seeking to future-proof their sponsorship strategy, the AI Experience Room may represent the next generation of monetizable sponsorship assets.
In an industry where loyalty often depends on understanding as much as visibility, giving consumers a space to ask questions, explore ideas, and discover products in their own way may prove to be one of the most meaningful innovations of all.
Artificial Intelligence is no longer the future of marketing—it’s the now. From boosting productivity and precision to enabling smarter, more human-centered experiences, AI is revolutionizing how brands operate.
From privacy and data ethics to job disruption and creative dilution, AI in marketing is not without its complications. Here’s a closer look at the challenges marketers, businesses, and society at large must grapple with as this technology evolves.
On this episode of AI: Machine-Made Marketing, we sit down with Nick Valenti, CEO of Mādin, to unpack why AI isn’t replacing creativity — it’s raising the bar for what actually matters.
The conversation explores the balance between machine efficiency and human judgment, and what it really takes to produce work that resonates and stands out.
Search marketers must also become experts in the evolving effect of AI on search.
Much of the fragmentation that defines digital advertising today exists because humans are stitching together dozens of tools, intermediaries and data layers.
The question isn’t whether your brand is ready for AI. It’s whether your operating model is ready for anything at all.
The “Deepfakes, TikTok and Political Ads: Media Influence on the Upcoming Election” session, hosted by Advertising Week in partnership with Cint, dove into the powerful role media plays in shaping voter behavior ahead of critical elections.
The audience isn’t going anywhere. The targeting, measurement and self-serve tools will get built because OpenAI can’t scale a real ads business without them.
This is retail media’s own MACH moment, and this shift into open and transformative technologies is essential for those who are serious about making retail media work to its full potential by cutting costs and speeding up innovation.
It’s tempting for large, established brands to believe they’re insulated. History suggests otherwise.
The $1 trillion question isn’t how to make more. It’s how to finally know what works.
If your AI strategy is not designed to deepen what your organisation uniquely knows, it is not a strategy. It is an efficiency programme looking for a narrative.
Publishers may be getting the legal framework, but what they still lack is the measurement layer that tracks what actually happens to their content once it enters an AI system.
Although we are not leaving optimisation behind, brands must make a more conscious effort to identify the messages that travel across content.
Every new targeting signal follows the same curve. Early movers get premium performance at low competition. Then the market catches up.
AI may industrialise advertising, but it will not automate taste.
The industry will need new frameworks and better technology to help clarify what “real” engagement actually means, and it needs them today, not tomorrow.
For rights holders seeking to future-proof their sponsorship strategy, the AI Experience Room may represent the next generation of monetizable sponsorship assets.
Agents, with buyers and sellers as their masters, provide an opportunity to reshape all facets of the digital advertising market in the interests of its participants, not its gatekeepers.
Everyone has an AI agent now. Very few have one that actually knows what it’s looking at. That distinction is the whole game.
In 2026, production isn’t a scarce resource, but perspective can be.
AI-built models are designed specifically to take advantage of correlations between a brand’s audience and behaviors exhibited within a database, no matter how counterintuitive those correlations may seem on the surface.
There’s an irony buried in the AI revolution that nobody wants to talk about.
Commerce media is a growth engine. But it is system intelligence, not isolated optimization, that determines how powerful that engine becomes.
In an industry where loyalty often depends on understanding as much as visibility, giving consumers a space to ask questions, explore ideas, and discover products in their own way may prove to be one of the most meaningful innovations of all.
The future of advertising will not be won by whoever finds the cleverest place to stick an ad in a chatbot.
Before we prematurely write the obituary for creativity, let’s focus on the opportunity to make meaning.
If machines outperform us at ads, that may simply mean we have treated ads as the primary battleground for too long.
Let’s stop asking what AI might take away, and start designing for what it can help people become.
For marketers watching the AI race, the takeaway is which company is structurally positioned to monetize AI at scale.
The agencies that move decisively in 2026 will look back on this moment as the inflection point. The ones that don’t will wonder why they missed it.
By embedding these questions into your content process, you make every page more likely to surface in AI answers, without sacrificing human readability.
Luxury will always be defined by craftsmanship and creativity. But in the modern era, digital experience is becoming just as important as physical expression.
The agentic era is here. The question is, will we shape it with intention, or will we let it shape us?
Sandra Sucher, Professor of Management Practice at Harvard Business School, and David Bersoff, Head of Research at the Edelman Trust Institute, join Justin Blake, Executive Director of the Edelman Trust Institute, to discuss their recent article from HBR.org