On today’s podcast episode, we discuss the biggest discrepancy by device with regards to where we spend our time versus how many ad dollars are aimed there, why social players want to take a page from YouTube’s CTV playbook, and why sub OTT’s unusual path to advertising has created major misalignments. Join Senior Director of Podcasts and host, Marcus Johnson, Principal Forecasting Writer, Ethan Cramer-Flood, and Senior Analyst, Minda Smiley. Listen everywhere and watch on YouTube and Spotify.
The news: Netflix’s heavy use of algorithms to shape recommendations and even greenlight shows is facing criticism for stifling originality. The platform tracks what viewers watch, how long they stay, and when and where they tune in. Algorithms then predict which shows to produce and promote, prioritizing scale and retention over creative risks. Our take: Netflix’s algorithm-first strategy may boost retention in the short term, but it risks long-term brand erosion in an oversaturated market. With viewers favoring platforms that deliver originality and cultural impact, rivals investing in originality and prestige programming have a clear opening to capture Netflix’s fatigued subscribers.
The news: As newsletter platforms battle for creator loyalty, Substack is positioning itself as a social network, not just a writing platform. As more creators jump ship from platforms like Patreon, they’re pointing to Substack’s community tools and discovery features as drivers of subscribers and revenues, per Digiday. Our take: Substack isn’t just for sending emails anymore—it is quickly becoming a social network for writers and brands alike. Brands and creators should think of it less like a newsletter option and more like a growth channel for community: a crucial aspect of discovery and engagement.
The news: Nvidia’s latest earnings report shows that spending on AI infrastructure remains strong, even as some metrics normalize after explosive growth. Despite robust numbers, Nvidia’s stock dipped slightly on Thursday, owing in part to the market’s excessive expectations of the industry giant. Our take: Nvidia is still riding the AI wave but is entering a more complex phase as expectations outpace results. If investment outruns adoption or monetization, the sector risks overkill. The test will be whether user demand and AI application development can keep pace with this level of spending.
The news: Online retail traffic from generative AI (genAI) sources is exploding, highlighting how AI tools are intercepting and guiding the product search journey. GenAI traffic to US retail sites grew 4,700% YoY in July, per Adobe Digital Insights. 38% of US consumers have used genAI for shopping, and another 52% plan to do so this year. Our take: Brands need to market to both machines and people to avoid being excluded from AI results. Success will involve understanding how models interpret product data and reviews and aligning messaging with the signals AI uses to index and recommend products.
The news: Google Vids rolled out AI avatars, a Veo-powered image-to-video tool, and automatic transcript trimming. Google also announced that features like noise cancellation, custom backgrounds, video filters, and appearance options will be generally available next month. Our take: Brands should: Develop AI content guidelines that set up a clear voice, tone, and message structure to keep scripts brand-consistent. Use AI for speed, not substance. Let the technology handle repetitive tasks, but rely on human input for concepting and storytelling to ensure messages retain emotional nuance—something AI may lack. Pilot, then scale. Test AI video tools on low-risk internal content before expanding to public-facing campaigns.
The news: Spotify added direct messaging to its free and premium tiers, marking a major step toward the streaming platform becoming a more social destination. Messaging is available one-on-one on mobile devices, and users can only start conversations with people they’ve already shared content with—like a collaborative playlist or participating in a Blend or Jam. Our take: For marketers, this opens up greater potential for content virality, social-driven campaigns, and integrations with creators and communities. Brands should explore building shareable, collaborative music experiences, like sponsored playlists or interactive audio experiences built for DM sharing.
The news: Google Translate is taking on Duolingo with a slate of new features, including a focus on gamification. An app update includes customizable language lessons based on skill level and is currently available for English, Spanish, and French learners. The lessons track users’ daily progress, similar to Duolingo’s popular “streaks” feature, and can create practice scenarios based on user prompts. Our take: Gamification and interactive features can boost engagement, but AI tools aren’t free to operate. Google may swallow Gemini’s translation costs to keep the service free, a perk that Big Tech’s deep pockets can easily handle and that Duolingo might have a difficult time matching.
On today’s podcast episode, we discuss what AI Overviews are doing to search behavior, some potential new business models for the internet, and how much “AI slop” might encourage folks to decrease their time on the web. Join Senior Director of Podcasts and host, Marcus Johnson, Analyst, Grace Harmon, and the CEO and Founder of CMO Huddles, and host of the Renegade Marketers Unite podcast, Drew Neisser. Listen everywhere and watch on YouTube and Spotify.
The news: Meta and Midjourney formed a partnership to bring more image-generation tools to Facebook and Instagram. Meta is licensing Midjourney’s “aesthetic technology” for users and brands, Meta chief AI officer Alexandr Wang posted on Threads. He implied that the agreement may go past licensing and involve collaboration with Meta’s research teams to integrate Midjourney into future models and products. Our take: Brands should experiment with Midjourney to streamline content creation for Meta campaigns. However, they should also monitor outputs carefully for quality and copyright issues, especially considering Midjourney has faced allegations of IP misuse. Fast creation is only an advantage if it doesn’t trigger legal or reputational backlash.
