The old digital media strategy of rapid scaling via social platforms failed because those audiences were not truly owned. They belonged to Google and Facebook, exhibiting no loyalty to the media brand itself. The new focus is on building direct, dedicated audiences.

As ad platforms like Google automate bid management, an agency's value is no longer in manual "button pushing." The new competitive edge is the ability to feed the platform's AI with superior client data and insights. Agencies that cannot access and leverage this data will struggle to demonstrate value.

While competitors focus on subscription models for their AI tools, Google's primary strategy is to leverage its core advertising business. By integrating sponsored results into its AI-powered search summaries, Google is the first to turn on an ad-based revenue model for generative AI at scale, posing a significant threat to subscription-reliant players like OpenAI.

While other AI companies are hesitant, Google is expected to lead LLM ad integration. As a company built on ads, it is culturally positioned to implement monetization quickly and effectively, unlike competitors that may view ads as a necessary evil rather than a core competency.

As platforms like Google consume media traffic, brands can no longer rely on placing ads next to content. They must become the content destination themselves. The strategy is to build a direct relationship, often via an app, winning "the battle of the storefront on your phone" and reducing dependency on paid channels.

AI conversations capture high-intent moments, allowing ads to target active decision-making rather than passive attention-grabbing like social media. This fundamental difference could lead to significantly higher average revenue per user (ARPU), making social media's ad performance a floor, not a ceiling for AI platforms.

Like Kayak for flights, being a model aggregator provides superior value to users who want access to the best tool for a specific job. Big tech companies are restricted to their own models, creating an opportunity for startups to win by offering a 'single pane of glass' across all available models.

Despite platform fragmentation, Digitas's CEO argues the job of advertising is fundamentally the same. For a data-driven "quant," the North Star has always been whether an action drove sales. The challenge isn't new complexity, but rather marketers clinging to outdated, unmeasurable goals like "setting culture."

Meta's core moat is its ability to solve the classic advertiser's dilemma: knowing which half of their ad spend works. By providing granular data on impressions, conversions, and ROI, it created what Pat Dorsey called the perfect advertising platform.