OpenAI will reportedly expand its portfolio to include genAI music tools, per The Information. The company is said to be collecting data, such as annotated music scores, from Juilliard School students to develop and refine upcoming music-generation tools. CMOs should assess their tech infrastructure to ensure that teams have the skills and systems to integrate new AI tools smoothly. Maintain agency relationships amid AI-generated audio experimentation to keep human creativity in the loop and retain oversight as AI adoption heats up.
Rates of adoption and familiarity with AI are surging—53% of US consumers either regularly use genAI or have experimented with it, per Deloitte’s 2025 Connected Consumer Survey, up from 38% in 2024 and 16% in 2023. Sixty-nine percent of US genAI users engage with AI through social apps, everyday software, and online services. Companies should look beyond customer service chatbots and integrate AI-powered search, product discovery, and personalization tools into brand websites. Boost intelligent tools such as AI personal shopping assistants to increase engagement and time spent, removing the need to navigate elsewhere to find answers or recommendations.
On today’s podcast episode, we discuss what OpenAI as the next big operating system maker looks like, how they might make money from this, which integrated apps will become most popular inside ChatGPT, and how this potential super app could impact consumer AI devices. Join Senior Director of Podcasts and host, Marcus Johnson, Analyst, Grace Harmon, and Principal Analyst, Yory Wurmser. Listen everywhere and watch on YouTube and Spotify.
Marketers are doubling down on content relevance and strategy as key drivers of performance, but personalization is being left behind. Nearly two-thirds (65%) of North American B2B marketers who say their efforts have been effective in the past year cite content relevance as a main reason, per Content Marketing Institute (CMI). Despite the potential payoff, 94% of marketers say their use of personalization is either basic or moderate. Marketers should pivot AI’s role from content creation to content intelligence, focus on high-quality signals, and implement data-driven personalization to get a sustainable edge in campaign efficiency and engagement.
Google and Anthropic inked a cloud partnership that could put Amazon Web Services (AWS) on notice and raise the stakes for the stability and services Anthropic will offer enterprise and consumer customers in the future. The deal gives Anthropic access to up to 1 million of Google’s custom Tensor Processing Units (TPUs), per CNBC. To remain resilient against outages and capitalize on the fast-moving development of AI models, companies should diversify AI bets, shift AI use from output to intelligence, and ask vendors to explain infrastructure choices.
Reddit is suing Perplexity and data-scraping companies Oxylabs UAB, AWMProxy, and SerpApi, highlighting the battle over user-generated content (UGC) in the race to build the top genAI models. Cases like this could redefine how AI firms access and value online content, including original UGC and brand-owned material. To navigate an increasingly complex landscape for information sourcing, marketers should diversify reliance on genAI tools and explore AI partners that offer legal indemnification clauses to ensure that a brand isn’t at legal risk if a provider errs by scraping copyrighted information.
Privacy regulations and platform changes are creating blind spots for mobile marketers and forcing them to rethink how they attribute app installs and measure performance. Forty-one percent of mobile growth, marketing, and product leaders worldwide say privacy measures online are leading to difficulties with cross-channel attribution, per Branch’s 2025 State of App Growth report. Brands should unify marketing and product data into a single, trusted performance dashboard, make cross-channel measurement a strategic KPI, and use AI for contextual analytics and smarter targeting to find signal gaps left by privacy-driven data loss.
Netflix is going “all in” on AI, making the tool a core part of how content experiences are built, customers are acquired, and ad campaigns are targeted and planned. It's focusing its AI investments on product experiences, content production, and advertising. Despite Netflix’s “all in” attitude, consumers are still hesitant about genAI content in creative fields, including genAI advertisements. CMOs should innovate responsibly by testing AI-driven creative tools where they can enhance performance while maintaining transparency and human oversight. Piloting AI in infrastructure tools—such as website search and customer service agents—rather than creative content could also help customers be more comfortable with its applications.
Meta will cut 600 roles from its Superintelligence Labs (MSL) division as it tries to move faster in the AI race. The layoffs are concentrated on its Fundamental AI Research (FAIR) unit, per Axios. Hiring will continue for Meta’s newly formed TBD Lab group, which has been poaching AI-skilled employees from OpenAI and Apple with splashy and costly buyouts. The rush to commercialize AI raises the need to invest in responsible research. Sustainable AI performance could depend as much on guardrails as it does on growth: CMOs should invest in AI tools that deliver measurable impact today while prioritizing vendors that vet tools, establish guardrails, and demonstrate accountability to protect both brand equity and consumer trust.
The New York Times is adding a Watch tab to its app Wednesday in an effort to boost engagement and usher in more advertising business. The tab will feature a mix of short-form, swipeable, vertical video content, per Adweek. In early 2026, the publisher plans to open video ad placements within the tab to brands through a beta program, per Axios. As publishers introduce vertical video ad inventory, marketers should rethink their media mix to include premium placements that mirror the engagement of social video—while considering how those ads may appear alongside hard news or opinion content.
