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Amazon's AI Auction Trial Exposes Agentic Advertising's Trust Deficit

Amazon's experimental use of AI agents to autonomously bid on ad inventory collides directly with ongoing FTC scrutiny over whether tech platforms prioritize their own advertising interests over advertiser returns. The core problem is structural: when the same company owns the auction platform, the bidding agent, and the ad network, there's no credible third-party verification that the AI optimizes for client value rather than Amazon's margins. Until regulators force genuine separation of these roles or mandate transparent auditing, advertisers will rationally assume agentic systems extract value rather than create it.