What AI-Generated Advertising Is—and What Consumers Expect
AI-generated advertising is the use of artificial intelligence tools to design, write, target, or personalise ads so that messages reach people more efficiently, appear more relevant to their needs, and can be produced at greater scale than by human marketers working alone. Recent research from Canva’s State of Marketing and AI report shows how quickly this idea has moved into practice: 97% of marketing leaders now use AI in daily creative work, and 99% plan to increase AI investment. Yet consumer acceptance of these AI marketing trends is conditional. People are willing to endorse AI when it serves clear benefits such as more helpful product information, better timing, or language fit, but they push back when AI feels generic, intrusive, or as if it has replaced human creativity instead of supporting it.
Usefulness Over Hype: When Consumers Welcome AI Ads
Consumer acceptance of ads depends less on how they are made and more on whether they solve a real problem. Canva’s research shows that 68% of people do not mind AI in ads when it makes them more helpful or relevant, and support climbs when advertising is tied to practical gains. For example, 81% of consumers want ads that help them save money, 80% want ads in their local language, and 77% value local relevance. These preferences echo broader AI marketing trends, where data analysis improves product development and discovery, as seen in Unilever’s use of AI to analyse microbiome and hair data for brands like Pond’s and Dove. In this context, personalized advertising works best when it feels like tailored assistance—right time, right place, right need—rather than prediction for its own sake.
The ‘AI Slop’ Backlash and the Trust Gap
Despite growing consumer acceptance of AI-generated advertising, trust remains fragile. Canva reports that 78% of consumers would rather see ads made by people, even if AI could make them better, and 87% believe the best advertising still needs a human touch. Many say they can tell when an ad is AI-generated because it feels like it is “missing its soul.” The term “AI slop” has spread for content seen as low-quality or devoid of meaning, with mentions rising ninefold in 2025 and negative sentiment peaking at 54%. Machine-personalised emails, AI-sounding voiceovers, synthetic product photos and obviously automated social posts all trigger discomfort. At the same time, 70% of consumers expect it will soon be impossible to identify AI-made ads without disclosure, and most would feel safer if brands had clear policies governing AI use.
Where Human Creativity Still Matters Most
Marketers themselves see clear limits to automation. In Canva’s survey, 42% of marketing leaders said empathy and emotional intelligence cannot be fully replaced by AI, while 41% highlighted the value of human imperfection in sparking originality and another 41% pointed to brand intuition and creative judgment. These are the traits that protect brands from AI slop: a sense of when to bend the rules, when to surprise people, and how to express lived experience. Consumers echo this by favouring ads that feel human-led; 74% say they are more likely to purchase from an ad created entirely by humans than one generated by AI. Even younger audiences care more about the feel of an ad than its production method, and many say they are comfortable with AI polish only if real people are still present in the work.
Hybrid Futures: Blending AI Efficiency with Human Touch
The most promising AI marketing trends point toward hybrid models, where AI supercharges research, testing and personalisation while humans shape insight and storytelling. Unilever’s Virtual Cohort system and R&D Assistant show how AI can scan huge data sets—microbiome profiles, hair properties, scientific documents—to inspire new product benefits before a single physical test. On the communication side, similar tools can support personalized advertising that respects boundaries: helpful offers, relevant locations, clear language and sensible timing. Yet Canva’s findings on discomfort with predictive or mind-reading ads show that brands must be careful not to cross the line into intrusion. The path forward is to use AI as a powerful assistant that informs creative teams, while human marketers stay accountable for empathy, ethics, originality and the final message consumers see.