On today’s podcast episode, we discuss our ‘very specific, but highly unlikely’ predictions for the future of digital in 2026 and beyond. Why browsers will become the new AI battleground, what does it mean if agentic AI doesn’t take over shopping, and can GenAI actually lead to more of the jobs it can easily destroy? Join Senior Director of Podcasts and host, Marcus Johnson, Senior Director of Briefings, Jeremy Goldman, Principal Analyst, Sara Marzano, and Vice President of Content, Paul Verna. Listen everywhere and watch on YouTube and Spotify.
Despite recent tariff challenges, Amazon continues to show impressive growth while experimenting with longer Prime Day events and exploring new AI ventures.
The news: Meta’s new auto-translation feature for Reels could simplify global content sharing. The AI-powered translation tool can automatically dub and lip-sync Reels on Instagram and Facebook into other languages, including English, Spanish, and Portuguese. It’s available to Facebook creators with at least 1,000 followers and to all public Instagram accounts. Our take: Creators and brands should lean into short-form multilingual content to maximize audience reach and watch for engagement spikes in views in unexpected regions to identify new markets and audiences worth targeting.
Audience customization is the top GenAI use case for marketers who produce multiple versions of video ads (42%), per a March Interactive Advertising Bureau (IAB) survey.
The news: AI dominated Wednesday’s Made by Google event, where the company unveiled its Pixel 10 lineup. Google pitched Gemini as “personal intelligence,” framing it as a universal AI assistant across smartphones, wearables, smart homes, and connected cars. The showcase feature, Magic Cue, anticipates user needs by pulling data from Gmail, Calendar, and Messages to suggest timely actions. Our take: If features like Magic Cue prove indispensable, Google gains a recurring revenue stream and deeper ecosystem lock-in. If they fade as gimmicks, Pixel risks remaining a niche brand, especially if competitors can provide similar apps or services.
The news: Publishers are tackling AI scraping with a new strategy—pay per crawl. Rather than one-time licensing deals, usage-based compensation models would have AI companies pay publishers and content providers based on how often their work is used in AI-generated responses. Our take: These usage-based models could be a more equitable deal for publishers whose content powers AI engines that are earning tens or hundreds of millions of dollars per year. To avoid getting locked out of monetization, brands should act now to review existing content agreements, explore licensing opportunities, and push for fairer models that recognize the value of original content.
The news: Google Ads is ending manual language targeting, taking over a significant element of campaign management. In lieu of manual targeting, Google’s AI will detect user language automatically using signals such as language settings and historic search activity. Our take: Brands should consider auditing current campaigns to identify where automated language detection might create gaps and establish safeguards, such as breaking out campaigns by region or market and including clear, native-language text in headlines and descriptions to signal intended language to both users and Google’s systems.
Retailers have built lucrative revenue streams from retail media networks (RMNs), leveraging on-site ad inventory and first-party transaction data. As the potential grows for consumers to shop through AI agents instead of retailer sites or apps, those data streams and ad surfaces are at risk.
The news: As entry-level roles for younger hires shrink, ad schools are retooling their programs to promote AI fluency and skills. Miami Ad School, Virginia Commonwealth University’s Brandcenter, and London’s School of Communication Arts are adding AI education curriculum focused on concepting, campaign execution, and portfolio development, per Adweek. Our take: CMOs who understand how AI is reshaping both entry-level roles and leadership expectations will be in a better position to build resilient, AI-ready teams. However, companies shouldn’t focus only on hiring junior employees with existing AI literacy—keeping resources open to train both new and current workers as AI evolves will encourage a diversity of skills and experience on staff.
On today’s podcast episode, we discuss how the world’s largest online retailer is weathering tariffs so far, the biggest takeaway from Prime Day, and why Amazon’s AI future could be wearables. Join our conversation with Senior Director of Podcasts and host, Marcus Johnson, Senior Director of Briefings Jeremy Goldman, and Analyst, Rachel Wolff. Listen everywhere you find podcasts and watch on YouTube and Spotify.
ChatGPT saw 52.2 million US unique visitors in June, up 180.6% from last July, per Comscore.
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: 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.
Data privacy and security are the top concerns of 73% of C-level executives worldwide regarding AI implementation, according to an April BearingPoint survey.
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."
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.
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.
The news: We recently covered Wells Fargo’s early entrance into the agentic AI realm. And we recommended that other financial institutions (FIs) explore how they could implement it, too—regardless of size. Now a smaller FI, Michigan-based Family Financial Credit Union, has announced its partnership with fintech start-up Algebrik AI to implement a new digital lending suite, per a press release. Why this matters: Family Financial Credit Union will be one of the first smaller FIs to go public with its agentic AI offering. If it proves successful and customers like the experience—which could in turn draw more business to its loan products—it could inspire other institutions to pursue similar partnerships and offerings. We expect many more FIs of all sizes to announce agentic AI pilots in the near future.
The news: Apple Intelligence could integrate OpenAI’s GPT-5, its latest model that combines traditional ChatGPT capabilities with deepo3-series reasoning, as early as next month, per 9to5Mac. Updates for a more personalized and intelligent Siri, originally expected in the iOS 18.4 update, were delayed in March until sometime “in the coming year.” GPT-5 could accelerate that timeline and give Apple a more robust foundation for a truly conversational, autonomous assistant Our take: Marketers and publishers should prepare for reduced visibility through traditional search if assistants like Siri can effectively answer user queries directly. Focus on generative engine optimization (GEO) for conversational AI discovery—think FAQs on websites and succinct answers that large language models (LLM) can easily surface.
53% of marketers in North America cite data analysis and insights as the top bottleneck slowing down marketing cycles, according to an April GrowthLoop and Ascend2 survey.