From Interruption to Intelligence: Advertising’s AI Evolution

Advertising today is fragmented and high-effort for producers—and noisy, repetitive, and interruptive for consumers. What was once embraced as innovation is now seen as an annoyance: something to be blocked rather than welcomed.

Most brand campaigns today are duct-taped together, fragmented across formats, resized for every channel, and burdened by legacy workflows. Digital ads feel stale because users see the same creative repeatedly, leading directly to ad fatigue—where exposure breeds irritation rather than engagement. According to recent data, nearly 60% of consumers report feeling annoyed by repetitive online ads (HubSpot, 2024).

This frustration translates directly to performance metrics. Industry-wide, the average click-through rate (CTR) for display ads has dropped below 0.3%, signaling users’ diminishing interest and engagement with traditional ad formats (TOAG, 2024).

Digital ads appear like relics in modern feeds: flat, repetitive, contextless, and increasingly ignored. It’s no wonder people tune them out. We’ve built an advertising system that feels more like a toll than a service.

Meanwhile, the way people discover and evaluate products and services is rapidly evolving—driven by the rise of generative AI, conversational interfaces, and heightened user expectations for immediacy and personalization.

They’re no longer clicking through category pages or navigating sitemaps. Instead, they're prompting, asking intelligent agents to solve problems, recommend products, and compare options.

“What are some low-sugar, gluten-free, dye-free snacks for my kids?”

“I want headphones I can wear for hrs, that are noise cancelling, and have high audio quality. Can you recommend some options? My budget is $250.”

These aren’t just searches. They’re conversations. The future isn’t about browsing—it’s about dialogue.

To meet these users where they are, advertising must transform.

Brands will no longer selfishly interrupt; they’ll appear naturally within agentic flows—AI-driven interactions designed to anticipate needs and provide personalized recommendations. Instead of feeling intrusive, conversational ads become part of a helpful dialogue, offering tailored suggestions exactly when users want them.

Uniquely, conversational ads can achieve personalization without extensive reliance on sensitive personal data, thanks to the rich context already present in conversations. Whether advertisers choose to protect privacy fully is another matter, but the opportunity is clear.

This shift isn't merely a change of format; it fundamentally redefines the relationship between brands and consumers—from interruption to intelligence.

This future isn’t hypothetical. It’s already emerging.

Companies like Liner are embedding sponsored content directly into chat interfaces and Koah Labs is empowering the creation of those ads. Unsurprisingly, Google has started placing ads into AI conversations, as recently reported by Bloomberg.

It’s subtle. It’s native. And it’s proving effective.

Emerging data shows that traffic from AI chat interfaces converts at significantly higher rates.

It makes sense, when a recommendation comes from "your AI," it feels more like a suggestion from a trusted friend than a traditional ad. It’s personal, relevant, and rooted in context.

Instead of clicking through a banner ad, you receive a tailored, helpful suggestion inside a conversation. The line between content and ad begins to blur.

Whether it’s a welcome change or not, this format isn’t staying put. What’s happening in chat today is just the beginning. Soon, these conversational experiences will spill into every interface we use.

Make no mistake, this won’t be limited to your favorite chat app. It will become the norm across every digital medium.

Conversational ads will replace traditional display formats, embedded directly into apps, sites, and tools—contextual, intelligent, and even proactive.

Imagine opening your AI-powered fitness app and mentioning you’re sore, asking for a lighter workout today. The app immediately generates a personalized recovery-focused session, offers helpful tips, and makes some product recommendations; included is an ad for a full-spectrum CBD cream designed for muscle recovery.

Ads become part of the solution, intelligently anticipating your needs rather than interrupting your experience.

This isn’t about tricking users. It’s about aligning brand communication with how people actually make decisions.

As the interfaces change, so too will the creative. Static, pre-rendered assets won’t scale.

Instead, ads will be generated on the fly, crafted by AI, tuned to the context, and personalized per interaction. Meta’s CEO Mark Zuckerberg recently discussed this very vision: AI agents building ads for creators and businesses, tailored for the individual user.

Creative won’t just be produced. It will be orchestrated in real time.

In this new landscape, brands won’t be deployed through manual execution. They’ll be defined.

Everything—from visual identity and tone of voice to product data and promotional logic—must be encoded and accessible.

Your brand will need to exist as structured, machine-readable primitives. It will need to respond intelligently across channels. It will need to be consumable by the same agents your customers are using to make decisions.

Each phase in this transformation of advertising will require a new layer of technology to enable it.

• The First Shift – Generative Ad Creation Platforms
  Tools like Koah Labs are just beginning to enable brands to generate conversational ad content purpose-built for chat-based advertising.
• The New Default – Rich SDKs for Native Deployment
  To move beyond chat into broader app and site experiences, we’ll need generative ad platforms with robust SDKs. These SDKs will allow developers to embed conversational ads natively into any interface, without compromising performance or user experience.
• The Inevitable – Real-Time Ad Generation Infrastructure
  Multimodal agentic systems capable of generating dynamic, on-brand ads at scale—across text, image, and video—with the rigor required by premium brands don’t yet exist. But it won’t be long before the models that power these systems will be capable enough.
• From Delivered to Defined – Machine-Consumable Brand Repositories
  Brands will need dedicated platforms to centrally manage foundational brand primitives and guidelines for design systems, messaging, imagery, and videos. These platforms will securely and dynamically serve assets to AI-driven ad-generating systems through standardized protocols like Model Context Protocol (MCP), which structure brand context into a machine-readable format.

1. Build the Ad Tech of the Future

The infrastructure for conversational advertising is largely unbuilt, presenting significant opportunities for innovation:

• Develop ad platforms for easily deploying conversational and chat-based ads.
• Create robust SDKs and APIs to embed conversational ads seamlessly into apps, sites, and platforms.
• Establish infrastructure for real-time, multimodal ad generation, enabling dynamic, context-sensitive creative at scale.
• Pioneer secure, standardized brand-context delivery through protocols like MCP.

2. Take the Early-Mover Advantage

As with previous emerging mediums, conversational advertising will offer outsized returns, higher engagement, lower costs, and substantial opportunities for early adopters to shape best practices and gain market share.

• Begin experimenting today to master the nuances of conversational interactions.
• Capitalize on favorable economics before widespread adoption drives competition and cost upward.

3. Evolve Marketing Roles

The shift toward conversational AI and agentic flows isn't just technical; it requires marketers to strategically redefine their roles:

• Move from tactical execution to systems thinking and strategy.
• Define the logic, rules, and guardrails for AI-driven creative generation.
• Build new skillsets around brand-system design to maintain consistency across automated experiences.

The shift to conversational, AI-driven advertising is inevitable. The technology, consumer expectations, and economics are aligning rapidly. For brands and marketers, the question isn’t if this future arrives, but how quickly you’ll adapt.

At Turing, we believe this evolution is part of a broader shift—from AI as a tool to AI as an orchestrated system. The brands and businesses that win in this new landscape will be the ones who build for context, consistency, and control.

Those who move first won’t just benefit from better engagement or lower costs, they'll set the standards, shaping not only how advertising evolves but also how people discover, trust, and ultimately choose.