AdTech AdTalk

Adam and Gareth return for an absolute blockbuster episode of Adtech Ad Talk, kicking off with the biggest breaking news in the industry: Publicis and The Trade Desk have officially buried the hatchet and are back in the room together. To celebrate the end of this fierce corporate feud, the guys debut an incredible, AI-generated southern rap track summarizing the high-stakes reconciliation.The duo tackles the shifting dynamics of the AdTech landscape, breaking down why the hard binary split between the buy-side and sell-side is fundamentally dissolving as platforms move toward unified execution environments. Gareth unpacks how Meta's post-ATT pivot allowed them to perfect their "Andromeda" value function, driving an insane $50 billion optimization lift completely independent of traditional user IDs. Finally, they pull back the curtain on the "nasty" reality of dynamic take rates and hidden arbitrage in the middle, explore why the smartest marketing teams are born out of hyper-competitive industries like CPG, and feature a stunning, jarring viewer submission in Creative Corner.Key Topics:- Publicis & The Trade Desk Reunite: Breaking down the end of the feud and the power dynamics of their new handshake.- The Dissolving Buy/Sell Divide: Why legacy, siloed DSP/SSP integrations are giving way to single-environment optimization.- Meta's Post-ID Blueprint: How Apple's privacy changes forced Meta to build a superior, multi-feature recommender system.- The Dynamic Take Rate Trap: Unpacking how middleman platforms exploit averaging bounds to harvest massive margins from publishers.- Creative Corner: A powerful, unforgettable print ad highlighting period poverty and institutional shame.00:00 Intro: An Amped-Up Friday Blockbuster01:36 World Premiere: The Publicis & Trade Desk Reconciliation Rap05:23 Pre-Cannes Musings & The Certainty of Change06:18 The History of Failed DSP/SSP Mergers (Rubicon & Chango)08:08 The Death of the Legacy Buy-Side vs. Sell-Side Mindset11:32 Harvesting the Spread: The Advertiser's Right to Alpha14:18 The User ID Imbalance and Pacing Complexities16:02 How Apple's ATT Birthed Meta's $50B Recommender Engine18:41 The Looming AI Carnage for Unprepared Agencies22:55 The Rise of MCP and Direct Data Set Access25:31 Smartitude: Ranking Clients by Industry Competition26:30 The "Mafia State" of Publisher Arbitrage and Last Look28:29 Why Competition is the Only Way to Raise Publisher CPMs30:20 The Secret Rules of Transparency Pricing in CTV32:55 Beyond Taxonomies: Scoring Attributes on a Spectrum34:36 The Legacy of Cognitive (The OGs of Custom Modeling)35:46 Obstacles in the Trade Desk API (An Accidental Origin Story)37:02 Creative Corner: A Uniquely Jarring Print Ad from South Africa37:37 Outro: Bringing Back the Beat

Adam and Gareth dive into a philosophical and wide-ranging episode centered around the Pope's new encyclical on Artificial Intelligence. They unpack the Vatican's fears regarding humans becoming mere metrics, rising economic inequality, and the manipulation of truth. Gareth discusses the Pope's comparison of AI to the Tower of Babel—warning that a single homogenizing technology could eliminate human diversity and spirituality.The duo also explores why the AI boom is effectively the "Industrial Revolution for white-collar workers," threatening knowledge workers while leaving manual labor untouched. They debate the growing epidemic of "AI slop" on LinkedIn, the bizarre rise of AI-generated "talking toe fungus" affiliate ads, and a startling BYU study claiming a massive percentage of committed adults are having affairs with AI chatbots. Finally, Adam compares programmatic ad networks to brokerages and custom AI valuation models to hedge funds, explaining why enterprise brands need bespoke decisioning architectures (like Coke vs. Pepsi) rather than aggregated averages.Key Topics:The Pope's AI Encyclical: Analyzing the Vatican's warning against AI monopolies and the "Tower of Babel" effect.The White-Collar Industrial Revolution: Why LLMs pose a unique threat to writers, lawyers, and consultants.AI Chatbot Affairs: Reacting to a BYU study on the rise of AI chatbot romances among committed adults.Brokerages vs. Hedge Funds: Why massive enterprise advertisers need custom valuation models instead of aggregated ad network averages.90s Foreshadowing & AI Ads: From the 1994 Singapore caning to AI-generated toe fungus commercials.00:00 Intro, Tampa Weddings & Cannes Prep04:15 The 1994 Singapore Caning & 90s Foreshadowing09:53 AI-Generated Toe Fungus Ads10:53 The Pope's Encyclical on AI14:55 AI Liability & The Anarchist Cookbook17:01 The Industrial Revolution for White-Collar Workers24:51 Outsourced Cognition & LinkedIn "AI Slop"28:28 The Pope's True Fears: Metrics & Inequality31:05 The Tower of Babel Narrative38:29 The BYU Study on AI Chatbot Affairs45:46 Coke vs. Pepsi: The Flaw in Averaged AI Models55:16 Brokerages vs. Hedge Funds in Ad Tech59:03 SpaceX's S1 & Twitter Ad Revenue01:03:46 OpenAds Pivots to a DSP

