DoubleVerify finds 63% of North American marketers wary of AI creative
A report from DoubleVerify reveals that 63% of North American marketers are concerned about using AI in creative workflows, citing quality issues and brand safety as primary risks. While consumers show some openness to high-quality AI-driven ads, 42% report that low-quality or 'uncanny' AI content significantly damages their perception of a brand.
Key Takeaways
- 63% of North American marketers are reluctant to use AI for ad creative, 15 points higher than the global average.
- 42% of consumers report that low-quality or uncanny AI content negatively affects their opinion of a brand.
- Only 50% of North American consumers believe AI tools improve their online experience, compared to 63% globally.
- Marketers are more concerned about ads appearing alongside low-quality AI content (53%) than high-quality AI environments (45%).
- LATAM and APAC show the highest enthusiasm, with 69% and 68% of consumers respectively reporting improved experiences via AI.
Why It Matters
The persistence of the "uncanny valley" represents a significant friction point for the rapid automation of streaming ad creative. For platforms and publishers, this caution suggests that AI-driven cost efficiencies in asset production may be offset by brand equity risks if quality standards are missed. The data indicates that unless AI creative is indistinguishable from high-end human production, it risks triggering a 42% brand sentiment penalty. Within the broader ecosystem, this creates a market for verification tools that can audit AI creative quality before deployment. Watch for whether specific streaming platforms introduce 'human-certified' or 'premium AI' badges to reassure cautious North American buyers.
Additional Context
The DoubleVerify findings align with a growing industry-wide tension between the speed of AI adoption and the preservation of brand differentiation. According to Forrester research from June 2026, while 90% of US marketing agencies have embedded generative AI into their workflows, there is an increasing risk that prioritizing productivity over creative quality is undermining long-term brand growth. This is further supported by Adobe data from early 2026, which found that the percentage of practitioners capable of delivering experiences that "surprise and delight" fell from 25% to 14% over a 12-month period, suggesting that mass-produced AI content may be commoditizing brand identities.
Simultaneously, the financial incentive for adoption remains high despite the reputational risks. Per Salesforce's State of Marketing report in June 2026, 87% of marketers now use generative AI in at least one recurring workflow, a massive jump from 51% in early 2024. Major platforms are also seeing significant revenue impact; Meta recently reported that its Advantage+ AI-driven ad campaigns reached a $20 billion annual revenue run rate, with over 4 million advertisers utilizing its generative tools. However, Digital Applied data from March 2026 warns that when a consumer identifies an ad as AI-generated, purchase intent can drop by 14%, complicating the ROI narrative for brands.
Regulators are also stepping in to address the transparency concerns highlighted by the DoubleVerify study. While US oversight remains fragmented at the state level, the European Union's AI Act has entered phased enforcement as of 2025, mandating strict disclosure and risk-classification for AI-generated systems. This regulatory pressure, combined with the 42% negative sentiment recorded among consumers for 'uncanny' content, is driving a shift toward verified AI. Industry bodies like the IAB have responded by releasing new guidance in late 2025 for managing AI crawlers and content authentication chains to protect brand safety.
Read full article at mediapost.com
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