What AI Made Super Bowl Ads Reveal About CMOs and Brands
The Super Bowl has a way of making marketing decisions visible. Things that are usually debated behind closed doors are suddenly public.
That makes it a useful moment to look at how CMOs are approaching AI. Not because the ads themselves are the point, but because when AI shows up in brand expression, it reflects decisions about judgment, visibility, and ownership that were already made long before game day.
What’s interesting right now is not whether AI belongs in marketing. It’s how deliberately it’s being used when it represents the brand.
How CMOs Are Thinking About AI Visibility in Brand Expression
AI is already embedded across marketing organizations, powering content creation, research, insights, and workflow efficiency. Much of that use remains invisible to customers, and intentionally so.
The leadership question emerges when AI moves from enablement to expression. At that point, visibility becomes a brand decision rather than a technical one. Making AI visible can signal innovation, but it can also reshape how audiences interpret authenticity and intent. This is why many CMOs are treating AI visibility as situational, guided by brand maturity, category norms, and audience expectations rather than a fixed stance.
Industry reporting suggests this caution is widespread. While AI is part of the creative conversation around the Super Bowl, most brands are still choosing human led production for their most visible moments, reflecting careful calibration rather than hesitation.¹
When AI Is Visible, Alignment With the Brand Story Matters
When AI does appear in brand expression, it tends to land best when it reinforces an existing brand narrative rather than introducing something entirely new.
A clear example is Svedka’s recent Super Bowl spot, which leaned heavily on generative AI while resurrecting the brand’s long standing Fembot character. The technology was new, but the character and tone were familiar. Importantly, the brand emphasized that the creative direction remained human guided, even as AI played a central role in execution.²
This approach illustrates a broader principle. AI works best when it extends what a brand already stands for. When AI feels disconnected from brand history or tone, it draws attention to the technology itself rather than the story.
For CMOs, the evaluation is not whether the execution is impressive, but whether it feels coherent with how the brand has earned trust over time.
Human Guidance Shows Up in the Outcome, Not the Process
Human guidance is not only about process transparency. It is about whether the creative outcome signals taste, judgment, and ownership.
Audiences do not evaluate prompts, tools, or workflows. They respond to whether the work feels considered and intentional. As generative tools become more accessible, differentiation increasingly comes from decision making rather than capability.
This is why brands like Coca Cola, which have experimented with AI driven creative outside the Super Bowl for their holiday ads, have seen mixed reactions. The debate has been less about whether AI was used and more about whether the output preserved emotional resonance and brand authorship.³ ⁴
The lesson for CMOs is clear. AI can accelerate creation, but leadership judgment determines what ultimately represents the brand.
Transparency Around AI Is a Leadership Call
Disclosure of AI use can be a governance requirement in some contexts, but it is also a strategic leadership decision.
In regulated industries or regions, transparency may be mandatory. Beyond that, CMOs still need to decide how and when AI involvement is communicated. In some cases, disclosure adds clarity or reinforces trust. In others, it distracts from the creative idea itself.
Survey data suggests audiences are not uniform in how they feel about AI generated advertising, which makes absolute rules difficult to apply.¹ The most effective approaches tend to be intentional and situational, shaped by context rather than ideology.
When AI Advertising Becomes a Competitive Statement
This year’s Super Bowl will include a planned campaign from Anthropic that uses humor to argue against advertising inside AI assistants. Structured as a series of spots for Claude, the campaign implicitly contrasts an ad-free vision of AI with models associated with OpenAI’s ChatGPT, where advertising has been openly discussed as a potential path.
Rather than promoting product features, the creative positions monetization itself as a point of differentiation, signaling how competition among AI platforms is beginning to surface through brand storytelling ahead of the game.
What This Moment Says About CMO Judgment
Taken together, conversations around AI and Super Bowl advertising point to something broader than creative experimentation.
Some brands are choosing visible experimentation. Others are applying AI quietly to improve speed, consistency, or scale. Neither approach is inherently right or wrong. What matters is whether AI use aligns with brand values, audience expectations, and internal accountability.
As AI becomes more capable, the differentiator will not be access to the technology. It will be the quality of judgment applied to it.
Is Your Organization Being Intentional About How AI Shows Up?
Spark Novus works with CMOs and marketing leaders to design AI strategies that align technology with brand expression, governance, and long term audience trust. If these questions are already surfacing inside your organization, a short conversation can help bring clarity before patterns set in. Let’s chat!
FAQs About AI, Brand, and Leadership
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Most CMOs are already using AI operationally across content development, insights, research, and workflow efficiency, often without labeling it explicitly as AI. The more deliberate decisions now sit around where AI becomes visible externally and how it influences brand expression, not whether it is used at all.
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Audience trust in AI made advertising remains mixed and highly context dependent. Some consumers are open to AI generated creative when it aligns with brand expectations, while others remain cautious due to concerns around authenticity and job displacement. This variability is why CMOs evaluate AI visibility carefully rather than treating it as a default choice.
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Most marketing leaders view AI as an augmentation tool rather than a replacement for creative teams. Human judgment remains central to strategy, storytelling, and final decisions, while AI is used to accelerate exploration and execution. Leadership responsibility lies in ensuring accountability and authorship remain clear.
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Disclosure of AI use can be a compliance requirement in some contexts, but it is also a strategic leadership decision. In regulated environments, transparency may be mandatory. Beyond compliance, CMOs still need to decide how and when AI is communicated so that it adds clarity and trust rather than distracting from the brand message.
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AI governance does not have to mean heavy process or centralized control. For most CMOs, effective governance shows up as clear principles around brand use, human accountability, and risk tolerance, combined with enough flexibility for teams to experiment responsibly. The goal is not to restrict innovation, but to ensure AI is applied in ways that are consistent with brand values, audience expectations, and leadership intent.
Sources
Axios. “Early Super Bowl ads to watch and why many brands are keeping AI out of creative.”
https://www.axios.com/2026/02/04/early-super-bowl-ads-2026-gary-veeInc. “Svedka’s Super Bowl ad was created using generative AI and TikTok choreography.”
https://www.inc.com/annabel-burba/svedkas-super-bowl-ad-was-created-by-ai-and-trained-on-tiktok-dances/91297022.htmlForbes. “Coca Cola’s AI generated ad controversy explained.”
https://www.forbes.com/sites/danidiplacido/2024/11/16/coca-colas-ai-generated-ad-controversy-explained/Food Dive. “Why Coca Cola keeps pushing generative AI despite backlash.”
https://www.fooddive.com/news/why-coca-cola-keeps-pushing-limits-generative-ai-despite-backlash/804869/
