Google’s Gemini surpassed longtime leaders like OpenAI’s ChatGPT and Meta’s Threads to become the No. 1 free iPhone app in the US App Store. Downloads surged due to the viral success of its Nano Banana AI image-editing feature, which sparked intense social media engagement, per ZDNet. Gemini’s breakthrough demonstrates the power of social media to amplify AI tools overnight, yet its long-term position will hinge on whether it can evolve from a trend into a staple. For now, Nano Banana’s popularity is a huge win for Google, but the next test is whether Gemini can convert that buzz into habit.
China’s antitrust regulator accused Nvidia of violating commitments from its 2020 Mellanox acquisition, intensifying US-China tech tensions. The probe sent Nvidia’s stock down more than 2% in trading before it recouped most of the losses Monday, per The New York Times. If Nvidia’s access to China narrows, ad tech platforms—built on AI engines for media buying, personalization, and measurement—would see higher costs, delayed feature rollouts, and bottlenecks in innovation. Advertisers and CMOs should diversify providers, press vendors on supply chain resilience, and stay nimble in deploying AI tools.
On today’s podcast episode, we discuss the top takeaways from the Google monopoly verdict, how the rise of AI search influenced the decision, and how much this ruling has any bearing on the Google ad tech case. Join Senior Director of Podcasts and host, Marcus Johnson, and Senior Director of Briefings, Jeremy Goldman, and Principal Analyst, Yory Wurmser. Listen everywhere and watch on YouTube and Spotify.
Social media managers (SMMs) report blind spots in AI’s ability to assist with trendspotting and market analysis, leading to wasted time, loss of employee trust, and delayed campaigns. With all of these pain points, marketing teams are finding that investment doesn’t always equal impact. CMOs should Involve their teams in AI tool selection to ensure real-world fit;Regularly evaluate whether applications are actually saving time; and provide training on prompt writing and the strengths of various models to cut down on wasted time.
Microsoft and OpenAI revised their partnership with a new, nonbinding agreement that could pave the way for OpenAI to change its structure to include a public benefit corporation (PBC) arm. The agreement reportedly changes a clause that would rescind Microsoft’s access to OpenAI technology once the startup’s board decides it has reached artificial general intelligence (AGI), per The New York Times. Possible implications: Regulatory entanglements and antitrust concerns could ease, and if OpenAI’s PBC plans are successful, it could reshape how AI companies balance profits and responsibilities.
Translation tools are collapsing language barriers in video. YouTube rolled out multi-language audio to all creators this week, enabling English, French, German, Hindi, Indonesian, Italian, Japanese, Portuguese, and Spanish translations. Meta added auto-dubbing for Instagram and Facebook Reels in August. Language is the next frontier in the fight for attention. For marketers, the risk isn’t bad dubbing—it’s ignoring the opportunity. Brands that limit content to one language risk ceding global watch time and ad revenues to competitors willing to meet audiences in their own tongue.
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.
Major web publishers, including Reddit, Yahoo, Medium, and Quora, are joining forces to push for a new content licensing system for AI publishers. The group is backing Really Simple Licensing (RSL), an open standard that lets publishers dictate how AI bots scrape their content and includes payment and royalty requirements. If publishers’ collective action can successfully enforce licensing terms for content scraping, regulators may follow with broader mandates. Visibility inside generative engines could change, pushing marketers to further prioritize generative engine optimization (GEO) strategies and comprehension of how AI responses source, cite, and surface branded content.
Microsoft is reducing its reliance on OpenAI by bringing in rival Anthropic to power key enterprise features, per The Information. With Microsoft 365’s entrenched position in productivity software, Anthropic’s integration could shift enterprise adoption trends away from OpenAI. If Anthropic gains traction, OpenAI risks losing one of its strongest distribution channels and with it, its influence on how AI is embedded in daily workflows. Marketers should watch to see not just who wins contracts, but who defines the next generation of workplace software.
At Tuesday’s “Awe Dropping” Apple event, the hardware giant unveiled next-gen AirPods, Apple Watch models, and iPhone 17 series. Apple is pacing its AI rollout, waiting until users are ready and the tech can show real value. By banking on product innovation and design, it secures its dominance in the smartphone space. However, as rivals push out increasingly capable AI features, Apple’s silence may come across less like strategy and more like struggle. It may be time for Apple to consider more outside generative AI (genAI) partnerships, lest it fall too far behind to catch up—even on its own terms.
40% of US adults say most or some of the health information on TikTok is trustworthy—the highest rating among major platforms, according to July data from KFF.
A recent Pew Research Center study reveals a dramatic shift in online behavior: When users encounter AI-generated search overviews, they're almost half as likely to click through to websites and more likely to end their browsing sessions entirely. This fundamental change threatens the traditional internet business model where human traffic drives ad revenue.
On today’s podcast episode, we discuss how Americans view GenAI-made media, if the “AI concern gap” between AI experts and the general public will widen, and why some of GenAI’s negativity might not apply to ads. Join Senior Director of Podcasts and host, Marcus Johnson and Senior Analyst, Max Willens. Listen everywhere and watch on YouTube and Spotify.
When consumers control digital discourse, brands face heightened pressure to get their messaging right, creating a market for AI-generated testing and vetting that detects potential backlash.
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.
AI means something different to every retailer—and their level of adoption reflects that range.