Connect with us

Hi, what are you looking for?

AI Marketing

UK Advertisers Face 56% Brand Safety Risk from AI Content Surge, Reports IAS

IAS reveals 56% of UK digital media experts cite brand safety risks from AI-generated content, urging enhanced measurement and monitoring ahead of 2026.

Integral Ad Science (IAS) has revealed the findings of its 2026 UK Industry Pulse Report, conducted in partnership with YouGov, which surveyed 220 digital media experts in October 2025. Released on December 8, 2025, the report reveals that the digital advertising landscape is preparing for significant challenges in the face of rapid growth in AI-generated content while prioritizing channels where quality control is increasingly difficult.

Digital video emerged as the foremost priority format for the upcoming year, with 87% of respondents indicating its essential role in 2026 strategies. This marked a notable lead over digital display at 81% and digital audio at 55%. Social media maintained its status as the top environment for investment, with 82% of experts favoring it, followed by influencer marketing at 60% and video livestreaming at 52%. This heightened focus on video and social platforms intensifies the pressure on measurement systems aimed at ensuring brand safety across billions of daily impressions.

Concerns regarding ad adjacency to AI-generated content were prominent, with 56% of respondents identifying it as a major challenge for 2026. The rapid proliferation of machine-generated text, images, and videos on social platforms throughout 2025 complicates efforts to uphold brand safety standards and suitability controls. Yet, amid these worries, 50% of experts expressed optimism about AI developments, recognizing commercial potential alongside the inherent risks. Notably, 42% stated they would exercise extra caution before advertising next to such content.

Quality issues concerning AI-generated content were underscored by the survey, with 68% of respondents avoiding content featuring inaccurate information or misinformation. Sixty-three percent reported they would steer clear of content that cluttered user experiences, while 61% would reject material that plagiarizes existing works. These insights reflect a growing demand among advertisers for distinguishing high-quality AI content from low-value machine-generated offerings aimed at maximizing ad revenue.

The report further highlighted that 40% of media experts see the rising levels of unsuitable AI-generated content as a serious threat to media quality over the next year. This concern echoes industry apprehensions regarding made-for-advertising sites, where fraudulent publishers have leveraged automated content generation, prioritizing impression inventory over user experience.

While social media continues to dominate as a priority environment, 41% of respondents also identified it as facing significant challenges—marking the highest percentage among all media types surveyed. This juxtaposition illustrates the unmatched reach and engagement capabilities of social platforms, coupled with ongoing issues in content moderation and brand safety vulnerabilities.

Influencer marketing is also witnessing rapid evolution, with 77% of media experts affirming it will become a more integral aspect of social media advertising strategies. However, this growth brings increased scrutiny; 79% of respondents indicated that the safety and suitability of influencers will be crucial when advertising adjacent to digital video content. This concern extends to the influencer’s overall online presence, past statements, and potential for controversial behavior that could tarnish brand reputation.

The rise of AI-generated content on social platforms is an area of particular concern for 2026. Seventy-three percent of respondents cited the need for monitoring the increasing prevalence of such content. Additionally, 81% stated that third-party measurement and optimization will be vital in identifying and classifying AI-generated materials, emphasizing the importance of avoiding placement next to deceptive AI content.

As the digital video landscape expands, the need for sophisticated content analysis becomes critical. Eighty-two percent of experts agreed that brand safety will become an escalating concern as the volume of digital video ads increases. Furthermore, 89% highlighted the importance of assessing the brand safety and suitability of influencers when advertising alongside digital video content, underscoring the intersection of creator economy growth and brand protection needs.

Connected TV (CTV) has solidified its role as a key media environment; however, measurement capabilities remain inadequate compared to advertiser needs. Eighty-two percent of respondents acknowledged that brand safety in CTV will become a growing concern as inventory volume and seller numbers rise. Ad fraud is also a pressing issue, with 76% indicating that it will become more concerning as the amount of ad-supported CTV inventory grows.

The study also pointed out that attention measurement is emerging as a critical metric for evaluating CTV ads, with 84% of respondents agreeing it will gain importance. This focus reflects frustrations with traditional completion rate metrics that fail to accurately indicate viewer engagement. Additionally, frequency management challenges in CTV campaigns were highlighted, with 76% of experts stating it will be crucial for measurement platforms to help advertisers avoid excessive ad frequency.

As sustainability practices gain traction among UK publishers, 40% identified the monitoring of carbon emissions from programmatic advertising as their top concern for 2026. This focus contrasts sharply with advertiser priorities, where 78% highlighted ad content adjacency as the foremost challenge. Such disparities indicate that while advertisers are primarily focused on media quality and fraud, publishers are increasingly pressured to adopt sustainable practices.

The findings underscore the need for independent verification providers like IAS and DoubleVerify, which are positioned to meet the demand for enhanced measurement capabilities as the industry grapples with evolving challenges related to AI-generated content and brand safety. With advertisers seeking greater transparency and quality assurances, the landscape appears set for further evolution as stakeholders adopt more collaborative approaches to measurement and verification.

See also
Sofía Méndez
Written By

At AIPressa, my work focuses on deciphering how artificial intelligence is transforming digital marketing in ways that seemed like science fiction just a few years ago. I've closely followed the evolution from early automation tools to today's generative AI systems that create complete campaigns. My approach: separating strategies that truly work from marketing noise, always seeking the balance between technological innovation and measurable results. When I'm not analyzing the latest AI marketing trends, I'm probably experimenting with new automation tools or building workflows that promise to revolutionize my creative process.

You May Also Like

AI Marketing

Generative AI is revolutionizing African banking, driving a projected 600% revenue growth by 2030 while enhancing access and efficiency across the sector.

AI Education

Manik Gupta departs Microsoft Teams after driving its growth to over 320 million users, aiming to explore transformative AI innovations in product development.

AI Generative

60% of enterprises overlook critical security vulnerabilities in generative AI, risking data integrity and compliance as adoption accelerates.

AI Regulation

Bill Gates warns that AI could replace many doctors and teachers within a decade, urging immediate action to mitigate risks of bioterrorism and job...

Top Stories

Google unveils the Universal Commerce Protocol, revolutionizing AI-driven shopping by enabling seamless product discovery and checkout within conversational interfaces.

AI Technology

Nvidia forecasts a staggering $500 billion growth in AI chip demand at CES 2026, citing supply chain pressures and rising market needs.

AI Finance

Financial services firms are pivoting to enterprise-wide AI integration, with 79% prioritizing governance to align initiatives with strategic goals.

Top Stories

Google retracts misleading AI health summaries after revealing inaccuracies in liver blood test information, raising concerns over patient misinterpretation.

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.