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

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

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

Adam and Gareth are joined in the virtual studio by Laura Manning, SVP of Data and Measurement at SINT. They break down the fundamentals of Brand Lift 101, explaining how SINT acts as the infrastructure matching survey-takers across the internet with relevant ad exposure data. Gareth details exactly why traditional attribution models fail massive enterprise brands like Procter & Gamble. The trio also discusses the agonizing eight-year waiting list to get into Google's Ads Data Hub (ADH), and why allowing walled gardens to report their own brand lift metrics is essentially letting them grade their own homework. Finally, Adam explains why the shift from linear broadcast to digital resulted in an "epidemic of waste" due to algorithms driving frequency instead of true reach.Key Topics:- What is SINT: Acting as a DSP for online research that matches respondents with surveys.- Attribution vs. Brand Lift: Why enterprise CPG brands don't rely on clicks and e-commerce tracking.- The "O" Word: Using survey response data via API to actually optimize campaigns in real-time.- The White Whale: SINT's years-long quest to integrate with Google's Ads Data Hub.- The Reach Problem: Why digital algorithms inherently favor frequency over reach, unlike traditional linear TV.00:00 Intro00:57 Introducing Laura Manning & SINT 06:40 Attribution vs. Brand Lift 08:28 How SINT Measures Brand Lift 12:10 Standard Survey Questions 14:12 The "O" Word (Optimization) 25:16 Google's Ads Data Hub 28:50 Linear TV vs. Digital Reach 39:10 Post-Mortem: Is Brand Lift a "Cope"?

Adam and Gareth log in to the virtual studio to unpack a week of industry backstabbing, gossip, and the true meaning of "transparency." While the industry argues over who is to blame for the lack of clarity in programmatic, the duo highlights a quote from Hershey's Vinnie Rinaldi, arguing that it's ultimately up to advertisers to demand proof of value rather than just hunting for low CPMs.The guys break down the evolution of the enterprise market, explaining why CFOs don't care about vanity metrics like Video Completion Rates when evaluating a $100 million digital investment. They discuss how brands are starting to apply the same rigorous causal inference models to ad tech that they currently use for their physical supply chains.Plus, a deep dive into the CTV ad server wars (Freewheel vs. Publica vs. SpringServe), a look at OpenAds' rapid pivot from LLM networks to a creative-first DSP, and a spicy prediction on what Netflix should (and probably will) do with its burgeoning ad business.Key Topics:The Transparency Debate: Why agencies and ad tech nerds define "transparency" completely differently.The Value of Digital Media: Why the enterprise market must move past vanity metrics and demand real ROI proof.Supply Chain Logic: How brands are treating ad tech data like logistics data.CTV Ad Serving: The rise of Publica and SpringServe, and why legacy players missed the boat.Netflix's Ad Future: Will they open up to biddable programmatic, or build a walled garden for SMBs?00:00 Intro: Virtual Sets & Industry Gossip03:09 Jay Friedman & Vinnie Rinaldi on Transparency08:37 Why Advertisers Must Demand Value11:38 The Enterprise Wake-Up Call (CFO Scrutiny)16:14 Applying Supply Chain Logic to Ad Tech22:02 The "Agentic" Layer Debate24:31 Why Publishers Still Love Direct Sales28:14 SSPs Becoming DSPs (The Blurring Lines)30:30 The CTV Ad Server Wars (Freewheel vs. SpringServe)32:16 The Rise of Retail Media Ad Servers38:09 Vinnie Rinaldi's Media Playbook42:49 OpenAds Pivots to Creative AI46:16 Why Publishers Feel Betrayed by Programmatic49:06 Speculating on Netflix's Ad Strategy55:05 The Danger of Hiding Publisher Data01:00:45 Closing Thoughts: Models & World Peace

