"Let's look beyond the generalized AI hype to a more actionable and immediate trend: using Model Context Protocol (MCP) and its advertising-focused cousin, Ad Context Protocol ( ) as critical accessibility tools. Understanding where AI agents make financial sense today versus where they remain an expensive dream is the difference between building a sustainable competitive advantage and burning through your margins in pursuit of buzzwords."
"MCP/AdCP can provide a fresh perspective, allowing you to unlock genuine value and drive concrete results in today's rapidly evolving advertising landscape. The economics are in constant flux The cost structure of AI is shifting beneath our feet. Token prices fluctuate. Model quality improves monthly. What was economically unviable six months ago might be table stakes today, while what seems affordable now could become obsolete next quarter."
Agentic AI in advertising holds promise but is not universally cost-effective today. Model Context Protocol (MCP) and Ad Context Protocol (AdCP) offer immediate, practical accessibility that can unlock measurable value when applied to the right workflows. AI cost structures are highly volatile: token prices change, and model quality evolves rapidly, shifting what is economically viable. Deploying agents to analyze campaigns, optimize creative, or evaluate audiences is a bet on current cost structures. Small-computation workflows like setup, performance evaluation, and optimization decisions are close to being economically viable, while careless use can erode marketing margins.
Read at AdExchanger
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