AI is changing the way people discover brands. Sometimes they ask questions directly into an AI platform such as Perplexity or ChatGPT. And even if they start their search on Google, answers are often provided in the AI overview, so consumers get what they need without clicking through to a website.
That shift has raised a natural question for marketers: if discovery is happening inside AI-driven environments, does paid media still matter? The short answer is yes, and it matters more than ever. As organic visibility becomes less predictable, paid media remains one of the few ways brands can reach new audiences and build their upper funnels.
The fundamentals of paid media haven’t changed, but how it works has. AI is now built into the platforms themselves, shaping who sees your ads, which ads they’ll see, and how your campaign should be optimized. Ensuring your paid media investments deliver the results you need requires adapting to how those systems actually operate.
Discovery Is Changing, But Exploration Still Drives Attention
For years, marketers could rely on a mix of organic and paid strategies to drive visibility. Strong SEO, compelling content and a solid website experience could generate steady traffic.
That model is becoming less reliable. But as we’ve seen, AI is changing the rules.
But not all discovery works this way. People still search, scroll and explore when their intent isn’t fully formed. They’re open to ideas, comparing options and deciding what they want. That’s where attention still matters and where paid media plays a critical role.
Paid Media Still Drives Scalable Reach
While AI is reshaping discovery, it is not replacing the need for reach. Brands still need to raise awareness, stay top of mind and reinforce their message across multiple touchpoints. Paid media remains the most effective way to do this at scale.
What has changed is how that reach is delivered. It used to be that marketers defined the audience, set the budget and approved fully assembled ads. Platforms such as Google and Meta would deliver those ads to the selected audience and performance was improved over time through testing and optimization.
Today, platforms are doing much more of that work. They interpret user behavior, infer intent and select which combination of headline, image and offer to show each person in real time. In many cases, the “ad” is no longer a fixed unit; it’s assembled on the fly based on what the platform believes will resonate most.
That shift fundamentally changes the role of the marketer. Performance depends less on manual control and more on the quality of the inputs you provide from the start. They can include:
Audience intent and behavior
Creative assets and variations
Clear conversion goals
When those inputs are strong, the system can optimize effectively and show your ads to the people most likely to respond. When they’re weak, optimization becomes more reactive, slower and less reliable. Put another way: success depends on both a strong setup and active management. The difference is that day-to-day optimization is now focused less on manual adjustments and more on refining signals, creatives and inputs over time.
Alignment Is the New Advantage
As platforms take on more of the execution, the marketer’s role shifts from control to orchestration. Success now depends on how well the audience signals, creative and platform strategy work together.
When those elements are aligned, platforms can do what they are designed to do: identify the right users, assemble the right message and deliver it at the moment it is most likely to resonate. That’s what drives attention.
In a fragmented, AI-influenced landscape, attention is no longer something you can assume. It must be earned through relevance. And relevance is a direct result of how well your campaigns are aligned from the start and refined over time.
AI may be reshaping how people discover brands, but paid media remains one of the most effective ways to capture attention when it matters most.
Calvin Scharffs is a global marketing executive with over 20 years of experience in programmatic advertising, AdTech, and SaaS. He has led brand, product marketing, and demand generation teams across North America, APAC, and EMEA, helping companies sharpen their positioning and accelerate growth. A founding member of his company’s AI Council, Calvin is passionate about the responsible adoption of AI in marketing and go-to-market strategy. He is a regular contributor to industry conversations through earned media, speaking engagements, and thought leadership publications.
