Meta has rolled out major upgrades to partnership ads on Facebook and Instagram, introducing new AI-enabled tools, broader creator discovery surfaces, and an API that lets advertisers programmatically convert UGC and creator posts into paid ads at scale. Partnership ads already outperform standard formats—19% lower CPAs and 13% higher CTRs—and with Gen Z more receptive to creator messaging and most consumers taking action quickly after seeing creator content, Meta is formalizing the path from organic influence to paid performance. For marketers, the message is clear: creator content is now a foundational performance lever, not an experimental add-on.
Even as consumer attitudes toward AI in advertising remain mixed, agencies are rapidly expanding their use of AI across the marketing lifecycle. But significant resistance remains, especially when AI is used in ad creative. As agencies scale AI adoption, consumer sentiment underscores the need for restraint and intentionality—using AI for work behind-the-scenes, but resisting entire AI creative.
AI scribe tools that transcribe doctors’ notes save doctors only a minimal amount of time, according to a recent UCLA Health study. Healthcare AI scribe developers already face high provider churn due to a crowded market and the ease of switching between competing products. They must now prove their product's value extends beyond time savings (modest or significant) to include areas like improving patient care, enhancing the patient experience to drive retention, or ensuring more accurate clinical notes for billing and coding.
On today’s podcast, we will cover a few of the takes from our Top Trends to Watch in 2026 report. Our analysts (or bakers) will compete in a Great British Bake Off style episode discussing if the micro-drama craze will mint a new generation of creators with dual support from social networks and entertainment studios, and why AI’s content takeover will shake consumer trust in the internet. Join Senior Director of Podcasts and host Marcus Johnson, along with Analyst Jacob Bourne and Principal Analyst Max Willens. Listen everywhere, and watch on YouTube and Spotify.
New York has enacted the first US laws requiring disclosure and consent for AI-generated performers and posthumous likenesses in advertising and entertainment. The measures mandate clear labeling when synthetic or digitally altered performers appear onscreen and require approval from estates before deceased individuals’ likenesses are used commercially. The laws sharpen a state–federal divide: President Trump has warned states against AI rules that could hinder US competitiveness, favoring a single national framework instead. For media companies, New York’s move creates immediate compliance obligations—and a preview of regulatory uncertainty ahead.
Shopify has introduced 150 updates, headlined by two major tools aimed at expanding reach and boosting conversions: an “agentic storefront” that lets consumers buy products directly through AI platforms like ChatGPT and a new Shopify Product Network that helps merchants fill product gaps via cross-store recommendations. The agentic storefront should give merchants an early advantage in AI-powered commerce, while the Product Network should boost conversions, and create new revenue streams without adding inventory or operational burdens.
Over half (52%) of senior data and technology executives worldwide use generative AI to boost internal productivity, according to a June survey from MIT Technology Review Insights.
Amazon's recent business moves, examining corporate layoffs, AI-powered shopping features, and new smart glasses technology for delivery workers paint an interesting view of its immediate future and what it could mean for consumers.
ChatGPT is closing 2025 as the most downloaded iPhone app in the US, vaulting past entrenched social platforms, search, and shopping apps, per TechCrunch. Google Gemini was the only other AI app in the top 10, landing in the final slot. This is the first time an AI assistant has outranked every social and utility app in the US. AI assistants are the new entry point for mobile discovery, and brands should optimize content, creative, and ad journeys for users who start—and often finish—inside conversational interfaces.
Retailers are investing in AI to improve operations and customer service. From design trend predictions to intelligent assistance, AI is moving from back-office functions to visible, customer-facing applications. Retailers that don’t explore AI risk losing out on positive outcomes, from efficiency gains and cost reductions to stronger personalization and customer loyalty. The winners will be those that use AI to solve real consumer pain points such as finding matching makeup shades or suggesting recipes based on nutrition goals.
