The news: Use of AI search tools is surging, which could soon spell trouble for Google’s market dominance. The share of consumers using of AI search tools on a daily basis doubled to 29% in August, per HigherVisibility’s 2025 How People Search Today report, up from 14% in February. Meanwhile, Google’s share of general information queries fell from 73% to 67%. Our take: Brands and marketers need to tailor their campaigns and strategies based on user intent. Those looking to attract new shoppers should invest in social media and AI search placements, while those focused on driving traffic for services or capturing high-intent buyers should prioritize Google, especially for initial discovery and location-based queries.
The news: Google has cut 35% of managers overseeing small teams, part of a sweeping drive to streamline operations. The focus: fewer layers, less bureaucracy, and a leaner leadership footprint. Many managers now serve as individual contributors, per CNBC. Our take: Google’s rapid thinning of management aims to make the tech giant more nimble and cost-efficient. The realignment signals a company eager to do more with less—possibly speeding decision cycles and innovation, but also tightening access to internal advocates and resources. Leaner teams could mean faster product rollouts and ad platform tweaks—but also less support and fewer points of contact for advertisers inside Google’s vast marketing machine.
The news: Instagram’s latest updates to direct messaging could help brands and creators better organize communications, making the platform a go-to for striking brand partnerships and engaging with customers. Meta added several filtering options to Instagram, including the option to sort DMs by unread or unanswered messages as well as by the senders’ follow count and verification status. Creators can also streamline inbox management with new folders. Our take: These are more than just admin updates—they’re features that pave the way for a future where DMs are central to engagement. Investing time and resources in intentional messaging workflows can help treat DMs as a high-impact channel and a meeting point between companies and consumers.
The news: Software now eats 40% of cybersecurity spend to defend against AI-driven attacks—11 points more than personnel (29%) and nearly triple hardware (15.8%), per Forrester’s 2026 Security Budget Planning Guide. Our take: Businesses should prioritize innovation that’s harder to cut—first-party data programs, customer-centric automation, and strategic partnerships. These amplify impact and deliver growth even when budgets are tight.
The news: Online scams and internet crimes cost Americans a record $16.6 billion in 2024, per Pew Research, potentially reshaping trust in digital platforms. Almost three-quarters (73%) of US adults have experienced some type of online scam, ranging from phishing attempts and online shopping scams to credit card fraud. Most adults report getting weekly scam phone calls (68%), emails (63%) or text messages (61%) that attempt to collect their personal information. The big takeaway: To attract new customers and assuage scam-related hesitations, brands need to be proactive about trust in every digital touchpoint.
The news: Meta is struggling to retain talent after its splashy, expensive efforts to poach workers from OpenAI and Google, raising concerns about retention and the stability of its AI strategy. Multiple staff members recruited from OpenAI have returned to their former employer within weeks, per Wired. Some veteran Meta employees have also exited, potentially due to frustrations over the sky-high compensation packages offered to newcomers. Our take: This staff exodus intensifies concerns about Meta’s retention and organizational stability. Money may not equal loyalty, and the departures highlight both the limits of using compensation alone to win the AI talent race and a need to rethink how company culture, values, and mission factor into recruitment strategy.
The news: AI is revolutionizing the way social media managers (SMMs) work, but spending on the tools is surprisingly low. 73% of SMMs, content creators, entrepreneurs, and marketers use AI, per Metricool’s 2025 State of AI in Social Media report. Two-thirds create at least half their content with it. Over half (52%) spend nothing on AI tools each month, and only 8% spend over $50 per month. Our take: Failing to monitor AI’s benefits and limitations could hinder teams’ ability to optimize content or justify investment to higher-ups. CMOs should recognize that adoption alone is not a strategy: Tie outputs to performance data, invest in secure tools, and incentivize teams to move beyond surface-level use to capitalize on AI’s potential.
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: 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: 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: 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: 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.
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.
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: 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: 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 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: 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.