AdTech AdTalk

I'll Take Any Test You're Willing To Take

Adam and Gareth reunite to unpack an explosive Q2 in ad tech, kicking things off with the "triple hockey stick" growth driving Meta’s 33% revenue surge. The guys discuss how Meta’s ruthless AI shift and integration of massive server compute is crushing Google in the enterprise ad market, and why Google's strategy of over-servicing holding companies is backfiring.They also dive into the backlash against Trade Desk CEO Jeff Green and his "open internet" messaging, debating why retail media networks (RMNs) are growing so fast despite the inherent conflict of interest between retailers and CPG brands. Plus, Gareth explores the terrifying new "split brain" architecture between DSPs and SSPs, Adam makes the case for why "barter" and "trade" agencies still exist to liquidate bad media buys, and they examine how Swivel's new agentic tools are finally bringing automated, human-like operations to Connected TV (CTV) yield management.Key Topics:Meta's AI Dominance: Why Meta’s massive AI efficiency is crushing Google in the enterprise ad market, despite Google's bloated service teams.The Trade Desk Backlash: Unpacking the industry's frustration with Jeff Green's "open internet" pitch and why the growth numbers don't match the story.Retail Media Networks (RMNs): Why companies like Kroger and Albertsons won't share their data, and how it hurts CPG advertisers.The End of "Getting Lost": A philosophical take on how AI tools are stripping younger generations of resilience and problem-solving skills.Agentic Ad Ops (Swivel): How new AI agents are outperforming human traders in the CTV market by running 100 manual interactions per hour.00:00 Intro: Hangovers & Detroit Style Pizza04:55 Defending Jeff Green’s "Open Internet" Pitch11:15 Q1 Earnings: Meta Crushes the Competition13:12 The Conflict Within Retail Media Networks (RMNs)20:49 Why Amazon Built Ad Tech from Scratch22:50 The Risk of a Google Display Network Collapse25:27 Swivel's Agentic CTV Case Study34:04 The Problem with Barter and Trade Agencies41:19 The "Split Brain" Architecture of DSPs vs. SSPs48:39 Postmortem: The IAB Tech Lab's New DTE Standard57:30 Cash Patel and The Ad Tech Investigations01:00:23 Closing Thoughts: Why We Need ACRONYM

The Grand Bargain (ft. Matt Sattel, OpenX)

Adam and Gareth return to the virtual studio to debate the definition of Supply Path Optimization (SPO) and why the sell-side and buy-side can never seem to agree on what it actually means. They are joined by OpenX CEO Matt Sattel to discuss his transition from the agency world to the SSP side, and why OpenX made the expensive, grueling leap to cloud infrastructure back in 2019 to prepare for the AI era.The trio unpacks the industry's so-called "Grand Bargain," debating whether a multilateral committee can truly fix the adversarial relationship between DSPs and SSPs. Gareth argues that ID Bridging is secretly a brilliant conversion-optimization engine in disguise, while Adam pitches his "Premium Coffee" theory to explain how publishers can finally escape the MFA (Made For Advertising) race to the bottom. Plus, a look at why 50% of programmatic ad requests are filtered out, and what OpenX really means by their new "Intelligent SSP" rebrand.00:00 Intro: The "Bright Lights" of Live Shows03:03 The Arc of the Sophisticated CMO06:56 Introducing Matt Sattel (CEO, OpenX)10:04 The Two Definitions of SPO13:16 The Premium Coffee Theory (Escaping MFA)14:52 Filtering Out 50 Billion Requests a Day16:41 The "Grand Bargain" Between Buyers and Sellers19:39 Gareth's Take: ID Bridging is Actually Optimization24:14 The True Cost of Eliminating MFA27:28 Google's Role in the MFA Epidemic32:41 The "Lego Baseplate" Strategy38:42 Why OpenX Moved to the Cloud in 201944:07 Direct Sales & Agentic Buying (ADCP)51:30 Differentiated Demand for Publishers57:40 The Intelligent SSP Rebrand

Claude the Gaude (ft. Adam Markey)

It's an all-Adam episode this week! With Gareth out, Adam Heimlich is joined by stealth startup founder and product leader Adam Markey to discuss the reality of building an ad tech company from scratch in the AI era.The guys dive deep into the philosophy of AI adoption, contrasting Anthropic's enterprise-focused "Constitutional AI" against OpenAI's consumer-driven, entertainment-style models. Markey shares how using Claude as a "full-stack" co-founder has drastically reduced product development cycles from six months to just three days. Plus, they explore why treating AI as a "replacement human" is the wrong starting point, how to avoid AI-generated "slop" in both creative and media planning, and why Anthropic's $20 billion valuation might actually be justified if they can maintain their compounding context moat.Finally, they touch on the IAB’s Agentic Realtime Framework (ARTF), the return of "frenemy" collaboration in ad tech, and why Meta's insane 33% revenue growth is tied directly to their massive investments in server compute.00:00 Intro: Welcome to Planet Ad Tech03:45 Bootstrapping a Startup in the AI Era06:40 Using AI for Complex Rule Prioritization08:13 Anthropic vs. OpenAI: Enterprise vs. Consumer12:03 Claude’s "Compounding Context" Moat14:28 Building a RevOps Dashboard in 2 Hours16:45 Change Management and Full-Stack Founders19:59 AI as a Force Multiplier, Not a Replacement25:35 The Value of Markdown Files for Context28:06 AI as the Ultimate Information Condenser32:28 Anthropic’s Path to Profitability37:25 Working with Google’s "Stitch" Design Agent39:07 The Edge of AI: Humor, Differentiation, and "Slop"44:09 Agentic Standards (ADCP & ARTF)51:03 Advice for Product Managers at Legacy DSPs53:50 The Enterprise Rush to Adopt AI59:49 Meta's 33% Growth and the Server Compute Race

