OpenAI’s Sora app surged to the top of the iPhone App Store’s free app chart despite its invite-only status, marking consumer demand for AI-heavy social experiences. It surpassed both OpenAI’s ChatGPT and Google’s Gemini, the latter of which recently topped App Store charts with its social media-friendly Nano Banana AI image-editing feature. This is a new creative playground, where brands can test community-driven campaigns with a highly engaged audience. Marketers should experiment with various types of content to see what goes viral in an AI-first social environment to prepare for a new social media landscape and capitalize on emerging platforms.
Microsoft overhauled its Digital Direct Sales operation—responsible for selling all first-party products on Microsoft.com across 100+ markets—to run on an AI-first, agent-driven assistant model that drives the company’s ecommerce. The next battle for customer intent won’t happen on search bars or landing pages—it will happen inside conversations. The brands that train their AI agents to listen, reason, and personalize at scale will own those moments of intent. Every chat should be a transaction—brands need to train their AI agents to listen, reason, and personalize at scale.
More than half of US employees are using unapproved AI tools, with managers knowing but not caring—showing both security risks and organizational dysfunction. Of the 59% of employees who are using unapproved AI tools, 57% state that their direct manager is aware and OK with it, per Cybernews. Shadow AI use is a brand risk, not just an IT problem, and is often a workaround for poor internal communication or underinvestment in training. CMOs should lead efforts to define brand-safe tools, identify tools ideal for marketing tasks, and collaborate with IT to train employees on AI use.
On today’s podcast episode, we discuss what folks are prioritizing when it comes to upskilling in AI, the stigma of using the technology at work, and which part of the “Using AI at Work” conversation needs more attention. Join Senior Director of Podcasts and host, Marcus Johnson, Senior Editor, Lisa Haiss, and Analyst, Grace Harmon. Listen everywhere and watch on YouTube and Spotify.
For years, the commerce media conversation has centered around one theme: Measurement. But that may be changing. “We are finally moving past just talking about measurement,” said Collin Colburn, vice president, commerce and retail media at the Interactive Advertising Bureau (IAB). “It’s a horse that’s been beaten over the head a little bit too many times.”
OpenAI’s launch of Instant Checkout, which enables direct purchases through ChatGPT, has triggered a competitive push among ecommerce giants to streamline online shopping. Google unveiled AI Mode, allowing conversational product searches, Amazon introduced Add to Delivery for one-tap Prime orders, and Meta rolled out Business AI to enhance chat-based shopping across its platforms. While Instant Checkout currently supports only single Etsy purchases and lacks utility for everyday shopping, its debut signals the potential of AI-driven commerce. For now, Amazon and Google’s scale and infrastructure give them the edge, but the arms race to own the purchase path is intensifying.
GenAI is becoming an indispensable tool for shoppers looking to navigate the endless aisle that is ecommerce. Two-thirds of consumers who make a weekly online purchase regularly use genAI assistants like ChatGPT to inform their shopping decisions, according to a survey from ecommerce retention platform Yotpo. GenAI is in the early stages of transforming the customer journey, but it is no doubt becoming a front door to ecommerce. Retailers need to be prepared for a future when AI, not shoppers, are the primary visitors to their sites. Those who invest in AI-ready content, authentic reviews, and clear product data will lure tomorrow’s customers. Those that don’t risk fading into the background of the AI-driven marketplace.
Video production company Lemonlight’s new generative AI advertising tools reflect the technology’s growing popularity with marketers. Brands should embrace the tool for its unique blend of AI and human insight, but approach some features cautiously and maintain a test-and-learn approach.
AI chatbots most often use health media sources like Mayo Clinic and Healthline in answering consumer health-related questions, according to an Outcomes Rocket study. There’s an opportunity for marketers to grow chatbot attention with quality content. Create credible and user-friendly content and avoid overly complex or jargony material to appeal to the way chatbots are constructing answers. Cater to the preference for recent data and summarized content by updating content frequently and offering condensed takes at the top of posts.
Apple is scrapping plans for a next-gen Vision Pro in favor of developing its own smart glasses to compete with Ray-Ban Meta and others. The glasses will “rely heavily” on voice interaction and AI, per Bloomberg—two areas where Apple has been slow to innovate. With Meta already pushing smart glasses, brands that delay adapting risk falling behind in this emerging medium. As input shifts from screen tapping or gestures to voice, marketers need to ensure their brands sound natural in conversational AI environments and that website data is optimized for voice SEO and consistent brand tone.
