The news: Meta will spend more than $10 billion on Google Cloud over six years, making it one of Google’s largest-ever contracts, per CNBC. Despite running its own data centers and using Amazon Web Services (AWS) and Microsoft Azure, Meta’s growth requires additional cloud capacity. The deal demonstrates how even fierce ad rivals can align when AI demands massive computing scale. Our take: When it comes to AI, the old rules of competition no longer apply. Cloud rivals are forced into uneasy alliances to remain competitive as infrastructure demand explodes. For AWS and Azure, keeping pace with Google Cloud means doubling down on custom silicon, broadening AI partnerships, and proving they can deliver the scale and neutrality that Google is now signaling to the market.
The news: 46% of US adults check their phones between 10 and 50 times per day, per a YouGov survey, presenting brands with a strong opportunity to create sticky, habit-forming mobile experiences. Sixty-four percent of survey respondents have at least one paid mobile app subscription, showing that consumers are willing to pay if apps provide solutions to users’ needs. Our take: B2C marketers looking to drive subscriptions or paid features need to ensure apps deliver immediate, ongoing value that users will turn to daily. For apps that can’t hit the bar of essential utility, a freemium or ad-supported model can offer more realistic monetization paths.
The news: Snap is seeking outside funding for its AR Spectacles as it struggles to compete with Meta platforms and TikTok, per The Information. Our take: Bringing in outside capital could help Snap accelerate AR development without draining its core business. The possibility of gathering outside investment also highlights how critical Snap’s AR bet has become and how high the stakes are. Staying competitive requires Snap to prove Spectacles can evolve past a niche hardware play and compete with strong AI alternatives. If it can’t, Snap may get stuck in the middle, overshadowed by platforms that are faster, bigger, and richer.
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.
The news: YouTube Music is celebrating its 10-year anniversary with a slate of new features, bringing it closer to serving as a full Spotify replacement. Our take: As music platforms evolve into social ecosystems, brand strategies should adapt from passive ad placements to active participation. Testing new ad formats in Taste Match playlists and comments could provide organic brand presence, while partnering with artists who already bridge YouTube’s properties opens access to engaged, music-first communities.
The news: Google is bringing Gemini AI to the living room. Starting in October, Gemini for Home will replace Google Assistant on Nest speakers and displays, per The Verge. Gemini for Home opens new channels for contextual, voice-driven ad engagement inside households. With millions of Nest and Google Home devices expected to get the upgrade, the scale is massive and the stakes are high. Our take: Gemini for Home lets Google fuse search ads with household AI. But winning against Amazon will depend on trust, adoption, seamless ad integration, and pricing. Google’s challenge is making its service compelling enough to drive adoption and subscribers.
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: 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: 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: 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: 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: 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: 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: 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.