The AI Readiness Gap: Why Advertising’s Infrastructure Is Holding Intelligence Back
In the first two parts of this series, we focused on the present tense of advertising’s infrastructure problem. This final chapter looks at what comes next...AI.
In the first two parts of this series, we focused on the present tense of advertising’s infrastructure problem. This final chapter looks at what comes next...AI.
For years, programmatic advertising has been optimized for humans: dashboards, knobs, manual workflows, and layers of abstraction designed to help people keep up with machines...that era is ending.
Designed for agencies and brands adopting AI-operated buying, enabling any agent to control planning, bidding, and optimization through a single open execution layer
In the first part of this series, The Fragmentation Paradox, we showed how too many tools and fractured workflows grind teams down. This second chapter looks at something even more alarming: what all that fragmentation does to the money.
If you ask people in advertising what their biggest challenge is right now, most won’t say identity. Or cookies. Or measurement. Or even AI.
For more than a decade, programmatic buying relied on systems that delivered automation and scale, but offered limited visibility into how decisions were made. But those constraints are now harder for agencies to justify.
For years, independents were told they couldn’t match the scale or sophistication of the holding companies. That story is over.
Kaminsky to Help Drive Rapid Expansion of Operational Infrastructure for the Industry's First Composable, Agentic-Enabled Media Platform
We brought a group of ten independent agency leaders to Infillion HQ for a wide-ranging discussion about their pain points, challenges, and opportunities. Within minutes, one topic dominated: AI’s growing role in reshaping how agencies work, pitch, and profit.