The advertising industry’s age and experience mix is shifting fast. In the US, entry-level roles are shrinking as automation replaces routine tasks, while in Australia, “juniorisation” favors younger, digitally fluent hires over seasoned veterans. Agencies face a balancing act—bringing in Gen Z talent to master AI-driven tools and authentically shape campaigns, while retaining senior expertise crucial for strategy, oversight, and client trust. Without a robust entry-level pipeline today, the industry risks a future shortage of homegrown leaders just as marketing grows more complex.
The news: New data from Digital Content Next revealed that Google AI Overviews lead to as much as a 25% decrease in publisher referral traffic, reinforcing brands’ and publishers’ ongoing concerns over the tech’s adverse impact on content effectiveness. Our take: AI Overviews will continue usurping referral traffic from publishers, meaning that the brands who last will be those who adapt to the change rather than fight it. Brands must optimize for AI visibility, not just search rankings.
Hogarth CEO Richard Glasson says AI hasn’t diminished creativity—it’s made craftsmanship more essential. By pairing genAI with human expertise, Hogarth is reengineering production to meet nonstop content demands without sacrificing cultural nuance or brand voice. In an era when 54% of marketers fear AI will erode creativity, the agency’s hybrid model positions craft as the premium differentiator.
The news: Apple could soon renew its smart home and robotics plans with a slew of products. The hardware giant is planning an AI-enabled tabletop robot, per Bloomberg, a smart home camera, and a smart speaker with a display. This could all be accompanied by a major Siri upgrade built on large language models (LLMs). Our take: This could be Apple’s biggest ecosystem play since the iPhone. If successful, it could drive growth in a post-iPhone era, reestablish Apple in the AI game, and usher in a new era of home-based intelligence.
The news: Apple is bringing back blood oxygen monitoring for Apple Watch as part of its health and wellness features. Apple discontinued the feature in the US in 2023 after a patent dispute and court ruling forced the halt. The takeaway: Apple still leads smartwatch brands with a 22% market share, but its dominance has slipped. Health and wellness features incorporating AI assistance are key for future growth. Tech companies should market wearables as health tools for consumers, especially to older demographics who have greater health needs but lower smartwatch adoption rates.
The news: Microdramas may be the next big thing on mobile, at least that’s what a new Hollywood startup is hoping. MicroCo plans to use AI to help create 1- to 3-minute vertical-video shows meant for the mobile screens. Microdrama seasons would be 30- to 100-episode arcs—think telenovelas in short bursts. Our take: Microdramas are a growing venture and are ideal for the quick-hits crowd occupying social media. MicroCo could come out ahead if it can create and monetize buzzworthy content. While brands have the opportunity to advertise within short videos, they might fare better creating their own microdramas to appease consumers who are tired of ads.
The news: Advertisers are broadening how they use AI tools for marketing campaigns beyond data analysis, per a report from DoubleVerify. Nearly half (46%) of advertisers plan to use AI for creating media strategies in 2025, up slightly from 2024. An equal percentage of marketers are using AI for bidding optimization and mid-flight plan optimization. Our take: Widespread AI adoption in marketing is inevitable as AI tools proliferate across industries. Success hinges on how, not if, marketers implement the technology. Consumers are more likely to trust brands that are transparent about how they use AI in their ad materials.
AI search startup Perplexity shocked the industry with an unsolicited $34.5 billion all-cash bid for Google’s Chrome browser—despite Chrome not being for sale. The offer comes as a US court weighs whether Google must divest Chrome after an antitrust ruling, and positions Perplexity as a ready operator if a spin-off is ordered. Even if the deal never closes, the move amplifies Perplexity’s profile, pressures Google, and underscores the growing importance of distribution channels alongside model quality in AI competition.
The news: Google announced an expanded use of AI to combat invalid ad traffic in a bid to help advertisers preserve budgets and maintain trust, per a recent blog post. Though Google has previously used AI to prevent invalid traffic (IVT), the company has updated its “industry-leading defenses powered by large language models,” with the goal of better analyzing ad placements, suspicious user interactions, and app and web content. Our take: By taking concrete steps to reduce IVT and address transparency concerns, Google may begin to rebuild trust with advertisers.
The news: OpenAI’s GPT-5 could be the start of ChatGPT becoming a transaction-driven super app that monetizes user intent, not attention. GPT-5’s router—which analyzes queries and decides how hard to “think” based on complexity—lets OpenAI invest more resources during high-intent moments like “compare hiking boots under $200” or “best smart TVs for co-op gaming.” Prioritizing queries with high commercial value could help OpenAI monetize users not through ads but via affiliate or take-rate revenues, per SemiAnalysis. Partnerships with Shopify and others suggest that monetization stack is already on the way. Our take: A full-service ChatGPT that’s intuitive enough to guide full shopping journeys inside a chatbot while keeping backend costs minimal could rewrite the AI platform’s business model. Brands should be working to optimize for AI-native commerce and integrate with agentic tools.
