The news: OpenAI is bringing its newest models to Amazon Web Services (AWS) for the first time, marking a major milestone in the ongoing battle for AI cloud dominance. Its open-weight models, gpt-oss-120b and gpt-oss-20b—available via Amazon Bedrock and SageMaker AI platforms—are able to handle complicated text-based operations and integrate into cloud-based systems. Our take: OpenAI’s models are getting easier to access, meaning lower costs and fewer technical hurdles to trying powerful AI tools. AWS customers should start testing oss-120b and oss-20b for things like generating subject lines, social copy, and campaign variations and explore ways to fine-tune the models with company data.
The news: Startup ElevenLabs launched Eleven Music, a platform that gives brands and creators copyright-safe tools to generate custom music and audio. Users can enter prompts in plain English—such as “make me an upbeat disco track with background vocals”—and get a track within minutes, per The Wall Street Journal. Our take: Services like ElevenLabs can democratize music creation for video campaigns and empower smaller brands to create original campaign content with minimal effort. But with growing concern over AI’s role in creative industries, brands should remain transparent about AI use, keep human creatives on staff as backstops, and use AI when it can complement rather than replace human work.
The news: Cohere wants to ease enterprise concerns around AI adoption with the launch of North, its new flagship platform. North is a privately deployable agentic platform that lets companies create, manage, and deploy AI agents entirely behind their own firewall. Our take: With the frenetic pace of AI model launches and the pressure for quick enterprise adoption, data governance and security can’t be an afterthought. Platforms like North give enterprises a path to adopt powerful AI tools without giving up control over sensitive information.
The news: Big Tech’s Q2 2025 earnings reveal Microsoft, Alphabet (Google), Meta, and Amazon are expected to spend up to $364 billion to $400 billion collectively on capital expenditures in their 2025 fiscal years, with the vast majority targeted toward AI-related infrastructure, per The Wall Street Journal. Our first take: Big Tech is doubling down on generative AI (genAI) as its next growth engine. This massive buildout is already squeezing cloud margins, straining data center capacity and igniting a talent arms race.
The news: Google is gearing up for a wide release of ads in AI Mode search as advertisers grapple with concerns over brand safety and performance erosion in AI-curated environments. Our take: Even as concerns over Google’s ad dominance linger and advertisers consider competitors, cutting spend on Google entirely remains highly unlikely—but the dominoes are stacking up against Google. Ads in AI mode shows the search giant is taking steps to protect itself in an increasingly competitive ecosystem.
In an EMARKETER interview, Reddit COO Jen Wong shared optimism following the platform’s strong Q2, highlighting its focus on delivering ad outcomes over increasing ad load. Despite capturing just over 1% of US social ad spend, Reddit is growing ARPU through investments in machine learning, creative tools like Memorable AI, and advertiser infrastructure. Wong emphasized Reddit’s auction model supports full-funnel goals, while global expansion is underway through localized insights and self-serve adoption. She spotlighted Reddit Community Intelligence as a milestone, enabling brands to tap into decades of authentic discussion data. The company’s long-term bet: authenticity will outperform algorithms.
The news: OpenAI abruptly discontinued a ChatGPT “share” feature after widespread criticism of its opt-in functionality surfaced thousands of unintended private chats in Google Search results. If a user checked a box to “make this chat discoverable” (sometimes accidentally or not fully understanding the warning), Google and other search engines could “see” these chat links and add them to public search results. Our take: The AI industry’s “move fast and break things” ethos is clashing with the non-negotiable demands of data protection. For marketers reliant on AI for strategic planning and analysis, security and data privacy are paramount. Companies demonstrating a strong security focus could stand out from competitors.
The news: YouTube is giving connected TV (CTV) users the ability to skip to the most-viewed part of a video, helping them avoid slow moments or sponsored content. The feature was previously available on mobile and web for Premium subscribers and is now rolling out to Premium users who watch YouTube on its CTV app, per Android Authority. Our take: Influencer sponsored content spots are becoming more invisible and avoidable. Brands should pivot toward native product integrations within core content or have creators place sponsorships in pre- and post-roll messaging, which may be less likely to be bypassed by AI. The era of passive viewing is over. Viewers have more control, and brands need to adapt to stay visible.
The news: Apple CEO Tim Cook confirmed plans to “significantly” increase AI investments, including acquisitions. The iPhone-maker acquired seven firms this year, some focused on AI, and remains open to deals of any size to boost capabilities, per Business Insider. Our take: Apple’s focus on efficiency and partnerships suggests incremental but impactful AI-driven tools will emerge, especially around privacy-first and device-dependent personalization. Prepare for evolving Apple AI features that emphasize user privacy. Balance campaigns between Apple’s controlled environment and more open, AI-reliant ecosystems like Google’s and Meta’s to optimize reach and precision.
The news: Amazon plans to put ads in its AI-powered Alexa+ voice assistant to boost product discovery and profits. Our take: If Amazon rolls out sponsored answers to Alexa+ user queries or in-conversation ads, the voice assistant’s vast trove of personal user data will help marketers target consumers on a micro level. However, if hallucinations arise and lead to irrelevant or inaccurate product recommendations, Amazon risks eroding both user trust and brand confidence.
