The news: OpenAI will acquire product-testing startup Statsig for $1.1 billion as it expands its applications division. Statsig CEO Vijaye Raji, formerly vice president and head of entertainment at Facebook, will join OpenAI as CTO of applications. OpenAI said the deal, pending regulatory approval, will help it develop “even better, more responsive experiences for the people and businesses we serve,” per a press release. Our take: This deal positions OpenAI to launch entirely new categories of AI-powered experiences—personalized content feeds, collaborative AI tools, or productivity suites.
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.
"In the space of what amounts to less than two years, we've seen commerce media evolve from an emerging idea to an industry pillar," said our analyst Sarah Marzano during a recent EMARKETER webinar.
AI search engine Perplexity is facing potential ad business struggles with the departure of its head of advertising Taz Patel. The departure comes as Perplexity eyes new avenues for growth and is faced with legal pressures, per Adweek. Patel’s departure signals a deeper issue with AI search ad monetization, reflecting advertiser hesitation to spend without proven formats, measurement, and ROI, even as AI adoption grows.
The news: OpenAI is rolling out ChatGPT mental health safeguards for people in crisis and boosting protection specifically for teens with added Parental Controls. Our take: Additional AI guardrails are a positive mental health development, but tech companies should continue to develop more. Healthcare is an important emerging use case for AI, but when it comes to mental health, caution and vigilance needs to trump speed to market.
The news: Anthropic will now require Claude Free, Pro, and Max users to decide whether their conversations can be used to train its AI. The new rules take effect September 28, and business customers remain exempt, per TechCrunch. Some users on Reddit say the change is making them reconsider Anthropic, citing the five-year data retention requirement as heavy handed. Our take: Anthropic says its new policy is intended to empowering user choice, but skepticism over privacy and consent could push users to opt out or seek other alternatives. As more AI providers prioritize data access over user comfort, transparency and trust will become differentiators in a crowded field. AI’s appetite for training data is going to continue to push privacy and copyright boundaries. Anthropic’s ability to manage trust will determine whether the policy change aids or undermines adoption.
The news: Microsoft dropped its first homegrown AI models—MAI-1-Preview and MAI-Voice-1—to prove it can build top-tier AI in-house, not just lean on OpenAI (where it owns 49%). Our take: Microsoft now has a chance to set its AI apart, capture first-party data at scale, and sharpen its models using real-world feedback. Developing its own AI also prepares Microsoft for a future where OpenAI may shift from partner to rival.
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.
The summer boom for marketing interns was more of a thud: A report found that the number of ad industry internships has sharply declined since 2022.
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.
Only 8% of Google searches with AI summaries led to a traditional link click, nearly half the rate of pages without summaries (15%), according to March 2025 data from Pew Research Center.
The situation: Williams-Sonoma is raising prices on select items after its incremental tariff rate doubled since May—from 14% to 28%—due to higher duties on goods from China, India, and Vietnam. More pressure may be ahead after President Donald Trump recently signaled plans to increase tariffs on furniture imports. Our take: Despite operating in the sluggish furniture and home furnishings category—which we project will grow just 0.4% this year—Williams-Sonoma is well-positioned to weather macroeconomic headwinds. Anchored by a diverse brand portfolio that resonates with affluent consumers across life stages, its multipronged strategy—price increases, cost discipline, supply chain improvements, and AI-driven efficiencies—not only will offset tariff pressures but also lay a durable foundation for sustained growth and market share expansion.
The news: Google launched Gemini 2.5 Flash Image (nicknamed nano banana), a generative AI image editor that replaces toolbars with text prompts. Already topping LMArena’s image-editing leaderboard, it signals a shift toward prompt-driven creative tools. Our take: Nano banana, like Veo 3, reinforces Google’s move to establish Gemini as the default AI tool set for marketers, designers, and advertisers. This opens up adoption opportunities beyond text and coding-based genAI applications. For advertisers and marketers, this means two things: Production cycles can compress, and reliance on legacy design platforms could erode if AI tools can compete on price.
The news: ChatGPT’s referral traffic to websites plummeted 52% in a single month after a fundamental shift in how the AI model operates. OpenAI manually reweighted its system to prioritize sources that provide direct, helpful answers, per Search Engine Land. Our take: Declining web traffic means declining revenues. For marketers and publishers, the mandate is to adapt to GEO or risk invisibility in a world where AI answers, not clicks, dominate. Reshaping web content to be more answer oriented could help surface it in ChatGPT, but that’s easier said than done for publishers with legacy content. Companies that move early to understand and influence AI citation patterns will secure a competitive edge as this new content distribution landscape takes shape.
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.
While AI advancements have sparked litigation between publishers and tech giants—The New York Times’ lawsuit against OpenAI for copyright infringement being the most prominent—some publishers are embracing AI partnerships as an essential revenue driver amid shaky search traffic.