Marketecture: Get Smart. Fast.
Marketecture: Get Smart. Fast.
Ari Paparo
ADCP in Action: Let the AIs Rip with PubMatic & MiQ
22 minutes Posted May 18, 2026 at 1:00 pm.
Introduction to ADCP and Agentic Advertising
Harry Tong and Georgie Haig Introductions
What ADCP Actually Means
Why the Current RTB Ecosystem Needs Improvement
ADCP vs MCP vs A2A Explained
How MiQ Is Using ADCP Today
MiQ’s 98% Campaign Setup Time Savings
Overview of the Live Demo Workflow
Connecting Claude to PubMatic’s Agentic OS
AI-Powered Supply and Product Discovery
Audience Discovery and Signal Recommendations
Creating the Media Buy with AI
Campaign Goes Live Inside PubMatic
Shrinking Multi-Day Workflows into Seconds
Future Features and Automated Optimizations
Biggest Learnings from Testing ADCP
Will Agentic Advertising Become Mainstream?
Final Thoughts on the Future of AI in Advertising
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Show notes
In this Marketecture Live session, Harry Tong from PubMatic and Georgie Haig from MiQ demonstrate how ADCP and AI agents can automate campaign setup, audience discovery, supply recommendations, and media activation in seconds instead of days. They also explore how agentic workflows and open standards are shaping the future of programmatic advertising. 
Takeaways 
ADCP standardizes communication and workflows across the advertising ecosystem. 
PubMatic and MiQ demonstrated live AI-powered media buying workflows. 
Campaign setup times were reduced from days to seconds. 
MiQ reported up to 98% time savings in campaign setup testing. 
Human approval and transparency remain central to agentic workflows. 
Existing RTB infrastructure is being augmented, not replaced. 
AI agents can automate discovery, setup, optimization, and reporting. 
Open standards like ADCP help scale agentic advertising collaboration. 
Buyers gain more visibility into fees and optimization opportunities. 
Early testing and experimentation create long-term competitive advantages. 
Chapters 
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