Sony AI released the Fair Human-Centric Image Benchmark (FHIBE), a freely available image data set to test AI fairness using images from 2,000 volunteers across 80 countries—all consent-based and removable on request, per Engadget. Independent data sets like FHIBE give marketers, platforms, and regulators a common reference point for evaluating AI performance. That helps brands prove compliance, reduce reputational risk, and speed up adoption of trustworthy automation. Tools like FHIBE could excise bias and rebuild trust in how AI sees—and represents—people in marketing and advertising processes.
Uber partnered with ad measurement firms Kantar and Adelaide to launch a custom attention metric for in-ride ads and Uber Eats checkout screens, the companies announced Tuesday. The partnership is Adelaide’s first custom, platform-specific attention metric partnership. As the ad industry inches toward universal standards, Uber’s launch shows the challenges in creating a one-size-fits-all approach. Even post-standardization, advertisers will have to navigate an ecosystem with multiple platform-specific offerings.
Artificial intelligence now shapes how insights are gathered and applied. Over the past year, nearly all US market researchers (98%) have used generative AI, and 72% use it at least once a day, per a new Harris Poll–QuestDIY survey. AI’s speed and scale have replaced early skepticism, even as trust continues to lag behind. Brands adopting AI should build oversight and human judgment into their marketing pipelines to guarantee that every automated insight passes the test of accuracy, transparency, and brand integrity.
After years of athleisure dominating closets, denim jeans are back in the spotlight. As brands reinvest in fit, quality, and cultural relevance, the US denim market is set to reach $21.5 billion by 2028, according to Euromonitor International.
Google added integrations to Gemini that pull information and insights from Gmail, Google Chat conversations, and Google Drive files. It can also connect with PDFs, Docs, Slides, and Sheets. For enterprise users, this means faster and more context-rich insights—especially for tasks like internal research, competitive benchmarking, or campaign planning, where information is often scattered across different tools and channels. Marketers should begin with targeted use cases like analyzing brand sentiment from team discussions or summarizing performance reports.
Coca-Cola is putting out another AI-generated holiday advertisement, its second after an AI ad campaign last year that drew mixed reactions from audiences. While attitudes toward AI in ads are mixed, smaller brands are at a higher risk of receiving negative impacts from creating ads entirely using AI.
More companies are looking to shed underperforming assets or overhaul their business structures to strengthen their businesses in an uncertain environment. Yum, Starbucks, and AB Foods are among those either looking to sell or restructure to better position themselves for growth. With the global economy on increasingly shaky footing due to geopolitical tensions and trade disputes, it’s no surprise that companies are moving to mitigate risk either by slimming down or seeking partners to help extract greater strategic value from their assets.
Nintendo reported blockbuster financial performance for its most recent quarterly earnings, with revenues surging over 90% YoY and profits rising more than 270%, per CNBC. This growth is largely driven by the successful launch of its Switch 2 flagship console, which debuted in June. As gaming consumption shifts to handheld and hybrid devices, brands should explore partnerships and placements that align with Nintendo’s highly curated experiences rather than disrupt it. Because Switch 2 and its games are ad-free, brands can engage players through co-branded campaigns, limited-edition content, and cross-platform tie-ins on Twitch, Discord, YouTube, and social media.
The race to succeed Twitter is maturing into a two-lane race. Meta’s Threads has surged to 150 million daily active users, per Meta, while decentralized rival Bluesky has climbed to 40 million users, per TechCrunch. The post-Twitter world is segmenting. Threads offers scale and a burgeoning ad ecosystem, but Bluesky might be better for more organic brand engagement with specific user groups. For brands, the opportunity lies in balance: Use Threads for audience growth and measurable performance and Bluesky to test tone, voice, and authenticity. Together, they offer a preview of where digital conversation and brand storytelling are headed next.
Consumers (68%) and senior marketers (75%) expressed an increasingly positive outlook on the possibilities of generative AI this year, according to a September report from Kantar.
ChatGPT now handles more than 2 billion queries daily from 190 million users, per MarTech. The chatbot has transcended novelty and become a decision-stage search companion. Nearly 80% of US ChatGPT users treat it like a search engine, per a new Adobe survey. Influence now hinges on how brands appear within genAI—not just in Google Search results or on social media. This adds another layer of complexity for brand managers while unlocking opportunities for real-time content optimization and risk monitoring.