Amazon plans to replace over 500,000 human jobs with robots as part of a major automation drive aimed at speeding up deliveries and cutting costs, according to The New York Times. After years of workforce expansion, the company is now focused on streamlining operations, with new robotic warehouses like its Shreveport, Louisiana facility already reducing staffing needs by 25%. Amazon expects to replicate this model nationwide by 2027, maintaining headcount while doubling sales by 2033. The shift toward automation is designed to boost efficiency, cut per-package costs, and reinforce Amazon’s dominance in US ecommerce through faster, cheaper fulfillment.
OpenAI launched an AI-powered browser—ChatGPT Atlas—and jumped headfirst into a new kind of rivalry with Google and Perplexity. ChatGPT Atlas is built around OpenAI’s flagship chatbot and features agentic capabilities. The browser is available globally on macOS, and access for Windows, iOS, and Android users is coming soon, per OpenAI. Companies should start optimizing for conversational search by ensuring websites are structured so AI agents can easily find and surface them in user queries. Brands should test both Atlas and Comet to see how their content surfaces and understand how AI browsers engage with users.
A minor technical failure took down Amazon Web Services (AWS) for several hours. Disrupted financial apps reportedly included Chime, Coinbase, and Venmo. Some financial institutions (FIs) were also reportedly affected.A mistake in a digital transformation project or a poor choice of vendor can have far-reaching consequences for a bank’s customer relationships and compliance with recordkeeping regulations. The solution for banks that can afford it has been redundancy through hybrid deployments to the cloud and on-premise.
Amazon Web Services (AWS) suffered an outage that continued to disrupt services into Monday afternoon, degrading services across more than a thousand company websites, including Disney+, Reddit, McDonald’s, Facebook, United Airlines, Coinbase, Perplexity, and Canva, per The Verge. Businesses reliant on a single cloud vendor could face operational, legal, and reputational risks when outages hit public services, banks, and travel sectors simultaneously. Brands should audit vendor dependencies, test crisis communication flows, and prioritize multi-cloud failover readiness to safeguard user experience during inevitable disruptions.
Adobe’s new genAI model marketplace—Adobe AI Foundry—lets brands create bespoke versions of its Firefly AI model. The marketplace helps enterprise users train and deploy customized content-creation models by retraining Firefly’s base knowledge. The models can understand brands’ tone, style, and products, per VentureBeat, then generate content accordingly. Platforms like Adobe AI Foundry could help marketers create more relevant, personalized ad experiences across platforms. CMOs should treat model customization as a way to consolidate creative tools and vendors while scaling personalization at speed, using it to strengthen collaboration between in-house teams and agencies.
B2B buyers are leaning on AI tools for vendor selection, raising the stakes for surfacing in AI results. Eight in 10 global B2B buyers in the tech industry use genAI as much as traditional search when researching vendors, per Responsive’s Inside the Buyer’s Mind report. Four in 10 use genAI and traditional search equally. B2B marketers can insert themselves early in buyers’ discovery, vetting, and selection process by focusing generative engine optimization (GEO) efforts on controllable platforms. Ensure website information is structured and easy to parse by publishing clear FAQ pages with information on pricing, use cases, and product offerings.
The connected car is shifting from a tech talking point to a marketing one as in-car entertainment becomes the next attention battleground for advertisers. Nearly two-thirds (63%) want infotainment systems to give them personalized recommendations based on listening behavior, and 67% want those systems to organize content seamlessly. A brief window exists before in-car ecosystems mature and become harder to penetrate. Marketers should act now by experimenting with partnerships, designing “car-first” experiences, establishing a cross-device identity, and investing in personalization.
YouTube now reaches 76.3% of Mexico’s internet users and has become the default screen in Mexican homes, per DataReportal. But the bigger story is how it’s being watched—mostly through connected TV (CTV). YouTube now sits at the center of Mexico’s CTV and cultural ecosystem. There’s an opportunity for marketers to capture attention by seeking out partner creators for sponsorships. Brands looking to connect should prioritize long-form CTV strategies that hold attention on the big screen, collaborate with local creators who understand community dynamics. and develop original, Spanish-language content that reflects local culture and values.
WhatsApp is tackling spam with a message-capping feature that limits how many messages users and businesses can send without getting a reply from the recipient. When a user nears the limit, which hasn’t been defined yet, they’ll get a pop-up warning to help them avoid being blocked from sending messages, per TechCrunch. Brands need to segment audiences more carefully and measure message quality, not just output volume. To maintain trust, companies should streamline their communication, focus on relevance, and avoid messaging fatigue to talk less and connect more.
AI is rapidly becoming central to retail operations, with 45% of organizations using AI tools daily and nearly all planning to sustain or increase investments next year, according to an Amperity survey. While fears of mass job losses have yet to materialize, ongoing economic pressures—including weak consumer sentiment, rising inflation, and a softening labor market—are driving a surge in layoffs. As companies turn to AI to boost efficiency and manage costs, the challenge lies in balancing automation with the human expertise needed to navigate uncertain times.