AI and Personalization: Threat to Business Models?

The commentary argues that AI-driven personalization and automation offer clear efficiency and growth opportunities for media and advertising, but they also expose structural risks when not embedded in solid data strategy and security architecture. The author warns that fragmented data, poor data quality and delayed security measures limit AI performance and can cause direct revenue and reputational damage—citing an average data breach cost of $4.44 million and attackers remaining undetected for an average of 241 days. Publishers, advertisers and tech partners must prioritise resilient systems, clear data ownership, access controls, monitoring, and tested incident response and recovery plans. The piece concludes that AI’s potential in media monetization depends on integrating technology, process and responsibility to create a stable, scalable business model.