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Overlap bets that brands will shift their ad spend from platforms like Meta to performance-based AI agents that create viral organic content. This reframes the service from a simple editing tool to "relevancy as a service," tapping into a much larger advertising TAM.

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OpenAI is rapidly shifting from high-priced, impression-based ads to conversion-oriented campaigns that bill based on user actions. This pivot is a direct response to advertiser pressure for measurable results, showing even a hyped platform like ChatGPT must prove its value with performance metrics to compete with Google and Meta.

The next evolution, the Generative Ads Recommendation Model (GEM), aims to fully automate ad creation. Marketers will simply provide an image and a budget, and the AI will generate the entire ad library. This shifts the marketer's primary value from ad creation to optimizing the post-click customer journey and offer.

OpenAI's advertiser pitch extends beyond placing ads in ChatGPT. By also offering its AI tools like Codex to automate ad campaign creation and management, it signals a broader ambition to build a full-stack, AI-powered advertising ecosystem that can compete directly with Google and Meta.

OpenAI is strategically focusing its new performance-based ad tools on small and medium-sized businesses (SMBs). This lucrative segment, historically dominated by Google and Meta, is highly dependent on measurable ROI, creating an opportunity for OpenAI to capture ad spend from businesses eager for effective new channels.

Instead of competing with ad dollars flowing to AI chatbots, AI marketing unicorn Profound sees its organic optimization tools as complementary. The company plans to build advertising functionality directly into its platform, creating a single workbench for both paid and organic AI marketing strategies.

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.

Advanced AI tools can now produce video ads with realistic avatars that are so effective they are starting to replace the entire user-generated content (UGC) ad stack for large advertisers on platforms like Meta, signaling a major shift in creative strategy.

As consumers increasingly use AI assistants for discovery, the key to success will be strategically blending paid placements and organic, helpful information within these multi-turn conversations. This convergence is an emerging opportunity that few are discussing.

The future of TV creative involves a convergence with influencer marketing, powered by AI. Instead of producing one expensive commercial, brands will leverage AI tools to generate and test hundreds or thousands of creative variations from influencers, optimizing for the best-performing content on the fly.

Ads on platforms like ChatGPT operate in an "intelligence economy" where user intent is high and explicit. Unlike the "attention economy," which focuses on capturing eyeballs, this new model allows brands to serve users who are actively describing their problems, creating a more contextual and valuable interaction.

The future of advertising may be replacing paid ads with AI-generated organic content | RiffOn