The news: While major companies are picking up generative AI (genAI) for coding, many developers remain skeptical about using it without human oversight. Three-quarters (78%) said AI tools have made them more productive, but a similar share (76%) don’t entirely trust AI-generated code, per Qodo’s The State of AI Code Quality report. Our take: Remaining skepticism from developers—one of the professions closest to AI—shows that companies use genAI as a support tool and co-pilot rather than a replacement for human judgment. Training employees on AI’s weaknesses and requiring review can help reduce errors.
The news: Google is bringing its generative AI (genAI) suite deeper into classrooms, launching Gemini and NotebookLM tools as part of Google Classroom for students under 18. It’s the first time NotebookLM—a research and note-taking AI—will be accessible to minors, per The Verge. Our take: Marketers and edtech players should align with Google’s expanding education stack. Building AI-integrated tools that plug into Google Classroom, optimizing content for Gemini-powered workflows, and creating solutions that run smoothly on Chromebooks can address the needs of a captive audience.
Our take: OpenAI’s first-mover advantage is under threat from all sides—vertically from specialized AI agents, horizontally from rival chatbots, and internally from talent wars and Microsoft. The news: OpenAI’s ChatGPT has rapidly become a mainstream AI tool, with new data showing that 34% of US adults have now used it—almost double the 2023 figures, per Pew Research Center. For CMOs and CTOs, this means betting on ChatGPT’s current dominance while preparing for a fragmented future where no single platform reigns supreme. Finding the right AI solutions for specific use cases is a smarter play than betting the farm on an all-in-one solutions provider.
The news: YouTube launched an AI search function that could streamline the content discovery journey but pose problems for smaller creators and influencers. The feature gives users a carousel of relevant videos in response to their search queries, similar to Google’s AI Overviews. Our take: With YouTube’s vast content library, AI search could help users find relevant content faster, though opacity around how its algorithm surfaces videos means creators may need to experiment with keywords and video titles to see which strategies get their content placed in AI video carousels.
The news: Instagram and TikTok are working on plans to develop connected TV (CTV) apps to mimic the success of YouTube’s big-screen push, per The Information. Our take: Advertisers may be hesitant to spend on placements before user adoption is proven. TikTok and Meta should prepare for initial losses and, to ensure a robust content pipeline for TV, introduce new simple editing tools or financial incentives to help creators optimize vertical posts for the horizontal big screen.
The news: Bumble laid off 30% of its staff and announced it’s returning to a “startup mentality” as dating app engagement declines. The announcement led its stock to rise 25% Wednesday. Bumble and the online dating industry as a whole are at an “inflection point,” CEO Whitney Wolfe Herd said in an employee memo. Our take: Unless Bumble successfully reinvests those cost savings into tangible user benefits—like better safety measures and more personalized matchmaking—it could lose relevance in a saturated, burning-out dating market.
The news: News publishers are investing in social media presence that may not be creating meaningful referral traffic. Although publishers are working to meet audiences where they are—on social and video platforms—their content is being watched, not clicked, per Digiday. Our take: Despite social media not converting engagement into referral traffic, news publishers have little option but to remain—leaving social platforms means losing user attention. Publishers may need to boost their efforts in community-driven channels like Substack and podcasts to foster engagement and reader loyalty.
The news: A federal judge gave Anthropic the green light this week to train its AI on millions of pirated books—declaring it “fair use”—even as the company used methods that resembled digital looting, per CNET. Our take: 24% of marketers say copyright concerns will be a big challenge for generative AI (genAI) in the next two years, per Econsultancy. To protect themselves, agencies need to pressure-test genAI vendors and ask tough questions about how models were trained—before the lawsuits land on their desks.
The news: Advertisers are prioritizing interactive video ads to capture users and boost engagement as social media and YouTube consume ad spend. 52% of advertisers expect to use interactive features in at least 26% of their ads this year, per Digiday and PadSquad’s 2025 State of the Industry survey. Only 7% neither use and nor plan to use interactive video features in their ads. Our take: In a saturated media market, getting and keeping consumers’ attention is a difficult endeavor. Integrating gamified features and personalized media elements can help ensure that marketing campaigns are seen and not just scrolled past.
The news: The AR and VR headset market is rebounding, led by Meta’s success. Global headset shipments grew 18.1% YoY in Q1 2025, per the International Data Corporation’s (IDC) Augmented and Virtual Reality Headset Tracker. Meta held a 50.8% market share, up from 36.2% in Q1 2024, cementing its role as an industry leader but indicating the market could be reliant on a single player. Our take: Brands should make content that’s adaptable to both headsets and smart glasses to accommodate changing consumer interests. Investing in glasses-centric content can target consumers, while MR activations could be ideal for enterprise use cases such as training employees.