Retailers are rethinking old tech choices as the channel matures. Mirakl Ads’ Anne Hallock joins EMARKETER’s Sarah Marzano to discuss how AI and a commerce-first approach can reduce friction, capture new ad dollars, and drive growth.
Gen Zers and millennials will lead the charge in shopping with AI agents, but not without guardrails. Nearly half of Gen Zers (47%) and millennials (48%) say they are at least somewhat likely to let AI agents buy things for them, per a YouGov survey. Among likely AI agent adopters, 53% would require approval before letting AI buy anything under $100. For brands, deploying responsible AI agents is key. That means constantly monitoring customer-facing products for hallucinations, keeping humans in the loop to establish accountability and accuracy, and ensuring customers are getting the experiences they want.
The news: The latest actress generating buzz across Hollywood isn’t real. “Tilly Norwood,” an AI-generated persona created by Particle6, drew sharp critiques from Hollywood personalities and unions. Our take: Consumers still report a deep distrust of AI influencers. For now, partnering with corporeal influencers is the safer path for most brands.
Meta will begin using conversations with its AI assistant to personalize ads and feeds across Facebook, Instagram, and WhatsApp starting December 16. The change represents Meta’s most aggressive AI monetization effort to date, moving beyond likes and follows to conversational intent—a richer, real-time signal of consumer interest. Regulators are already raising alarms about surveillance and privacy. With 98% of Meta’s revenues tied to ads, even small gains could shift billions.
The smart home wars are shifting from hardware and voice assistants to AI strategy. In back-to-back announcements this week, Google and Amazon introduced the next phase of connected devices with AI front and center. Both companies are racing to turn smart speakers and displays into AI hubs and ad ecosystems. Marketers should start testing conversational ads, commerce integrations, and context-driven experiences on both platforms as usage scales and the next dominant household gatekeeper takes shape.
PayPal’s Honey browser extension will start recommending products based on users’ conversations with chatbots, per a press release. Relying on the Honey browser extension rather than striking individual partnerships with each major AI platform is a far more expedient pathway to broaden Honey’s reach across AI-based shopping. And by keeping the selection and checkout processes squarely in the province of the user, Honey gets to reap the benefits of the rise in AI-enabled product discovery without the associated risks of agentic commerce.
Horizon Media and Havas are teaming up in a new $20 billion joint venture, Horizon Global, designed to add scale without a full merger. Headquartered in New York, the entity will focus on U.S.-centric global accounts while Horizon and Havas continue operating independently. Horizon Global unites Horizon’s Blu platform and Havas’ Converged.AI into a new system called BluConverged, billed as the first AI-native media network. The move comes as Omnicom and Interpublic finalize a $13.5 billion merger, intensifying competition across the agency sector. Horizon Global offers clients a more flexible, performance-based alternative to mega-holdcos weighed down by bureaucracy.
LinkedIn debuted several new features for ad automation targeting small- and mid-sized businesses (SMBs) as it looks to expand its advertiser base beyond large brands. The update reduces barriers to professional-grade ad campaigns by offering automation and AI-driven support that previously demanded larger budgets or in-house expertise.
OpenAI is working on a TikTok-style app built on its Sora 2 video model—an AI-only feed where every clip is generated, not filmed, per Wired. Meta, meanwhile, is rolling out Vibes, a new short-form video feed in its Meta AI app and Meta.ai, designed for remixing, personalization, and sharing across Instagram and Facebook. For brands, the upside is experimentation, while the risk is durability. Until user habits adjust to new content feeds, marketers should treat both as pilot channels—take advantage of launch buzz, but keep spend flexible in case novelty fades.
OpenAI has launched Instant Checkout, a new feature allowing ChatGPT users in the US to buy products directly from Etsy sellers, with plans to expand to more than 1 million Shopify merchants including Glossier and Skims. Built on the Agentic Commerce Protocol and integrated with Stripe, the tool currently supports single-item purchases but will soon add multi-item carts, more merchants, and global rollout. While this marks a major step toward positioning ChatGPT as a commerce hub that could challenge Amazon and Google, success depends on whether consumers see in-chat shopping as truly easier than traditional ecommerce.