Google’s ad tech remedies trial kicked off Monday as the search giant looks to prevent an ad tech breakup that would fundamentally alter the future of the open internet. If successful, the DOJ’s case against Google would reshape how open-web ads are bought and sold. Multi-billion dollar opportunities will open for competitors, potentially creating a more competitive—but less predictable—ad tech landscape for advertisers.
Brands and agencies are embracing generative AI (genAI) to create highly localized and personalized campaigns at scale. At a recent Automattic event, marketing leaders highlighted how new technology makes previously cost-prohibitive efforts feasible. The advertising industry has shifted from fear to fluency—recognizing that AI fills gaps and scales output but that people decide what resonates. While agencies two years ago feared AI would displace creative jobs, today, they see human craft as the element that gives AI-generated work meaning. For marketers, the strategy is to invest in AI tools but prioritize upskilling teams to direct them.
MrBeast’s Feastables brand is under fire after the Children’s Advertising Review Unit (CARU) flagged multiple practices that may have misled children or mishandled their data. Concerns included undisclosed promotions in videos, a misleading “blind taste test” against European chocolates, sweepstakes that encouraged bulk purchases, and collection of under-13 data via pop-ups. The case signals a broader shift: influencer-led brands are now being held to the same advertising and disclosure standards as traditional advertisers, with potential regulatory and reputational risks for creators and partners alike.
Google introduced new features for Demand Gen campaigns and said it will publish monthly, newsletter-style updates to keep marketers on track with the latest Demand Gen updates. Google is moving to chip away at advertisers’ black-box concerns by adding more visibility, measurement, and testing options into Demand Gen, signaling its push toward greater transparency and control for campaign performance.
TikTok’s US operations may soon be spun off into a new entity majority-owned by American investors, with Oracle, Andreessen Horowitz, and Silver Lake leading the deal. The framework, aimed at complying with the 2024 divest-or-ban law, would give US investors roughly 80% control while ByteDance retains under 20%. The sticking point remains TikTok’s algorithm—whether ByteDance licenses its technology or a US-controlled version is rebuilt. For marketers, continuity is key: any disruption in recommendation performance, targeting, or data oversight could alter ad outcomes on one of their most important platforms.
Amazon sellers using sponsored product ads now have access to Amazon’s Marketing Cloud clean room. Amazon’s expanded access to its clean room solution will enable SMBs to measure and optimize campaigns with the same sophistication as enterprise advertisers while allowing the ad giant to accelerate its push against larger rivals.
What CMOs say they expect to gain from AI: Efficiency and cost savings top the list of perks the industry hopes to gain from the disruptive tech.
Zendesk’s integration of OpenAI’s GPT-5 into its customer service stack has resulted in 30% faster response times, 95% reliability, and resolution of up to 90% of tickets in some cases, per VentureBeat. Fewer handoffs, quicker response time, and higher reliability are wins for both brands and customers. But there’s a catch—over-reliance on automation risks alienating users who still want a human touch when problems get tricky. For CMOs, lean into AI for speed and scale, but keep people in the loop to protect trust and brand experience.
Warner Bros. Discovery has sued AI image generator Midjourney, alleging “mass theft” of copyrighted TV and film IP. The complaint highlights prompts producing near-identical images of characters like Bugs Bunny, Batman, Superman, and Scooby-Doo. Disney and NBCUniversal filed similar claims, arguing Midjourney diverts consumers from licensed products while profiting from subscriptions. Studios seek damages up to $150,000 per infringed work. The case raises critical questions over whether training AI on copyrighted content qualifies as “fair use.” With marketers already using AI image tools at scale, the lawsuit underscores mounting legal, financial, and reputational risks tied to unlicensed generative content.
The news: Mistral, a French AI company founded by former Meta and Google DeepMind employees, unlocked premium features including persistent memory, deep business app integrations, and user-controlled privacy on its Le Chat platform at no cost, per VentureBeat. This undercuts rivals like OpenAI and Anthropic that wall off such tools behind paywalls and paid premium. Our take: Free enterprise-grade AI features and cross-platform integrations accelerate adoption, experimentation, and innovation. By enabling data export between AI providers, brands cut switching costs and gain leverage in an interoperable AI market.
The news: Google has cut 35% of managers overseeing small teams, part of a sweeping drive to streamline operations. The focus: fewer layers, less bureaucracy, and a leaner leadership footprint. Many managers now serve as individual contributors, per CNBC. Our take: Google’s rapid thinning of management aims to make the tech giant more nimble and cost-efficient. The realignment signals a company eager to do more with less—possibly speeding decision cycles and innovation, but also tightening access to internal advocates and resources. Leaner teams could mean faster product rollouts and ad platform tweaks—but also less support and fewer points of contact for advertisers inside Google’s vast marketing machine.