Adam and Gareth return from their respective conferences (RampUp and Beeler Basecamp) to unpack a massive news week in the ad tech world. The duo dives straight into the "knife fight" of sell-side monetization, unpacking why publishers are getting bullied over ads.txt files and why managing prebid auctions is a brutal, low-margin business.Then, they pivot to the biggest stories of the week: The Trade Desk’s soft guidance, the market’s overreaction, and why everyone needs to stop freaking out about OpenAI having meetings with Jeff Green. Plus, they explore the wild theories behind AppLovin’s explosive stock growth, debate whether "performance" is still a moat in 2026, and roast the increasingly aggressive AI bots sliding into LinkedIn DMs.00:00 Intro: Conference Exhaustion & Beeler Basecamp03:03 The Ads.txt Bullying Problem05:46 The Knife Fight of Publisher Yield Management08:24 Publisher CPMs vs. Buy-Side Costs16:08 TTD Earnings & The Market Overreaction23:44 OpenAI Meets with The Trade Desk28:51 Will OpenAI Compete with Google Search?32:00 Anthropic vs. OpenAI: The Enterprise AI Race48:07 Postmortem: AppLovin's Google Playbook51:30 The "Street Thesis" on AppLovin's Growth58:43 StinkedIn: Aggressive AI Bots & "Negging"

Adam and Gareth are back to sort through the noise in an episode packed wall-to-wall with industry drama. From the Pentagon to the Cayman Islands, it’s a pure news day on AdTech AdTalk, and the theme is "Carnage."First up, the guys unpack Anthropic's "woke AI" feud with the Pentagon and Palantir, complete with a bizarre Gen-X fun fact about Peter Thiel's childhood in Namibia. Then, they tackle the slow adoption of AI by CMOs, debating whether "Agentic AI" is actually driving innovation or just finding new ways to cut jobs.The drama heats up as they cover Jeffrey Epstein's strange (and brief) connection to programmatic futures, the controversy over ICE buying location data, and the explosive Digiday report about WPP and Dentsu pulling out of The Trade Desk's Open Path over hidden fees. Plus, Adam and Gareth weigh in on the ADCP vs. ARTF standards "showdown," Mark Zuckerberg's landmark child safety trial, and why LinkedIn's search bar remains the worst product on the internet.00:00 Intro: Cold Weather & Ad Tech Carnage02:34 Anthropic, The Pentagon & Woke AI06:04 Peter Thiel's Namibian Childhood09:44 CMOs & Slow AI Adoption11:53 The Day of the Yellow Square16:41 Sheep Dogging the Algorithm22:40 Agentic Buzzwords vs. Real AI27:18 Jeffrey Epstein's Ad Tech Connections30:42 ICE's RFP for Location Data36:56 Digiday Scoop: Agencies Exit Open Path46:01 Agency Rebates to the Cayman Islands49:22 Showdown: ADCP vs. ARTF Standards53:41 Zuckerberg Testifies on Child Safety58:24 Intent IQ's Cross-Device Patent Lawsuit01:01:00 StinkedIn: The Worst Search Bar Ever

In this special episode, Adam and Gareth present a deep dive into the industry's most complex new standard: The IAB Tech Lab’s Agentic Realtime Framework (ARTF).The duo uses three distinct metaphors to break down how "Containerization" is moving the ad auction to the edge. They explain how High-Frequency Trading (HFT) infrastructure revolutionized finance (and why ad tech is next), why the modern DSP should be treated like a Bento Box rather than a prix fixe meal, and how the history of Shipping Containers predicts who will actually get rich from the AI boom (hint: it’s probably not the AI companies).Featuring guest commentary from Index Exchange and OpenX, this episode cuts through the noise of "Agentic AI" to explain the actual plumbing, how 1-millisecond microservices are unbundling the stack and restoring yield to publishers.00:00 Intro: The "Container Explainer"01:08 Metaphor 1: High-Frequency Trading & Flash Boys04:46 Containerization vs. Colocation06:08 The Meditation (100ms vs. 1ms)08:50 Metaphor 2: The Bento Box (Unbundling the DSP)11:00 The Agentic Framework Architecture12:56 Metaphor 3: Shipping Containers & Value Capture16:09 Prebid’s Legacy: Moving Integration to the Edge19:10 The DSP Identity Crisis: Enterprise vs. SMB21:08 Intro to ACRONYM (Non-Profit)22:00 Index Exchange on Sell-Side Decisioning24:54 OpenX on Unbundling & Data Security26:00 Future Use Cases: Mutations & Bid Shading29:12 ARTF vs. ADCP: What’s the Difference?32:50 Closing Thoughts: Collaboration is Key