The news: Perplexity added a standalone subscription tier for its Comet agentic AI browser that will fund a $42.5 million publisher revenue-sharing program. Comet Plus costs $5 per month and gives users access to “premium content from a group of trusted publishers and journalists.” The browser is included in Perplexity Pro and Max subscriptions. Our take: Brands should actively monitor how their content is used across AI platforms and consider usage-based deals for fair compensation, especially if content is regularly surfaced by AI tools. They should also examine the real revenue potential of partnerships like Comet Plus and scrutinize audience size, payout structures, and long-term sustainability before committing.
The news: Cohere launched Command A Reasoning, its first enterprise-tuned large language model (LLM). Designed for secure environments, the model handles agentic customer service, research, and automation tasks at scale. Its big-business focus is rooted in its ability to integrate with existing tools, support for on-premises deployment, and strict data controls. Our take: Enterprise AI is shifting from optional to operational. Vendors that deliver reliability, guardrails, and measurable value—like Command A Reasoning and Agentforce—will win long-term adoption over general-purpose models built for show, not scale.
The news: Elon Musk tried to enlist Meta CEO Mark Zuckerberg in a $97.4 billion takeover of OpenAI in February, per court filings in OpenAI’s ongoing countersuit against Musk. The failed bid was Musk’s response to OpenAI’s potential shift to a for-profit model, which he claims broke its founding mission. Our take: The initial phase of the AI boom, defined by research breakthroughs and experimentation, is giving way to a more aggressive era of market consolidation, legal entanglements, and power politics. Litigation is emerging as the last resort when innovation stalls or acquisition paths close—an indicator that the AI industry could be entering a defensive phase where court battles stand in for competitive breakthroughs.
The news: Meta will spend more than $10 billion on Google Cloud over six years, making it one of Google’s largest-ever contracts, per CNBC. Despite running its own data centers and using Amazon Web Services (AWS) and Microsoft Azure, Meta’s growth requires additional cloud capacity. The deal demonstrates how even fierce ad rivals can align when AI demands massive computing scale. Our take: When it comes to AI, the old rules of competition no longer apply. Cloud rivals are forced into uneasy alliances to remain competitive as infrastructure demand explodes. For AWS and Azure, keeping pace with Google Cloud means doubling down on custom silicon, broadening AI partnerships, and proving they can deliver the scale and neutrality that Google is now signaling to the market.
The news: Snap is seeking outside funding for its AR Spectacles as it struggles to compete with Meta platforms and TikTok, per The Information. Our take: Bringing in outside capital could help Snap accelerate AR development without draining its core business. The possibility of gathering outside investment also highlights how critical Snap’s AR bet has become and how high the stakes are. Staying competitive requires Snap to prove Spectacles can evolve past a niche hardware play and compete with strong AI alternatives. If it can’t, Snap may get stuck in the middle, overshadowed by platforms that are faster, bigger, and richer.
The news: 46% of US adults check their phones between 10 and 50 times per day, per a YouGov survey, presenting brands with a strong opportunity to create sticky, habit-forming mobile experiences. Sixty-four percent of survey respondents have at least one paid mobile app subscription, showing that consumers are willing to pay if apps provide solutions to users’ needs. Our take: B2C marketers looking to drive subscriptions or paid features need to ensure apps deliver immediate, ongoing value that users will turn to daily. For apps that can’t hit the bar of essential utility, a freemium or ad-supported model can offer more realistic monetization paths.
The news: Meta’s new auto-translation feature for Reels could simplify global content sharing. The AI-powered translation tool can automatically dub and lip-sync Reels on Instagram and Facebook into other languages, including English, Spanish, and Portuguese. It’s available to Facebook creators with at least 1,000 followers and to all public Instagram accounts. Our take: Creators and brands should lean into short-form multilingual content to maximize audience reach and watch for engagement spikes in views in unexpected regions to identify new markets and audiences worth targeting.
The news: Google is bringing Gemini AI to the living room. Starting in October, Gemini for Home will replace Google Assistant on Nest speakers and displays, per The Verge. Gemini for Home opens new channels for contextual, voice-driven ad engagement inside households. With millions of Nest and Google Home devices expected to get the upgrade, the scale is massive and the stakes are high. Our take: Gemini for Home lets Google fuse search ads with household AI. But winning against Amazon will depend on trust, adoption, seamless ad integration, and pricing. Google’s challenge is making its service compelling enough to drive adoption and subscribers.
The news: YouTube Music is celebrating its 10-year anniversary with a slate of new features, bringing it closer to serving as a full Spotify replacement. Our take: As music platforms evolve into social ecosystems, brand strategies should adapt from passive ad placements to active participation. Testing new ad formats in Taste Match playlists and comments could provide organic brand presence, while partnering with artists who already bridge YouTube’s properties opens access to engaged, music-first communities.
The news: Publishers are tackling AI scraping with a new strategy—pay per crawl. Rather than one-time licensing deals, usage-based compensation models would have AI companies pay publishers and content providers based on how often their work is used in AI-generated responses. Our take: These usage-based models could be a more equitable deal for publishers whose content powers AI engines that are earning tens or hundreds of millions of dollars per year. To avoid getting locked out of monetization, brands should act now to review existing content agreements, explore licensing opportunities, and push for fairer models that recognize the value of original content.