On today’s podcast episode, we discuss the big 3 questions surrounding Netflix in Q3 and beyond: expectations for its ad business, the impact of Netflix House, a new deal with Spotify, or something else? Join Senior Director of Podcasts and host, Marcus Johnson, Senior Analyst, Ross Benes, and Senior Editor of Briefings, Daniel Konstantinovic. Listen everywhere and watch on YouTube and Spotify.
Disney channels, including ESPN and ABC, have officially been removed from leading pay TV platform YouTube TV after Disney and Google failed to resolve a distribution dispute. Even as YouTube TV gives subscribers access to a large number of non-Disney channels, its ad effectiveness could be harmed without as broad of a sports portfolio—necessitating cautious investment.
OpenAI signed a seven-year, $38 billion cloud compute deal with Amazon Web Services (AWS), its first partnership with the cloud market leader. The development effectively ended the startup’s exclusive reliance on Microsoft, its primary backer, per CNBC. OpenAI will use existing AWS data centers, and Amazon will build dedicated infrastructure for OpenAI as part of the ChatGPT maker’s expansion. While hyperscalers like AWS, Microsoft, and Google race to secure workloads, costs for training and inference are expected to decline. For brands, this means reduced outage risks and increased options for deploying AI-driven creative, analytics, and automation systems at scale.
AI is reshaping the future of work at agencies, from reducing junior roles to cutting down on hiring altogether. Nearly all (91%) of US senior agency leaders expect AI to reduce agency headcounts, per Sunup’s AI’s Effect on the Marketing Industry report. Over half (57%) of agencies have slowed or paused entry-level hiring. To maintain value in the AI era, agencies should protect and cultivate talent pipelines and use AI to deepen offerings like audience insights and personalized campaign plans, which automation alone can’t replicate.
When it comes to AI investment, Google CEO Sundar Pichai's mantra that the risk is underspending, not overspending, seems to be holding true at Meta. It forecast roughly $600 billion on AI-related capital expenditure over the next three years, but investors are questioning whether that philosophy has limits. Meta’s heavy focus on AI could aid its ad offerings, especially personalization options and its AI-powered ad suite. At the same time, overspending could lead to uneven focus that leaves other ventures—including its cash-burning Reality Labs and plateauing interest in Facebook—vulnerable.
Meta, Google, and Microsoft are spending at historic rates in the race to secure AI dominance. Each posted record quarterly earnings last week—and warned that even higher capital expenditures are an imperative for growth, per Wired. For marketers, the AI buildout presents both an opportunity and a cautionary tale. As Big Tech chases scale, brands must chase substance—using AI not for hype, but for measurable value today, not in the future. AI’s future isn’t guaranteed by capital—it’s earned through trust, differentiation, and adaptability. Brands that master those traits will thrive no matter how the infrastructure race unfolds.
Mobile gaming in-app purchase (IAP) revenues reached $21 billion worldwide in Q3 2025, per Sensor Tower—a number not seen since pandemic quarantines. Strategy, puzzle, RPG, and casino games led the field, with each bringing in over $2 billion. Time and money spent in gaming continues to rise, yet only 5% of media investments around the world go to gaming, per Dentsu. Start considering formats such as in-game ads, interstitial ads, and adjacent ads. Brands can also entertain partnerships for in-game gear and mini games. The time is now to boost advertising budgets for gaming platforms and titles as revenues grow.
WPP cut its full-year outlook after Q3 organic revenue fell 5.9% to £2.46 billion, its steepest quarterly decline since 2020. New CEO Cindy Rose said the company “hasn’t gone fast enough” to meet client needs and outlined a turnaround focused on AI, operational efficiency, and simplifying its agency network. WPP’s slump reflects broader challenges facing holding groups in the AI era: proving value through speed, integration, and measurable results as brands increasingly turn to self-serve, platform-driven ad solutions.
Netflix is reportedly exploring an acquisition of Warner Bros. Discovery (WBD)’s studio and streaming operations—its boldest move yet to consolidate the streaming market. The deal would include HBO, Warner Bros. Pictures, and HBO Max but exclude cable properties. For Netflix, the acquisition would supercharge its ad-supported tier with premium, long-tail content, expanding both viewership and inventory. The potential combination of HBO’s prestige programming and Netflix’s data-driven ad platform could redefine connected TV advertising, pressuring rivals like Disney+ and Peacock. If successful, the merger would mark streaming’s biggest consolidation since Amazon’s MGM purchase—and a new era for premium video.