The news: Despite consumers’ rising use of AI agents for search, shopping, and discovery, brands are falling behind on generative engine optimization (GEO) strategies. 47% of brands have no deliberate GEO strategy or have no idea if they appear at all in AI agent responses, per a new report from Cordial. Another 47% have only just begun optimizing content for AI discovery. Our take: To boost visibility, brands should optimize for conversational context and create structured, machine-readable content that AI can index, like clear website FAQs, TL;DR summaries, and detailed product specs. Expanding presence across social platforms that feed AI training models, such as Reddit, Quora, and YouTube, can also improve chances of surfacing in AI-generated responses.
Data privacy and security are the top concerns of 73% of C-level executives worldwide regarding AI implementation, according to an April BearingPoint survey.
The news: GenAI models can easily be influenced to perpetuate false health facts when they’re fed made-up medical terms and information, per a new Mount Sinai research published in Nature last week. Our take: As more consumers rely on open GPT models for health answers, misinformation and intentional disinformation pose growing risks to both personal and public health. There’s an opportunity for healthcare and pharma marketers to step up science-based AI marketing and communications, such as Pfizer’s custom genAI medical query tool Health Answers that sources answers from medical journals and peer-reviewed research.
The news: Nvidia is facing a new obstacle in its ability to sell chips to China—Chinese authorities are urging ByteDance, Alibaba, Tencent, and others to halt purchases of Nvidia hardware. This follows an agreement between President Donald Trump, Nvidia, and AMD that requires the two companies give the US government a 15% cut of Chinese chip revenues in exchange for permission to sell hardware there, per Bloomberg. Our take: ability to develop and deploy AI models for things like algorithm recommendations, content moderation, and generative AI (genAI) features. Marketers should diversify their AI-powered marketing tools to stay ahead if TikTok’s ad products and UX features develop more slowly.
For advertisers, the increasing fragmentation within the search landscape can be quite frustrating and challenging. “But for consumers it feels like ease and convenience," said our analyst Sarah Marzano on a recent episode of "Behind the Numbers." "We're able to conduct product searches wherever we're spending time and go on a journey that's tailored to the mindset we're in."
Elon Musk plans to sell paid placements within Grok’s AI-generated answers, marking his first major advertiser pitch since Linda Yaccarino’s departure. Grok, X’s in-house AI assistant built by xAI, will integrate ads directly into responses, offering brands high-intent, context-driven targeting. The move comes as X’s global ad revenues, projected at $2.26 billion in 2025, remain roughly half of pre-Musk levels. Musk says Grok will eventually automate the full ad-buying process, from creative grading to personalization, aiming to improve efficiency and performance. With user growth declining in every major region, the strategy hinges on whether brands trust Musk’s AI-led vision enough to re-engage.
The news: The release of OpenAI’s long-awaited GPT-5—a frontier model the company originally expected to launch in summer 2024—hit turbulence almost immediately. Despite high expectations, early users reported the model felt sluggish and less capable than GPT-4o, labeling it “kinda mid.” It’s a surprising letdown for what was billed as a major leap forward. Our take: Marketing and communications remain stubbornly human domains for now. If AI could fully replace them, OpenAI’s own product announcements would run like clockwork. Instead, the debut of one of the world’s most advanced AI models was labeled an avoidable public relations headache, showing that even cutting-edge technology may be remembered less for what it can do and more for how it was introduced.
The news: Meta’s strategy of hiring its competitors’ top AI engineers reflects the industry’s urgency to ramp up capabilities and get to artificial general intelligence (AGI) first—CEO Mark Zuckerberg stated that was the company’s objective in “delivering personal superintelligence for everyone,” per ZDNET. Our take: Meta is betting big—on people, not just products. This strategy offers speed, proprietary insight, and technical capacity. But it also raises scrutiny from investors and customers expecting it to pay off. Marketers should track Meta’s progress and watch how it integrates newly acquired AI knowledge. If successful, this shift could reinvent ad targeting, creative automation, and user modeling at scale.
The news: Content demands are growing faster than budgets, pushing marketers toward AI as a way to keep up. Even as automation increases, ad agencies remain crucial partners for executing and scaling campaigns. Two-thirds (67%) of global employees working in marketing and communications use AI for content creation frequently or all the time, per 10Fold’s AI-First, Buyer-Ready report. That surge in AI adoption is accompanied by ambitious output goals: 91% plan to increase their content output this year, and nearly half (45%) expect to produce three to five times more than before. Our take: The future of content marketing isn’t AI versus agencies—it’s a combination of both. Hybrid models that combine in-house human and AI-powered creation with agencies’ expertise in strategy, distribution, and optimization can help maximize budgets, maintain brand voice, and keep up output as demand rises.
On today’s podcast episode, we discuss if Google is actually fending off the AI search competition, what its AI Overviews are doing to search behavior, and why growing AI search usage might not necessarily translate into a booming ad business. Join our conversation with Senior Director of Podcasts and host, Marcus Johnson, Senior Director of Briefings, Jeremy Goldman, and Principal Analyst, Yory Wurmser. Listen everywhere you find podcasts and watch on YouTube and Spotify.