OpenAI is rolling out a group chat option for ChatGPT to all logged-in Free, Go, Plus, and Pro users globally. The company said in a blog post that the feature is intended to help users collaborate with one another in the same conversation—such as working with friends, family, or coworkers on plans, decisions, and brainstorming. To capitalize on this new engagement tool, marketing leaders should start experimenting with group-based AI workflows and prepare for new discovery channels.
US connected TV (CTV) viewers fall back on YouTube when they can’t find anything else to watch, per Hub Entertainment Research. Ninety percent of 16- to 34-year-olds turn to YouTube at least sometimes when other streaming services don’t meet their viewing needs. Nearly three-quarters viewers age 35 and older make that switch at least sometimes. Poorly performing search and recommendation tools may be partially to blame. Streamers should target demographics and viewer interests and behaviors via platform analytics and interactive or live polls to capture attention, earn trust, and boost stickiness.
Three major AI releases—Microsoft’s Agent 365, Google’s Gemini 3 Pro, and xAI’s Grok 4.1—could point the way to how businesses will deploy and govern AI. Following OpenA’s GPT 5.1, each new product update approaches intelligence from a different angle: Microsoft is offering operational control, Gemini is touting multimodal reasoning and search, and xAI is demonstrating emotional fluency. The brands that map these tools to specific workflows—governance with Microsoft, discovery and search with Google, and engagement with xAI—could see faster execution, sharper insights, more resilient customer experiences, and tangible ROI.
Nearly 70% of large organizations are using genAI tools in marketing, but only 7% of global marketing leaders strongly agree that genAI use has improved the effectiveness of their campaigns, per a new study from Capgemini. The challenge may lie in budget control: More than half of AI initiatives are funded by IT. For AI to become the engine of growth that leaders envision, marketing needs to assume ownership, budget, and strategic influence to bridge the gap between its potential and its realized value.
Luma AI has secured a $900 million funding round led by Humain, pushing its valuation above $4 billion and marking one of the largest investments to date in AI-generated video. As agencies, studios, and brands increasingly adopt AI for editing, narration, testing, and full video generation, Luma’s raise signals a shift: AI video is becoming the creative backbone for modern advertising, powering faster iteration, scalable personalization, and multi-format production across every screen.
Adobe is acquiring software platform Semrush for $1.9 billion. The deal, which is expected to close in the first half of next year, will help Adobe expand beyond creative tools into a full-service marketing and analytics suite that can compete with Google and Meta. Whether or not marketers use Adobe today, the deal presents an opportunity to check tech stacks and evaluate search, design, and analytics tools. The acquisition could also help marketers trim martech spending by streamlining the tools they need to create content and stay on top of brand visibility and performance.
Google offered remedies to settle an antitrust case in the European Union following a nearly €3 billion ($3.5 billion) fine arguing that Google abuses its dominance in digital advertising. The EU’s tough stance signals that the global regulatory environment is intensifying.
Google is expanding its use of agentic AI across its advertising suite, announcing that Ads Advisor and Analytics Advisor—two new, Gemini-powered assistants—will roll out to all English-language Google Ads and Google Analytics accounts in early December. Per Google, the tools aim to make campaign management and data interpretation faster, simpler, and more conversational. AI copilots are becoming table stakes. With Google and Amazon both embedding agentic AI into their ecosystems, conversational interfaces will soon be the default way advertisers plan and manage campaigns.
AI is reshaping the ad agency landscape and eliminating the need for entry-level hires, according to a Sunup report that found that 91% of US senior agency leaders expect AI to reduce headcounts and 57% have slowed or paused entry-level hiring.
A year after enterprise software firms began rolling out AI agents, most tools now look and act alike—creating confusion for companies trying to choose the right solution. And because many rely on the same OpenAI or Anthropic models, their offerings are almost indistinguishable, per The Information. Brands should prioritize AI agents that connect across ecosystems, protect data, and scale smarter instead of locking into one vendor’s walled garden. Doing so builds resilience, flexibility, and trust in an increasingly crowded AI market.
35% of US employees who use unapproved AI tools at work have shared employee data, the most commonly shared category of potentially sensitive information, according to an August survey from Cint and Cybernews.
Last week, Tesla and Rivian approved two of the most aggressive CEO compensation plans in history—Elon Musk’s potential $1 trillion payout and RJ Scaringe’s $4.6 billion plan. Both hinge on hitting decade-long performance and valuation targets tied to EV production, AI innovation, and market capitalization growth. Why it matters for brands and marketers: This compensation era spotlights the rise of the personality-driven company. Musk and Scaringe are seen not just as CEOs, but as brand assets whose visibility and vision influence valuation. For advertisers, the message is that leadership narratives can serve as marketing multipliers that help drive brand identity and, for better or worse, brand reputation.
Spending on martech tools will continue to grow over the next five years, but data silos, inefficient ROI measurement and training gaps could hold back the tools’ potential. 78% of B2C organizations increased their martech budgets over the last five years, and that pace isn’t slowing: 79% plan to raise them again by 2029, per McKinsey’s Rewiring Martech report, and 34% will boost it by at least 11%. Despite these aggressive investments, only 35% of organizations say their martech operations have reached a “transformational” level of maturity. CMOs should ensure teams are supplied with the technical skills to aid martech’s advancement and treat the tools as a part of operations across the board—not just an IT task. They should also connect martech success metrics directly to clear outcomes—like customer retention—to prove its value across the organization.
The Trade Desk posted another strong quarter, with revenue up 18% to $739 million and EBITDA margins above 40%, but CEO Jeff Green’s focus remains philosophical. On the Q3 call, Green said the company’s “AI-first” Kokai platform and new tools—Open Ads, Deal Desk, Audience Unlimited, and Trading Modes—position TTD as the infrastructure layer of an open, transparent internet. CTV now accounts for half of total revenue, with Disney and Hearst partnerships lifting publisher yields by 23%. Yet Green acknowledged the open web’s challenges, calling the vision “more aspirational than factual” as walled gardens tighten control.
LiveRamp CEO Scott Howe says marketers are now fighting a “war for signals”—a race to collect, clean, and connect data fast enough to prove every dollar’s impact. Speaking alongside Q2 earnings of $200 million (up 8%), Howe described marketing’s new reality as “precision and proof.” LiveRamp’s clean room tech now lets brands merge data across partners like Netflix, Uber, and PayPal to tie spend directly to transactions. With AI acceleration and data collaboration redefining performance, Howe says growth depends less on scale and more on signal speed: “Access to better data gets the flywheel going—and determines who wins.”
AppLovin beat expectations again, delivering a blowout quarter that affirmed its place among the most profitable players in adtech. Even as the company faces ongoing scrutiny over data practices and an SEC probe, its financial momentum appears unaffected. AppLovin is proving that controversy doesn’t always kill momentum. Its ability to execute quarter after quarter suggests marketers may be more pragmatic than moralistic, following results over rhetoric.
Mid-market marketers (companies with 10 to 499 employees) have high expectations for artificial intelligence and see AI as a productivity lever for lean teams, according to new data from WARC and MailChimp—but adoption lags behind enthusiasm. AI is still in its early days, leaving a wide gap between the largest companies with capital to invest in proprietary resources and smaller teams with more limited resources.