Consumers want smart AI ads that still feel human

Consumers value AI-generated ads for improved relevance and usefulness

The 2026 State of Marketing and AI report from Canva, in partnership with The Harris Poll, shows a clear divide between what people find efficient and what they find meaningful. About 68% of consumers are fine with AI in advertising when it makes content more relevant or useful. But the same audience overwhelmingly prefers ads made by real people, 78% said so, and 87% believe human touch remains essential for the best advertising outcomes. Even more striking, 74% said they’re more likely to buy from an ad made entirely by humans.

The core message is simple: AI can enhance the process, but people connect with other people. When an ad feels human, it carries a sense of authenticity and storytelling that AI still can’t fully simulate. For executives, this insight should translate to strategy. AI systems can automate and accelerate output, but creative leadership must ensure that the soul of a campaign remains intact. Companies that pair machine precision with human emotional intelligence will build more loyalty and engagement over time.

The shift toward intelligent automation is unstoppable, but brand leaders must use it thoughtfully. Consumers aren’t rejecting AI, they’re rejecting the feeling of being marketed to by a machine. For marketing executives, that means the next era of branding isn’t about replacing people with technology. It’s about integrating systems that amplify human creativity while preserving emotional depth and trust.

The rising concern over “AI slop” reflects growing consumer frustration

Canva defines “AI slop” as content generated by AI that lacks originality and depth. It’s the byproduct of large-scale automation that prioritizes volume over value. According to a Meltwater analysis cited in the report, mentions of “AI slop” jumped ninefold in 2025, with negative sentiment spiking to 54% in October. That backlash is real, and it comes from both consumers and within the marketing sector itself. About 41% of marketing leaders see AI slop as a pressing challenge.

For executives, these findings highlight a critical truth: AI alone doesn’t create excellence. Tools are only as strong as the human creativity that guides them. Over-automating content production often leads to sameness, ads that look and feel identical across markets and platforms. The cost is strategic. When consumers perceive content as robotic, brand value declines.

In practice, that means leadership needs tighter creative governance as AI adoption scales. Policy should mandate recurring evaluation of AI outputs and reinforce teams that prioritize originality. Decision-makers must also set clear expectations for quality control, ensuring generative tools serve brand integrity rather than dilute it.

The opportunity here is clear. Companies that move first to solve the AI slop problem will lead the conversation on quality-driven automation. Those that focus on innovation guided by human sense and accountability will stand out in a digital environment flooded with sameness.

Consumers set clear boundaries for AI-driven personalization

The Canva and Harris Poll study shows that personalization powered by AI has reached both its peak of potential and its limit of acceptance. Fifty-eight percent of consumers said they do not want ads that predict what they will want before they express interest. Half of respondents felt uneasy when ads referred to offline behavior or offered details that seemed too intimate. These numbers send a clear signal: intelligent targeting must respect personal boundaries.

However, the same audiences recognize tangible benefits when personalization serves practical needs. Eighty-one percent welcome ads that help them save money, 80% favor messages delivered in their local language, and 77% appreciate locally relevant campaigns. Consumers also prefer ads that appear at the right time or place, 65% said so. These preferences suggest that value and timing matter more than predictive precision.

For C-suite leaders, the message is strategic. Personalization must serve to enhance convenience. When an ad feels overly predictive, it undermines user confidence and diminishes brand trust. Marketing and product leaders should focus AI development on useful contextualization rather than surveillance-driven prediction. The winning combination is relevance, respect, and restraint, AI systems that understand intent without overreaching.

The next phase of personalization should be transparent and optional. Executives who emphasize ethical governance and consumer control in AI targeting strategies will maintain credibility while still capturing audience attention effectively.

Transparency through disclosure and formal AI policies is essential

Canva’s research reveals a growing gap between the visibility of AI technology and consumer awareness of its use in content creation. Seventy percent of consumers believe it will soon be impossible to tell whether an ad was made by AI without formal disclosure. Over half, 56%—expect this indistinguishability to arrive within the next two to five years. Trust is now tied to what brands produce and to how openly they communicate about it.

Transparency isn’t just good practice, it’s a competitive advantage. Seventy-four percent of consumers said they would feel more comfortable with AI in advertising if organizations had clear, public policies that define how the technology is used. Such measures build credibility and show accountability. A lack of disclosure, on the other hand, signals avoidance, which quickly erodes consumer confidence.

For executives, this means AI policy cannot remain a back-office compliance matter. It must become a front-facing component of brand identity. Clear communication about how AI supports creativity, how human oversight is maintained, and how data is handled transforms uncertainty into assurance. Companies that promote responsible AI use will earn longer-term brand loyalty, setting the tone for future regulation and public trust.

In the near term, formal policies need to address transparency standards, disclosure wording, and AI decision-making oversight. Leadership teams that execute these measures early will influence industry standards and demonstrate that technology-driven innovation can coexist with ethical responsibility.

Certain human qualities, like empathy, creative judgment, and emotional intelligence, remain irreplaceable

Nearly every marketing leader surveyed is already working with AI tools. Canva’s 2026 report found that 97% of marketing professionals use AI in their daily creative processes, and an impressive 99% plan to increase their investment by 2026. The enthusiasm for automation is strong, but so is the understanding that machines cannot replace the depth of human insight. Leaders identified empathy and emotional intelligence (42%), creative imperfection (41%), and brand intuition or judgment (41%) as uniquely human strengths that machines cannot replicate.

This perspective reflects an important shift. AI has become integral to creative production, but leaders understand that technology alone cannot define a brand’s emotional connection with its audience. Even the most advanced models rely on patterns built from existing data, while humans possess the capacity to interpret culture, context, and emotion in real time. Advertising driven solely by data may be precise, but it often lacks the sense of humanity that binds people to brands.

For C-suite executives, the goal should be balance. AI should streamline processes, identify trends faster, and amplify creativity, but it should never eliminate the human role in shaping brand voice and vision. The next frontier isn’t about replacing teams. It’s about structuring them so that human intelligence leads, while AI supports with scale, speed, and consistency.

Strategically, companies that cultivate this collaboration will outperform those that treat AI as a shortcut. Investing in creative talent that understands how to work with intelligent systems is essential. Technological power needs human direction to achieve meaningful innovation. The future of marketing belongs to organizations that recognize this synergy and commit to advancing both human capability and machine intelligence with equal intent.

Main highlights

• Human creativity still drives consumer trust: Consumers welcome AI in ads for relevance and usefulness but remain loyal to brands that preserve authenticity and human emotion. Leaders should use AI to enhance efficiency.
• AI quality control must be a leadership priority: The growing backlash against “AI slop” shows that audiences reject low-quality automation. Executives should implement content oversight policies that maintain originality and safeguard brand value.
• Personalization must respect boundaries: Consumers favor AI-driven ads that save time or money but reject those that feel invasive or predictive. Leaders should ensure personalization strategies balance relevance with respect for privacy.
• Transparency strengthens brand credibility: As AI becomes harder to detect, disclosure and ethical AI policies are now essential. Executives should make transparency part of their brand identity to sustain consumer trust and stay ahead of regulation.
• Empathy and creativity remain competitive advantages: While AI adoption is near universal, human insight, empathy, creative instinct, and judgment, remains irreplaceable. Leaders should invest in teams that master AI tools without losing the emotional intelligence that keeps advertising meaningful.