More than half of Australian consumers will downgrade a brand that uses shoddy artificial intelligence creative or places ads next to low-grade synthetic content. The finding signals a sharp boundary for marketing teams adopting generative tools, where weak execution directly damages brand reputation instead of improving reach.
The cost of low-quality AI creative
Research commissioned by DoubleVerify shows 53 percent of Australians respond negatively when AI-generated advertising looks uncanny or poorly executed. Only 17 percent report an improved brand perception under those conditions. When the same audience encounters polished AI work, the reaction splits evenly: 29 percent see a brand boost, 36 percent notice no change, and 35 percent remain skeptical. Deploying AI does not automatically hurt a business, but sloppy output makes the technology visible for the wrong reasons. Teams experimenting with Generative Art should treat the output as a starting point rather than a finished asset.
Placement risks in conversational AI
Advertising inside chat environments presents a separate set of problems. Twenty-six percent of Australians viewed ads within AI platforms positively, while 33 percent reacted negatively and 41 percent felt indifferent. The emotional tone of the conversation heavily influences reception. Forty-five percent said ads appearing alongside sad or negative prompts would hurt their view of the brand. Forty-two percent opposed ads in highly personal exchanges, and 41 percent rejected them when the ad ignored the chat context. Even when an ad matched the conversation perfectly, only 27 percent responded favorably. Positive sentiment for AI platform ads reached 53 percent across the broader Asia-Pacific region, highlighting how much more cautious Australian audiences remain.
Marketers share these reservations. Fifty-five percent expressed concern about advertising within AI platforms, and 59 percent worried about appearing beside low-quality generative material. Conrad Tallariti, managing director for Asia-Pacific at DoubleVerify, summarized the tension between opportunity and risk. "The advent of AI is creating new opportunities for advertisers to engage APAC audiences," he said. "However, there are new concerns such as the ability to measure the quality of AI chat ads and challenges such as AI slop that is not just a threat to media quality but to brand equity as well."
The industry is already tracking the volume of problematic output. DoubleVerify reported blocking more than 500 million impressions tied to low-quality generative content during the first half of 2026. That synthetic material spans multiple categories, including travel, technology, violence, sports, and vehicle-disaster footage. Broad topic exclusions will not filter it out. Traditional media metrics improved across the region last year, with fraud dropping 49 percent and combined viewability standards rising 4 percent. Brand-suitability violations fell slightly to 7.5 percent, which remains above the global average.
Why this matters for creatives
Creative teams now own the standard for AI output before it reaches media buyers or placement algorithms. Weak prompt engineering, unedited model artifacts, and rushed iterations will trigger the exact consumer backlash documented in the survey. Establishing strict quality gates for synthetic assets, enforcing human review on all generated visuals and copy, and mapping ad placements to appropriate conversational contexts will protect brand equity. If your workflow relies on AI for Creatives techniques, treat the output as a raw draft rather than a final deliverable. Audiences will judge the completed product regardless of which tool produced it.
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