Triple Hockey Stick

Adam and Gareth dive into a chaotic start to Q2 in ad tech, leading off with Meta's jaw-dropping "triple hockey stick" growth in revenue per employee. They discuss how Meta’s ruthless AI shift—including tracking employee keystrokes for training data—is driving massive margins, even as hands-on buyers complain about constant bugs and platform outages.The guys also cover the rise of "Index Cloud" and Bedrock (a DSP living natively inside an SSP), explaining why the traditional DSP/SSP divide is collapsing and how this new architecture enables ultra-low-latency bidding for live sports. Plus, Gareth goes on a rant about the rampant QPS duplication problem in programmatic, they debate the return of Vickrey (Victory) auctions, and they react to a spicy $18M legal battle between TV measurement giants EDO and iSpot. Finally, Adam shares his frustration with the IAB's new Programmatic Governance Council and pitches his own "ACRONYM" coalition to guarantee 80% working media for advertisers.00:00 Intro: An Explosive Start to Q201:36 We Are in the Third Inning of AI in Ad Tech04:23 Meta's "Triple Hockey Stick" Revenue per Head05:15 Tracking Employee Keystrokes for AI Training09:08 The Broken Meta Ad Experience & Bugs16:19 Meta's Internal AI Models (Andromeda & Muse Spark)20:14 Can the Open Web Compete with Walled Gardens?30:37 News: The Trade Desk Launches AI Agents31:39 Index Cloud & Bedrock (A DSP Inside an SSP)37:59 Data Scientists vs. DSP Engineers43:21 The 3 Million QPS Myth & Bid Duplication45:31 Vickrey Auctions and Bid Shading48:22 EDO vs. iSpot: The $18M Lawsuit & Spicy Quotes50:45 The IAB's New Programmatic Governance Council51:54 ACRONYM & The Push for 80% Working Media57:56 The Lutnick / Epstein Ad Tech Connection

Dynamic Bulldinky

Adam and Gareth reunite in the virtual studio after a week apart, and they have a lot of philosophical ground to cover. Gareth shares a bizarre realization about startup growth—comparing a mature company to a "disembodied brain"—and how AI is acting as the ultimate force multiplier for lean teams. They debate the value of the "founder struggle," questioning if the current generation of entrepreneurs will lose resilience now that AI can write complex code and solve technical crises in 30 seconds.On the industry front, they tackle the latest IAB Tech Lab standard (DTE) and whether "traffic shaping" is just a polite word for throttling. Gareth explains why the "split brain" architecture of DSPs and SSPs makes optimal decisioning impossible, and why the Agentic Realtime Framework (ARTF) is the only real fix. Plus, a look at Allbirds pivoting from sneakers to AI data centers, the rise of AI-generated "slop" on LinkedIn, and why Salesforce's new Agentforce might be a desperate defense against Claude disintermediating their entire business model.Key Topics:The Disembodied Brain: How a startup evolves as you hire, and what it means when AI becomes your hands and feet.The Death of Getting Lost: Does the convenience of AI tools strip founders of the resilience needed to survive crises?Traffic Shaping vs. Throttling: Breaking down the IAB's new DTE standard and the architectural impossibility of the "split brain."Allbirds Pivots to AI: Why the market rewarded a failing DTC sneaker company for becoming a GPU rental service.Salesforce vs. Claude: Is Salesforce's Agentforce a true innovation, or a defensive moat against demand aggregation?00:00 Intro: Adam Returns from Vacation01:05 Startup Burn Rates & The "Disembodied Brain"03:08 AI as a Force Multiplier04:24 The Value of the Founder Struggle06:22 The 90s: When You Could Actually Get "Stood Up"11:32 AI "Slop" and the Premium on Human Content16:49 Can AI Replace the Enterprise Sales Playbook?19:51 The 15 Commitments of Conscious Leadership24:39 The OpenAI "Molotov" Backlash30:12 What Knowledge is Playbookable?35:54 News: Allbirds Pivots from Sneakers to AI39:31 IAB Tech Lab's New DTE Standard41:19 The "Split Brain" Problem in Ad Tech48:39 Postmortem: ADCP vs. ARTF (The IAB Standard Wins)01:01:46 Salesforce's Agentforce vs. Claude