Reasoning
AI-generated content is already proliferating rapidly—estimates suggest 10-30% of online content will be AI-generated by 2025, with some projections reaching 90% by 2029. Public health communication effectiveness typically depends on signal clarity and audience trust; historical precedent from misinformation saturation (COVID-era studies showed 34% reduction in vaccine intent with high misinformation exposure) suggests similar degradation curves apply to diluted signal environments. However, organizations with adequate resources (WHO, CDC, major health systems) can employ verification strategies and privileged distribution channels, partially offsetting saturation effects. The question requires "measurable" reduction by 2029 (5 years), and evidence of efficacy decline in saturated environments is already emerging in academic literature on digital fatigue and trust erosion, making this trajectory likely if unchecked.Key uncertainty
Whether regulatory frameworks (potential AI content labeling requirements, platform accountability standards) and institutional adaptation strategies deployed between now and 2029 could substantially mitigate saturation effects before measurement thresholds are reached—current policy momentum is slow, but accelerating EU/US regulatory interest creates meaningful upside risk to current institutional resilience.