The news: Cybersecurity researchers discovered 16 billion leaked login credential files across 30 previously unreported data sets. It’s considered the biggest data breach in history, affecting major platforms including Facebook, Google, Apple, GitHub, Telegram, and US government services, per Fortune. Our take: With billions of credentials now on the loose, marketers should treat brand systems as compromised. Auditing accounts, enforcing password resets, and demanding stricter multifactor or QR-code based methods are necessary safeguards. The cost of prevention pales compared to recovering from compromised campaigns, stolen customer data, and ransomware resulting in damaged brand reputation.
The news: US adults are increasingly dependent on digital platforms for news, with social media and video overtaking traditional news outlets for the first time. 54% of US adults get their news from social media, per the Reuters Institute’s 2025 Digital News Report, compared with 50% from TV news and 48% from news websites and apps. Our take: Linear platforms could offer personalized news digests and mobile- and social- friendly content to reengage younger users, while advertisers should diversify their campaigns across social media platforms to follow fragmented user engagement.
The news: Amazon CEO Andy Jassy said AI-driven efficiencies will reduce the company’s headcount. “As we roll out more generative AI and agents …we will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs,” Jassy said in a letter to employees. “In the next few years, we expect that this will reduce our total corporate workforce.” Our take: Companies that pursue an AI-first mission by laying off employees risk lower team morale, a resistance to AI adoption among workers, and damaged consumer trust. Still, Amazon’s scale, deep pockets, and cloud infrastructure dominance may insulate it from backlash or major fallout.
The news: OpenAI is discounting enterprise ChatGPT subscriptions—but only if customers agree to buy more AI products. Microsoft is unhappy, as it rarely offers discounts for its competing services aimed at enterprise users, per The Information. Key takeaway: Business leaders should anticipate potential shifts in AI pricing resulting from fraying alliances and increased competition between OpenAI and Microsoft. Lock in longer-term pricing and negotiate for essential services while pushing back on expensive add-ons. Diversifying AI vendors and solutions reduces reliance on single entities and provides opportunities for testing of models from different sources, some of which may be more easily customized for specific use cases.
The news: Meta’s $14 billion investment in Scale AI drove Google to cut ties with the startup. With Meta now owning a 49% stake, Google could be concerned that contracting with Scale would give Meta access to its proprietary data. Our take: Big Tech is racing to consolidate control over AI and cloud security infrastructure. Independence and agility could help companies avoid vendor lock-ins and data entanglement as regulators close in.
The news: Google blamed a faulty, untested policy update—not overloaded infrastructure—for triggering a Google Cloud outage that took down Gmail, Cloudflare, Shopify, and many others. It admitted to skipping standard risk safeguards, per CNBC. Our take: The next outage is a matter of when, not if—and the time to prepare is now. CMOs should pressure vendors for transparency, diversify martech stacks to reduce dependency, and ensure business continuity plans cover cloud failures and system disruptions.
The news: Streaming watch time outpaced cable and broadcast combined for the first time ever. Streaming accounted for 44.8% of TV viewing in May, per Nielsen, compared with broadcast’s 20.1% and cable’s 24.1%.Our take: With TV viewership increasingly fragmented, advertisers that abandon cable and broadband entirely could leave many consumers behind. Brands should use a hybrid placement model that makes selective investments in linear TV while using streaming to reach younger cord-cutters, helping to retain flexibility as user habits fluctuate.
The news: Adobe aims to help brands and publishers improve content placement in AI browsers, search tools, and chatbots with its new suite of AI tools—LLM Optimizer. What it does: LLM Optimizer tracks which content and offerings—such as website details, products, or articles—are being shown in AI interfaces and where they’re appearing. Our take: Adobe’s new tools, especially outcome metrics and actionable recommendations, can help marketers and brands craft tailored SEO for each platform—browsers, AI Overviews, and chatbots—and surface data-driven solutions to help improve their AI search presence.
The news: Marketing teams are rapidly integrating AI tools into search engine optimization (SEO) workflows. A vast majority (86%) of US SEO professionals and digital marketers use ChatGPT alongside traditional platforms like Ahrefs (64%) and Semrush (56%), per a Databox survey to understand how generative AI (genAI) is changing their work in 2025. Our take: As shifts from traditional search to AI chatbots continue to alter the marketing landscape, CMOs need to maintain a balanced approach to AI integration while preserving traditional SEO foundations. Combining AI’s efficiency with human oversight is key to ensure brand control while exploring emerging search and SEO opportunities.
The news: Generative AI (genAI) is taking on a multifaceted role in users’ lives, as an influencer, a personal companion, and a consumer proxy. 87% of genAI users would consider asking the technology for social or relationship advice, per Accenture’s Me, My Brand and AI: The New World of Consumer Engagement survey. Our take: Embedding AI tools like chatbots, agents, and recommendation engines into brand websites can help users shop faster and discover new content. Offering transparency around data use and building opt-out features could help users trust the tools more and give them the peace of mind to hand over personal information in exchange for assistance and recommendations.