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.
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.
66% of US banking executives say their leadership team or board has discussed allocating budget or resources to AI, more than triple the share for any other emerging tech, according to July data from Bank Director and Jack Henry & Associates.
Consolidation in the streaming industry is leading connected TV (CTV) budgets to become more concentrated, per our latest US TV and CTV Ad Spending Forecasts. Key changes on the horizon: Mergers on the horizon, as well as companies concentrating their streaming options, could change who holds power in the TV industry. CMOs should prepare for a CTV landscape dominated by fewer, data-rich platforms. That means deepening direct partnerships with leading streaming providers to gain priority access to premium inventory, and investing in AI-driven analytics to enhance creative testing and budget optimization inside walled gardens.
Instacart has launched a new suite of AI-powered tools aimed at helping grocers deliver more personalized and efficient shopping experiences both in-store and online. The rollout includes features like Cart Assistant for customized recommendations, Store View for real-time shelf monitoring, and Agentic Analytics for data-driven insights. Instacart’s bet is that the more it can use emerging technologies to simplify life for both grocery shoppers and retailers, the stickier its platform will become.
Dating app fatigue has set in for many consumers, but one entrant in the market is quietly catching on among younger consumers—Facebook Dating. The feature, which launched in 2019, has amassed more than 21 million daily active users (DAUs), compared with Hinge’s 15 million, per The New York Times. To capitalize on the dating feature's growth and user engagement, brands should use zero-party data to target ads based on profile preferences—such as users who are interested in shopping, outdoor experiences, or live events—while ensuring placements don’t feel intrusive in an intimate, high-intent environment.
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.
Tomorrow’s grocery shoppers will expect AI tools that anticipate their needs, faster checkouts, and consistent pricing across channels. In this new era, convenience and technology will shape behavior, but value and trust will remain the deciding factors.
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.
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.
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.
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.
Fraudulent streaming is siphoning royalties from human artists, complicating ad targeting for marketers, and leading consumers to listen to AI-generated music without their knowledge. Fraudulent genAI content can degrade users’ streaming experience and make it harder for advertisers to accurately plan campaigns since they may not know what user data is legitimate, Inna Vasilyeva said. With data quality and trust serving as major elements of campaign deployment and optimization, brands must demand transparency from streaming platforms and prioritize verified ad inventory.
Ad-supported and free ad-supported streaming TV (FAST) are surging in popularity—what started as low-cost, complementary streaming options are becoming primary destinations for discovery. Total US hours spent watching FAST services reached 1.8 billion in August, per Comscore’s 2025 State of Streaming report, up 43% YoY. Advertisers should view FAST and ad-supported streaming options as a crucial part of the CTV media mix, tapping into rising demand for budget viewing options and the services’ wealth of user engagement data for campaign optimization.
Netflix is testing vertical short-form video content on mobile devices to diversify its platform offerings. The streamer’s goal isn’t to compete with TikTok since it won’t feature user-generated content (UGC). Instead, videos will include clips from Netflix’s longer-form content, such as live events or stand-up comedy sets. Netflix’s move into shorts could create new ad inventory or brand placement opportunities, pairing the brand safety of curated clips with the engagement of short video. Marketers should keep an eye on how Netflix’s short-form ecosystem evolves.
YouTube is reorganizing staff within its product teams, which won’t directly involve eliminating any roles, per Business Insider. Starting November 5, those teams will fall into three categories with distinct priorities. At the same time, the company implemented a “voluntary exit program” with severance offers for US employees. YouTube’s now-separate product segments could open up new pathways for TV ads and influencer marketing, and brands should watch for how these siloed divisions could change campaign development and ad placement, and whether outreach with YouTube will become more complicated.
A global Azure and 365 outage hours before earnings revealed the fragility of Microsoft's dominance, briefly disrupting apps and websites worldwide. But its latest earnings demonstrated its unmatched lead in enterprise AI. Azure and other cloud services jumped 40%, powering Microsoft Cloud’s 26% revenue surge to $49.1 billion. Despite the hiccup, Microsoft’s results confirmed AI’s full integration into its business model, with Copilot and Azure fueling recurring cloud consumption—and turning productivity into predictable, high-margin growth.
OpenAI completed its public benefit corporation (PBC) restructuring, reflecting how the AI industry has matured since ChatGPT first launched. The company retains a nonprofit arm—the OpenAI Foundation—that holds a $130 billion equity stake in the OpenAI Group PBC for-profit arm. Prepare for rapid evolution of AI capabilities, faster product cycles, and more aggressive scaling of tools like ChatGPT Enterprise, Sora, and Pulse as OpenAI tests which offerings can grow into major revenue drivers.
A growing cohort of companies, including Next PR, Parcel Perform, and Geostar, is helping brands optimize their generative engine presence, ensuring that content surfaces in queries from consumers seeking recommendations and new products. Marketers should consider their brands’ strategic goals—whether it’s driving conversions or boosting visibility of web content—and identify the GEO partners that best align with them. As genAI tools become more mainstream for consumer discovery, proactive optimization is key to stay relevant and manage reputation in AI outputs.