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CMO News: AI Changes Affecting 2026 Q2
Published: March 28, 2026
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Contents Overview
AI is no longer evolving in isolated product updates. It’s reshaping how customers discover products, how platforms monetize attention, and how marketing teams operate.
What changed last week points to a broader shift: AI is moving from a tool marketers use to an environment they have to compete within.
Here are the five developments that matter, and what they signal heading into Q2.
1. AI Is Becoming a Paid Media Channel
OpenAI’s ads product has already surpassed $100M in annualized revenue less than two months into its rollout. That is early, but it’s not experimental anymore.
This marks a structural shift: AI interfaces are becoming monetized attention environments, similar to search and social before them.
For marketers, this introduces a new layer:
- Users are not just discovering information in AI — they’re being exposed to sponsored placements within it.
- Ad formats are native to conversation, not interruption.
- Measurement is still immature, but adoption is accelerating.
2. Search Is Losing Clicks (Faster Than Expected)
Google’s March core update, expanded AI Overviews, and new AI-driven SERP features all point in the same direction: the click is being compressed.
Key changes:
- AI-generated summaries reduce the need to visit websites.
- AI-generated title links and layouts are reshaping how results are presented.
- AI Mode and new interfaces are actively reducing outbound traffic.
- Ads are expanding into AI-driven search experiences.
The net effect is simple: visibility no longer guarantees traffic.
3. Discovery Is Shifting From Search to Conversation
Across both platform updates and Shoptalk conversations, one behavioral shift is becoming clear:
Consumers are starting with intent, not keywords.
Instead of searching: “best running shoes”
They’re asking: “What shoes are best for flat feet and marathon training?”
This changes how discovery works:
- Inputs are longer, contextual, and constraint-based.
- Outputs are curated, not listed.
- Fewer options are presented, but with higher intent alignment.
Retailers like Wayfair are already building toward this with conversational and multimodal shopping experiences.
4. The “Human-in-the-Loop” Is Becoming a Differentiator
Despite rapid AI adoption, consumer behavior is not fully delegating decisions to machines.
The pattern is consistent: AI is augmenting humans, not replacing them.
Data from Shoptalk shows:
- Most consumers use AI for research — not final decisions.
- Emotional drivers still influence purchase behavior.
- Trust signals (reviews, brand, community) are increasing in importance.
CMOs and companies should ensure they are using AI in an effective way based on how their consumer is expecting AI to be used. Chatbots and customer service are out. Enhancing your efforts with additional support using AI is in.
5. AI Regulations are Increasing
There are now 70+ AI-related bills active across U.S. states, with a clear focus on:
- AI disclosure requirements.
- Synthetic media transparency.
- Chatbot accountability.
- Data usage and consumer protection.
Several states are already moving toward requiring the disclosure of AI-generated content in ads. As well as clear identification when it comes to chat bot interactions, and other media.
How CMOs Should Respond to These AI Shifts in Q2
The changes happening now are not incremental, they directly impact how demand is created, captured, and converted. Q2 is where these shifts begin to show up in performance.
1. Re-evaluate your channel mix
AI is introducing new surfaces for both discovery and paid media. Begin testing emerging AI placements while reassessing reliance on traditional search, where traffic is becoming less predictable.
2. Shift from keyword strategy to intent strategy
As discovery becomes more conversational, content strategies need to map to real customer needs and constraints — not just search volume. Winning means aligning with how people ask, not how they type.
3. Strengthen your data and product infrastructure
Structured, accurate data is what gets surfaced in AI-driven experiences. Ensure your product feeds, attributes, and site data are optimized for machine interpretation.
4. Redefine how you measure performance
Clicks and rankings are no longer enough. Start evaluating visibility within AI outputs, influence across the journey, and revenue impact.
These shifts are already impacting how brands compete. Understanding where you stand today is the first step toward adapting effectively, which is exactly what our AI Audit is designed to uncover.
Request your no-cost AI visibility audit to identify gaps and position your team for stronger performance in Q2.
About Kellyann Doyle
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