AI Realized Podcast

AI is changing how customers discover, evaluate, and buy products.

On AI Realized, Anna Luo introduces the AI Commerce Innovators Circle and explains why agentic commerce is far more than another digital channel. Discover how personal AI agents could reshape shopping, why product-level context determines recommendations, and how brands must move beyond AI visibility to measurable sales. Anna also explores the critical balance between automation, privacy, and human judgment. The future of commerce starts with being recommended.

Hampton Bridwell, co-founder of CorebrandAI and CEO of Tenet Partners, explains how AI turns brand valuation from an annual report into a management system leaders use every quarter. He breaks down the four valuation methods behind the platform, why the valuation engine stays deterministic while AI generates the insights built on it, and why every member of the C-suite drives brand value.

This is the first episode in our special series on agentic commerce. Host Anna Luo, spoke with Chip Knicker of Accenture, Diaz Nesamoney of DaVinci Commerce and Emily Pfeiffer of Forrester about how shopping is becoming a conversation with AI. They explored what that means for how shoppers discover and compare products, and how brands help AI understand their products while creating an experience that feels like their brand.

Lara Shackelford explains how to build an AI go-to-market system, starting with the customer signals it runs on. She breaks down her signal integrity model: semantic consistency, temporal coherence and lineage transparency, and the audit she runs to find where the signals break. She also says where human judgment stays in the workflow, and why the audit comes before the agents.

Video is becoming machine-readable the way text has been for decades, and the unlock is not just replicating the eyes on a situation but the human judgment about it. Alex Gammelgard explains what that opens up across inspection, worker safety, traffic operations, retail and decades of archived game film, and what separates the pilots that scale from the ones that stall.

Attackers and defenders now reach essentially the same AI tools, so what changes is not the balance of power but the speed both sides can move at. Staffan Truvé explains why defending at that speed has to be automated, why the known vulnerabilities you have not patched are the first thing to fund, and why his favorite idea right now is a deception network: a thousand versions of your real system, 999 of them fake, each one a sensor that teaches you how the attacker works.

Blaine Mathieu explains why agentic AI programs stall for strategy reasons rather than technology ones. He breaks down the choice between retrofitting work you already do, which competitors can copy just as easily, and reimagining it, which is harder to copy and more differentiating.

Enterprises keep reading about models. Sharon Goldman argues the story is underneath them, in the systems those models touch: security permissions, usage based billing and its surprise token bills, data that is not ready, and employees told to accelerate who are now told to slow down. She also breaks down the OpenAI and Hugging Face sandbox escape, which was a systems failure rather than a model failure.

Autonomous agents are transforming enterprise operations, but who governs their decisions? Yogita Parulekar explains why AI governance must move beyond models and focus on delegated authority, identity, permissions, and secure-by-design architectures. Learn how leading enterprises are preparing for agentic AI before today's governance practices become tomorrow's weakest link.

Autonomous agents are transforming enterprise operations, but who governs their decisions? Yogita Parulekar explains why AI governance must move beyond models and focus on delegated authority, identity, permissions, and secure-by-design architectures. Learn how leading enterprises are preparing for agentic AI before today's governance practices become tomorrow's weakest link.