The news: Reddit is positioning itself as a full-fledged search engine, with over 70 million weekly active users (WAUs) using its search functionality. As part of its strategy to house a full-fledged search engine within its website, the company is expanding its AI-powered conversational interface, Reddit Answers, and making it a central feature on the platform around the world. Reddit Answers has grown to 6 million WAUs from 1 million in December. Our take: If Reddit succeeds in becoming a self-sustaining search platform, it will become an even more valuable asset for marketers looking to target niche audiences and get in on the consumer purchase journey early. Advertisers should start identifying specific subreddits where their audience are already active, experiment with Reddit’s ad formats, and optimize content to surface in the platform’s search results.
Reddit posted a standout Q2 2025, with revenues jumping 78% year-over-year to $500 million—including $465 million in ad revenue, up 84%. Net income reached $89 million with strong EBITDA and free cash flow. Global DAUs grew 21% to 110.4 million, and US ARPU climbed 59% to $7.87, signaling improved monetization. Reddit is now a billion-dollar US ad business a year ahead of forecasts, driven by growth in AI ad tools. Yet challenges remain: Reddit still holds only 1.1% of US social ad spend and relies heavily on Google Search traffic. Sustaining growth means reshaping advertiser perception and boosting direct engagement.
The news: Merck is teaming with McKinsey for a generative AI (genAI) program that streamlines clinical study reports (CSRs). The takeaway: GenAI is ideal for time-intensive precise medical writing and frees content creators for oversight and strategic tasks. While Merck and some others are already using it for regulatory filings, those who stall or keep their pilots in the experimentation phase risk losing valuable time-to-market advantages.
LinkedIn posted 9% YoY revenue growth in its June-ending quarter, fueled by rising engagement, B2B ad demand, and AI-powered tools. Despite soft hiring trends, sessions rose 11% YoY as more creators and professionals use LinkedIn for content, networking, and branding. Microsoft CEO Satya Nadella emphasized the platform’s evolution from a resume archive to a dynamic business hub. AI continues to drive efficiency and creativity across features, benefiting both users and advertisers. With strong identity data and a trusted audience, LinkedIn is carving out a stable, differentiated space in social media—positioning itself for long-term relevance beyond recruitment cycles.
The news: More than half (51%) of customer service journeys start on search engines and third-party platforms like Google, YouTube, Reddit, and ChatGPT—rather than company websites—prompting businesses to meet customers where they are, per a recent Gartner survey. Our take: Brands need to research and identify the platforms their customers rely on and establish fast, responsive service on those channels. The goal isn’t to pull users back to official websites—it’s to meet them where they already are, with the answers they need, when they need them. Using generative engine optimization (GEO) best practices to boost customer service answers in genAI outputs could help younger consumers get digestible, fast answers in their preferred channel.
Microsoft reported $76.4 billion in Q2 revenue, up 18% YoY, as cloud infrastructure, productivity software, and embedded AI drove strong performance. Microsoft Cloud grew 27% to $46.7 billion, and Azure's annual run rate surpassed $75 billion, overtaking Google Cloud. Enterprise adoption of tools like Dynamics 365 continues to rise, reinforcing Microsoft’s role in AI-powered operations. Following the report, Microsoft’s market cap crossed $4 trillion. The company plans to spend $80 billion in fiscal 2025 to expand its AI infrastructure, while showing capital discipline. Microsoft is positioning itself as the foundational enterprise platform for the AI era.
Meta’s Q2 2025 earnings showed the company thriving despite softening engagement in mature markets. Revenue surged 22% YoY to $47.52 billion, largely driven by better ad pricing, AI-optimized performance tools, and growing monetization via WhatsApp. Although user growth was modest, Meta demonstrated strong pricing power—especially in North America and Europe—and continues to see big potential in Asia-Pacific. Operating margins remained healthy at 43%, even with record AI investments. As Meta extracts more value per user and expands monetization across platforms, its performance proves that engagement isn’t the only growth lever—it’s how well each session gets monetized.
The news: Microsoft’s latest earnings reflect more than just a Wall Street beat—they signal a deeper shift in how enterprises are adopting productivity software, cloud infrastructure, and embedded AI to run their businesses. It reported $76.4 billion in revenues, up 18% YoY. Microsoft Cloud made up $46.7 billion of those revenues, up 27% YoY, as cloud demand remains strong across all workloads. Our take: With strong recurring revenue, expanding AI use cases, and leadership across productivity and cloud, Microsoft is increasingly well-insulated from macroeconomic headwinds and well positioned to shape the future of work and software.
The news: OpenAI is preparing to launch GPT-5, a model that will combine traditional GPT capabilities with o3-series reasoning—marking a major leap in performance and model simplification. Our take: GPT-5 could streamline content creation, search, and CX workflows, leading to renewed industry adoption and customization. Enterprise customers should test GPT-5’s API early. Align adoption with marketing workflows and consider consolidating tools into a single platform to reduce costs. Early movers will shape the future of customer engagement.
The news: Cyata launched a platform that detects, authenticates, and governs “agentic identities” as adoption of autonomous AI agents is exploding—96% of IT leaders will increase agent use in 2025, Cloudera reports. Digital agents integrating into the workforce pose new risks—ones traditional identity and access management (IAM) tools are not equipped to handle, per VentureBeat. Our take: Managing mixed human and agentic workers won’t be optional for long—it will become a baseline requirement as AI agents move from edge cases to everyday tools. Companies that delay could risk operational blind spots, compliance gaps, and uncontrolled AI autonomy.