A study by mind Media-366 reveals that 57% of French internet users aged 18 and older employ tools to block online advertisements, a significant increase from 36% in 2016, reflecting a broader trend seen in other Western markets like the UK and Poland. This widespread adoption of adblocking, especially among the younger and more socio-professionally affluent demographics, poses challenges beyond revenue loss for advertisers, as it disrupts data collection essential for calculating Return on Ad Spend (ROAS) and making informed strategic decisions. The study highlights how adblocking creates systemic issues, such as incomplete attribution models, skewed performance analytics, and broken conversion tracking, particularly affecting tech-savvy, high-value demographics. Despite this, 46% of users occasionally disable adblockers, adding complexity to ROAS measurement. As adblocking becomes more prevalent due to mobile and AI-powered browser capabilities, organizations are urged to adopt edge computing solutions and first-party data collection to maintain data quality for AI-driven marketing and customer experience optimization. The corruption of training data for AI systems due to adblocking threatens the effectiveness of modern marketing automation and predictive analytics, emphasizing the need for unbiased datasets. Companies that adapt their data strategies to address these challenges will gain a competitive advantage in an AI-driven future, as adblocking continues to influence the marketing landscape significantly.