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.
The news: Many marketers and salespeople doubt AI’s ability to boost company revenues or customer satisfaction. Some even believe it adds to their workload, signaling a disconnect between AI adoption and employee confidence. Only 39% of marketers and sales professionals in the US and UK are confident that their departments’ use of AI drives revenues, per General Assembly’s AI in Marketing & Sales report. Nearly half (46%) believe AI only somewhat improves the customer experience or doesn’t at all. Our take: Organizations that prioritize tailored training and tie outcomes to KPIs like team efficiency and customer satisfaction could help employees feel empowered and translate AI investments into measurable impact.
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.
The news: A federal appeals court upheld $92 million in fines against T-Mobile and Sprint for illegally selling customer location information (CLI) without proper consent or safeguards. Our take: When building campaigns that use location-based targeting or CLI, marketers should treat consent and transparency as not only legal checkboxes but also strategic imperatives. Brands that clearly communicate how data is collected and used will build trust and better maintain customer loyalty.
The news: OpenAI CEO Sam Altman is warning of a growing AI investment bubble. “Are we in a phase where investors are overexcited about AI? My opinion is yes,” Altman said during a dinner with a group of reporters, per The Verge. Still, he emphasized that AI remains “the most important thing to happen in a very long time.” Our take: Altman’s warning about an AI bubble applies to marketers too. The temptation to chase every shiny new AI tool is real, but teams should develop an AI experimentation roadmap with clear outcomes to avoid wasting resources. Pushing vendors for case studies can help maximize budgets.
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.
The news: Cava invested $10 million in Hyphen, the robotics startup behind Chipotle’s automated kitchen line prototype, which Chipotle has backed. Our take: QSRs’ automation bets signal a broader shift toward augmented labor rather than outright replacement. For Cava, the upside lies in freeing employees for higher-value tasks like hospitality while improving speed and accuracy for digital-first customers. But if automation expands from back-of-house prep into other areas such as beverage dispensing and loyalty-driven upselling, chains will need to walk a fine line. Too much efficiency at the expense of the human touch risks alienating customers who still value personal connection. In the long term, the winners will be those that strike the right balance between efficiency and experience.
The strategy: Agentic AI could redefine how banks detect and prevent financial crime, according to a recent McKinsey report. Our take: Banks are just beginning to pilot agentic AI and explore use cases, but they should prioritize using it in financial crime prevention. This technology will become essential as traditional methods struggle to keep up with increasingly sophisticated criminal tactics: Despite allocating significant resources to KYC and AML efforts, the financial industry only detects about 2% of global financial crime, per Interpol data.
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: Social media is no longer just a branding tool—it’s a commerce engine, particularly among Gen Z. Over half (56%) of US Gen Zers have made a purchase because of a social media influencer, per CivicScience’s 2025 Gen Z Media Consumption report. That’s up from 41% in 2023. 52% of Gen Zers have made a purchase directly on a social media platform, compared with 32% of adults over 30. Our take: Gen Z’s buying behavior is embedded in social-first platforms, where influence equals transaction. Partnerships with nano-influencers, who often have extremely engaged audiences, can help boost reach. Brands should test direct in-platform checkout integration on social media to boost conversion and capitalize on growing ecommerce options on platforms like TikTok and Instagram.
The news: YouTube is facing user backlash after rolling out its AI-powered age-verification system in the US. Many users are furious, per TechRadar, citing concerns about “mass surveillance and data control.” The age-verification AI estimates a user’s age based on viewing patterns, search history, and account age. If it flags a user as under 18, YouTube automatically applies teen safety restrictions like disabling personalized ads, limiting content availability, and turning on digital well-being tools. Our take: Disabling personalized advertising for flagged accounts will disrupt retargeting models and reduce audience reach. Marketers focused on Gen Zers on YouTube should prepare for reduced targeting precision and to shift toward context-driven campaigns or diversify across other platforms.
The news: Instagram is testing a feature that lets users select their favorite movies, books, TV shows, games, and music to encourage intentional sharing and discovery. The offering, called Picks, then surfaces overlapping interests between friends to drive engagement. It’s still an internal prototype and isn’t being tested externally yet. Our take: Effectiveness will depend on user adoption, stickiness, and whether shared Picks sparks meaningful interaction or is perceived as just another data-harvesting ploy. If Picks launches, brands should be ready to experiment with interest-based messaging but prepare to navigate privacy sensitivities.
The news: Last year, we covered predicted growth in specialized insurance, including cybersecurity protection, because of the rising costs of data breaches. Allianz Life’s recent incident is further proof why such protection and precautionary measures are imperative. Why this matters: As a result of this data breach, Allianz Life faces financial and reputational costs that could affect its bottom line for years. This is a powerful reminder for the entire insurance industry to strengthen its cybersecurity defenses. Preventing attacks requires a proactive and comprehensive strategy beyond simple perimeter defenses.
The news: The podcast ad market is maturing and evolving past an experimental medium into a reliable resource for repeat advertisers and larger test budgets. Q2 podcast ad spending grew 28% YoY and 17% quarter over quarter (QoQ), per Magellan AI’s latest Quarterly Benchmark report. Our take: Podcast audiences are high-intent, highly engaged listeners. Maintaining a positive user experience means advertising remains effective and trusted. Marketers should use podcasts as a bridge medium, not just for conversions, but for brand memory and affinity.
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.
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: Google is turning search results into a customizable, algorithmic feed. The search giant is rolling out Preferred Sources, which allows users to select their favorite blogs or news outlets to appear the most in the “top stories” section. The feature aims to help users see more content from their favorite sites, per Google. Our take: If search results become a more limited discovery engine, news sites and blogs may need to rely more heavily on traffic through alternative sources. Joining blogging sites like Medium and Substack could help maintain visibility and surface new readers who will add them as preferred news sources, considering the platforms’ focus on content discovery.
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.
The news: 88% of mobile app ad spend is concentrated on Google and Meta, per Moloco’s Performance Through Independence report, despite high user engagement with independent apps. Advertisers who diversified their ad mix beyond the two Big Tech giants saw return on ad spend (ROAS) improve by up to 214%. Our take: Independent mobile apps offer untapped ROI. Reducing reliance on Google and Meta by diversifying mobile app spend could boost reach, hedge against platform risks, and better align with user behavior, especially as privacy challenges threaten to reshape targeting and measurement.
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.