AI is drastically changing the digital advertising landscape, and connected TV (CTV) is no exception. In a conversation with EMARKETER, Martin Kristiseter, CEO of media company Digital Remedy, shared his insights on how AI is evolving as a critical copilot for CTV advertising. Using AI tools to handle complexity while leveraging human insight for overall storytelling will help advertisers strike the right balance.
Disney will invest $1 billion in OpenAI and allow Sora users to create short-form videos featuring more than 200 Disney, Pixar, Marvel, and Star Wars characters. User-generated material opens a new potential spigot of low-cost content for Disney+, which is under increased pressure to compete with YouTube. The move marks a major shift for a conglomerate that has historically held its IP close to the chest.
Retail media’s early free-for-all is giving way to a more deliberate approach. At last week’s EMARKETER Summit, leaders from Kellanova and Every Man Jack described how marketers are sharpening their focus, rethinking measurement, and preparing for an AI-driven discovery landscape.
BNY will integrate Google Gemini Enterprise into Eliza, its in-house AI platform. Gemini will give Eliza deep research tools and let BNY’s employees build AI agents that draw from and act on the bank’s vast libraries of financial data. The haves and have nots of banking’s AI era are coming into relief. The top strata are institutions that have invested heavily in data infrastructure that supports AI’s needs. The next strata are developing dedicated AI strategy but aren’t building as much in-house. Banks in the final strata haven’t found ways to use AI at scale but need to now.
On today's podcast episode, we discuss the Thanksgiving shopping season—what surprised us most, what it revealed about the fragility of the US consumer, and how much AI moved the needle for shoppers, and retailers. Listen to the discussion with Vice President of Content and host Suzy Davidkhanian, Senior Analyst Zak Stambor, and Analyst Rachel Wolff.
McDonald’s has pulled an AI-generated Christmas ad after a wave of online backlash. Upon removal, McDonald’s said to BBC News that the ad was “an important learning” for the company’s understanding of “the effective use of AI.” McDonald’s teaches a valuable lesson: Consumers aren’t yet ready for ad creative that is built entirely on AI. But advertisers still face a landscape where not using AI is a detriment to staying ahead. Balance is now a competitive differentiator.
Figma’s latest AI-powered object removal and image expansion tools could be an ideal counterpart to AI image generators like Google’s Nano Banana, OpenAI’s DALL-E, and Midjourney. By automating time-consuming edits, these tools will help smaller agencies and in-house brand teams compete with big-budget creative studios. Figma’s AI upgrade marks a tipping point where creative workflow automation at scale is no longer prohibitive. As repetitive tasks get offloaded to smarter tools, brands and marketers can focus on vision, differentiation, and improved campaign strategy.
Adobe and OpenAI have partnered to enable editing tools like Photoshop within ChatGPT, where users can fine-tune images, alter backgrounds, and apply effects using prompts for free, with no paid ChatGPT or Adobe subscriptions required. The creative stack is shifting from specialty software to conversational tools that sit closer to the brief. Brands that embrace this new workflow should use ChatGPT as a creative front end by building prompt libraries and standardizing asset templates. These integrations can help brands test more, waste less, and push fresh creative into the market faster than rivals.
Instacart’s AI pricing tools may be causing some consumers to pay higher grocery prices, according to a report by Consumer Reports and Groundwork Collaborative. The report found that consumers were routinely charged different prices for the same products, with differences as high as 23%. Instacart defended its pricing policy by emphasizing its efforts to improve affordability, and insisting that its experiments “are not dynamic pricing” because prices don’t change in real time according to supply and demand. For shoppers, whether Instacart’s tactics meet the technical definition of dynamic pricing is beside the point. Consumers overwhelmingly prefer brands with consistent pricing and respond negatively toward those that use surge pricing and hidden fees. The lack of transparency around algorithmic pricing is likely to be particularly distressing at a time when rising food prices and other stressors are pressuring household budgets.
More than half (53%) of US physicians plan to significantly increase AI use over the next year, per a DHC Group and Sermo study in November. As physicians increasingly rely on AI for support, the information they encounter will be shaped by the quality of the science-based content that AI systems will surface.