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Explore the power of Artificial Intelligence in marketing, where advanced algorithms and data-driven insights are transforming how businesses engage with their audience. Discover how AI can elevate your strategy and drive growth in today’s digital landscape.
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.
Luxury will always be defined by craftsmanship and creativity. But in the modern era, digital experience is becoming just as important as physical expression.
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.
The future of marketing is here—and it’s accessible, practical, and built for businesses like yours.
On this episode, I sit down with Steve Bevilacqua, Principal Consultant at Cella by Randstad Digital, for a candid conversation about what AI is actually doing inside marketing organizations today.
Ivan shares a grounded look at where the industry is headed and why human expertise still matters in an increasingly automated world.
From starting with simple use cases and leaning into trusted partners, to building stronger first party data foundations and using AI to improve decisioning, optimization, and measurement, this conversation is less about hype and more about what helps marketers work smarter, think more strategically, and move forward with confidence.
This is the part to keep saying out loud to your teams, your CFO, and your board: the foundation we’ve all been operating in is different now, and more changes are coming.
The future of marketing is unlikely to belong to either humans or machines alone. Instead, it will belong to organizations that understand how to combine the strengths of both.
On this episode, I sit down with Steve Bevilacqua, Principal Consultant at Cella by Randstad Digital, for a candid conversation about what AI is actually doing inside marketing organizations today.
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.
Learn about the latest AI tools for marketers and how brands are investing in AI to increase campaign effectiveness, reimagine resource constraints and garner real marketing results.
The AI referral moment will not be won in the answer box alone.
If the existing model continues to deteriorate, the answer cannot be to simply hope that the market corrects itself.
What Google quietly taught marketers about quality control, and the lesson goes well beyond local search.
The marketers who win the zero-click era won’t be the ones with the best schema markup.
Google may lose its crown, and search and marketing, plus story-telling, may become easier and less costly for the small and the bif enterprises.
Daily use of custom-built, AI-enhanced workflows and processes will be standard practice across our global workforce by year-end, and EMEA is tracking nicely against the ambition.
The real question is not whether AI will make advertising more efficient. It almost certainly will. The real question is whether the industry can prevent “better performance” from becoming a euphemism for worse markets, weaker trust, and bigger external costs.
At the end of the day, AI stands for different things to different people and, in my experience, it is artificial and its “intelligence” is debatable.
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 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.
