Sireesha has been herself in the industry for years now, working both agency and platform side, advising the C-suite on growth, go-to-market, and data governance and she's driven ML and AI adoption for the biggest brands in the world.. She began on the agency side, so she's seen this transformation from every seat. If anyone understands what it takes to get an organization to truly embrace AI in media, it's her.

The person who turned human attention into a live, machine-run auction now says the

paradigm he built is running out of road — and he’s oddly thrilled about it. In this episode,

Brian O’Kelley traces the leap from cookies-and-rectangles to agentic media, where AI

agents buy from AI agents and offline channels like linear TV and radio finally come online.

But the real subject is reinvention: how to unlearn the ideas that made you, bet on an

exponential curve while everyone else thinks linearly, and use decades of scars to make

different mistakes instead of repeating old ones. He’s candid about collaboration as a

contact sport — when to say no, when to pluck weeds — and lands on a surprising principle

for the AI age: mentorship. Listen if you’re staring down a reinvention and wondering

whether your experience is baggage or your sharpest edge.

Taige Eoff, who takes Google’s Agentic Data Cloud to market, offers a clear-eyed reality check: the rails are here, but the behavior isn’t. He splits the future into three layers — agentic media buying (already at high platform adoption), agentic commerce (barely automated), and agent-to-agent negotiation (still sci-fi) — and argues the bottleneck isn’t the models, it’s us.

The real work is unglamorous: refining mission-critical data, breaking the silos between data teams, leadership, and AI engineers, and building governance you can actually audit. If you’re staring down your own reinvention and tempted to chase the exciting stuff first, listen. Taige’s case for “governed autonomy” is a blueprint for building foundations that outlast every hype cycle.