Google staff are quietly preparing Ad Manager for life as a potential stand-alone company, per The Information. Employees recently met with ad agencies—an unusual move for a publisher-facing business—as a federal court considers whether Google must divest its ad tech unit. Ad Manager generates an estimated $5 billion in annual revenues but faces declining demand and complaints from streaming players and publishers about slow innovation. With DOJ regulators pressing for a spinoff and rivals like Magnite and PubMatic gaining ground, Google’s outreach underscores how seriously it views the threat of breakup and the need for buyer-side relationships.
Google’s AI-powered video creation platform, Vids, has surpassed 1 million monthly active users, fueled by a new free tier and updates that simplify production. Features include motion effects for product photos, AI transcript editing, Google Meet integrations, and expanded social formats. Paid users retain advanced options like multi-style AI avatars. The adoption highlights rising demand for scalable video workflows—46% of professionals already use AI for images or videos, per EMARKETER. With ideation and personalization ranking as top genAI use cases, Vids is positioning itself as a daily creative tool, potentially joining Docs and Slides in Google’s productivity suite.
On today’s podcast episode, we discuss the unofficial list of the most interesting retailers for the month of August. Each month, Arielle Feger, Becky Schilling, and Emmy Liederman (aka The Committee) put together a very unofficial list of the top eight retailers they're watching based on which are making the most interesting moves: Who's launching new initiatives? Which partnerships are moving the needle? Which standout marketing campaigns are being created? In this month's episode, Committee members Arielle Feger and Emmy Liederman will defend their list against Principal Analyst, Sky Canaves and Senior Analyst, Blake Droesch, who will dispute the power rankings by attempting to move retailers up, down, on, or off the list.
Google is enhancing its retail ad offerings with loyalty-driven personalization tools aimed at retention. New features include personalized pricing and shipping perks for loyalty members, a “loyalty mode” in Google Ads’ retention goal to optimize for high-lifetime-value customers, and personalized annotations in Performance Max campaigns. Sephora, an early adopter, reported a 20% lift in click-through rates from loyalty-focused annotations. The launch comes as loyalty ranks high on shoppers’ holiday priorities and as CMOs lean on loyalty programs to bolster first-party data. With Amazon pulling away from Google, the updates position Ads as a retention engine in the retail fight.
The news: A majority of US adults are ready for AI to take their bosses’ jobs. 73% said they’re behind AI having a role in hiring, firing, and budgets, per a new ResumeNow survey. 69% are fine with AI monitoring for productivity purposes. Our take: 41% of C-suite professionals are concerned about the ethical use of AI, per Bearing Point. AI can quickly become a yes man, confirming decisions that might not be in a company’s best interest. Balance and oversight are key when adopting AI solutions. Using AI for hiring and budgeting will help streamline those processes, but AI decisions need to be monitored to keep bias and hallucinations in check.
A leaked Adweek-reviewed file details how The Trade Desk partners with 49 retailers worldwide to sell ad placements built on shopper data. The document reveals steep markups and inconsistent rules: Albertsons charges up to 45% of media costs, Best Buy limits custom audiences, Costco sets $100K minimums, and Walmart imposes fees capped at $3.50 CPMs plus measurement charges. Other retailers add restrictions around ad categories or approvals. The leak highlights both the value and complexity of retail media as brands chase audience targeting tied directly to transactions. Transparency remains a challenge, with costs and conditions varying widely by partner.
On today’s podcast episode, we discuss what AI Overviews are doing to search behavior, some potential new business models for the internet, and how much “AI slop” might encourage folks to decrease their time on the web. Join Senior Director of Podcasts and host, Marcus Johnson, Analyst, Grace Harmon, and the CEO and Founder of CMO Huddles, and host of the Renegade Marketers Unite podcast, Drew Neisser. Listen everywhere and watch on YouTube and Spotify.
Acxiom, IPG Mediabrands, and IRIS.TV have partnered to launch Acxiom Contextual CTV, a privacy-safe targeting tool powered by IRIS_ID. The solution analyzes content context—genre, subject, tone—without using personal identifiers, addressing rising privacy concerns as cookies disappear. Already present in 17–40% of US bidstream inventory, IRIS.TV enables more accurate targeting, while early pilots show higher video completion rates and stronger brand lift. Publishers benefit too, with CPMs rising as much as 25%. With CTV ad sales projected to hit $46.9 billion by 2028, this approach could set a new industry standard for performance, compliance, and contextual relevance.
The news: CEO Mark Zuckerberg has reorganized Meta Superintelligence Labs (MSL) into four units focused on research, superintelligence, products, and infrastructure, per The New York Times. Meta further splitting its AI division, which it spun off in June, underscores both ambition and internal turmoil as it races rivals like OpenAI and Google. Our take: Meta’s public growing pains show it won’t sit out the AI race, even if upheaval is the cost. Its future direction will have wider implications—if Meta leans into closed AI models, the shift could reshape how outside developers and partners interact with its platforms. For advertisers, the signal is clear: Expect fresh AI features in Meta’s ad products, but brace for volatility as Meta struggles to align its people, platforms, and technology.