Things are getting spicy on AdTech AdTalk. Adam (Buy Side) and Gareth (Sell Side) are joined by the industry’s unofficial oracle, Mike McNeeley (SVP of Product, Index Exchange), to tackle the erosion of trust in the programmatic supply chain.The trio dives deep into the controversy of "publisher-declared fields", why letting sellers grade their own homework is leading to ID spoofing, and why the OpenRTB spec is long overdue for a rigid overhaul. Mike pulls back the curtain on how Index Exchange polices inventory quality and why "friction" is a necessary feature, not a bug.Later, the crew pivots to product management philosophy, debating how to build for "fragmolidation" without over-engineering. Plus, they break down the massive news that Amazon is adopting Prebid (a win for open standards?), and Gareth roasts the "robotic m-dash" plaguing everyone's LinkedIn feeds.00:00 Intro & The Ad Tech Oracle02:39 The Lying Field Problem 04:41 OpenRTB Specs 10107:32 The Stock Market Fraud Analogy 10:56 Who Is Accountable for Fraud? 12:44 Index Exchange’s Quality Gates 17:45 Fixing the OpenRTB Spec 22:25 Brand Safety Lag Kills News 26:14 Salience vs. Suitability 29:49 Scaling Product Teams 35:48 The "Loss URL" Rabbit Hole 43:00 Agentic Frameworks & Sidecars 46:11 WSJ: CEOs vs. Workers on AI 48:03 Stop Using AI for LinkedIn 53:45 The "Tinder for Networking" Idea 58:07 News: Amazon Adopts Prebid1:02:30 A Win for Open Standards 1:08:21 Rapper Wars & Snowfalls

It is officially 2026, and Ad Tech Ad Talk is back from CES with a massive announcement. In this episode, Gareth Glaser finally unveils Gamera, his new inventory quality company that has officially moved out of stealth and into the funded startup phase.Gareth delivers his "investor spiel," breaking down why Facebook generates $130B with only 25% of the internet's traffic, while the Open Web lags behind. The thesis? It’s not just about audience data; it’s about inventory taxonomy. Gareth explains how Gamera uses code-on-page technology to automate inventory description, replace archaic manual tagging, and verify impressions in real-time.Adam and Gareth also debate the "Agentic" buzzword fatigue coming out of Vegas, review Pubmatic's new "Agentic OS" (is it Hot Sht or Horsesht?), and discuss the existential threat to search traffic as AI reshapes the web.

In the final episode of 2025, Adam and Gareth look back at a chaotic year in ad tech and look forward to the "fewer, better pages" of the future. The duo tackles the persistent myths plaguing the industry, from the zombie-like return of domain spoofing (it's solved, guys) to the shady practice of ad stuffing via carousels.Adam rails against the concept of "scale" as a software problem (it's not) and the wasted time of digital media planning, while Gareth makes the case that video placement misdeclaration is the #1 issue we need to kill in 2026. They also debate whether agentic AI is just a fancy way to automate sales houses and if guaranteed deals are obsolete in a programmatic world.Plus, a look at Pinterest's move into CTV, why LiveRail ruined ad tech M&A for a decade, and a special shoutout to the LinkedIn Year-In-Review spam.0:00 Intro & Pontiac Intelligence Shoutout 02:18 Holiday Party Anxiety & The "Irish Exit" 04:47 The AI Year in Review: Trials & Tribulations 08:23 Did The Trade Desk Actually care about Performance in 2025? 13:12 MYTH BUSTING SEGMENT BEGINS 15:26 Myth #1: Domain Spoofing is Still a Huge Problem 19:45 Myth #2: Resellers & Ad Stuffing (Carousels) 25:14 Myth #3: Video Placement Misdeclaration (In-Stream vs. Out-Stream) 30:33 The Future of Open Web: Fewer, Better Pages 39:40 Myth #4: "It Doesn't Scale" (The First Principles of Audience) 43:40 Myth #5: Privacy Laws Prevent Reach Measurement 45:49 Myth #6: You Need DoubleVerify for Brand Safety 47:48 Myth #7: Digital Media Planning is Essential 50:14 Myth #8: Agentic AI Benefits Advertisers (Where's the Value?) 52:02 Why Guaranteed Deals Don't Make Sense Programmatically 54:58 StinkedIn: The Worst Year-End Wrap-Ups 57:34 AI Phishing Emails Getting Too Good 58:45 Outro & 2026 Preview