AI search startup Perplexity shocked the industry with an unsolicited $34.5 billion all-cash bid for Google’s Chrome browser—despite Chrome not being for sale. The offer comes as a US court weighs whether Google must divest Chrome after an antitrust ruling, and positions Perplexity as a ready operator if a spin-off is ordered. Even if the deal never closes, the move amplifies Perplexity’s profile, pressures Google, and underscores the growing importance of distribution channels alongside model quality in AI competition.

AI-fueled gains kept Google, Meta, and Amazon atop Q2’s ad market, but slowing engagement, murky ROI, and macro risks leave the triopoly’s future growth story more complex than the headlines suggest.

This report compares our 2025 US ad spending and time spent with media forecasts. It identifies incongruities between how marketers are spending ad dollars and where consumers are spending their time.

Some high-engagement platforms are still undermonetized—creating opportunities for advertisers to connect with audiences in less-saturated environments.

The news: 88% of mobile app ad spend is concentrated on Google and Meta, per Moloco’s Performance Through Independence report, despite high user engagement with independent apps. Advertisers who diversified their ad mix beyond the two Big Tech giants saw return on ad spend (ROAS) improve by up to 214%. Our take: Independent mobile apps offer untapped ROI. Reducing reliance on Google and Meta by diversifying mobile app spend could boost reach, hedge against platform risks, and better align with user behavior, especially as privacy challenges threaten to reshape targeting and measurement.

The news: Google is turning search results into a customizable, algorithmic feed. The search giant is rolling out Preferred Sources, which allows users to select their favorite blogs or news outlets to appear the most in the “top stories” section. The feature aims to help users see more content from their favorite sites, per Google. Our take: If search results become a more limited discovery engine, news sites and blogs may need to rely more heavily on traffic through alternative sources. Joining blogging sites like Medium and Substack could help maintain visibility and surface new readers who will add them as preferred news sources, considering the platforms’ focus on content discovery.

The news: Meta’s strategy of hiring its competitors’ top AI engineers reflects the industry’s urgency to ramp up capabilities and get to artificial general intelligence (AGI) first—CEO Mark Zuckerberg stated that was the company’s objective in “delivering personal superintelligence for everyone,” per ZDNET. Our take: Meta is betting big—on people, not just products. This strategy offers speed, proprietary insight, and technical capacity. But it also raises scrutiny from investors and customers expecting it to pay off. Marketers should track Meta’s progress and watch how it integrates newly acquired AI knowledge. If successful, this shift could reinvent ad targeting, creative automation, and user modeling at scale.

The news: Apple Intelligence could integrate OpenAI’s GPT-5, its latest model that combines traditional ChatGPT capabilities with deepo3-series reasoning, as early as next month, per 9to5Mac. Updates for a more personalized and intelligent Siri, originally expected in the iOS 18.4 update, were delayed in March until sometime “in the coming year.” GPT-5 could accelerate that timeline and give Apple a more robust foundation for a truly conversational, autonomous assistant Our take: Marketers and publishers should prepare for reduced visibility through traditional search if assistants like Siri can effectively answer user queries directly. Focus on generative engine optimization (GEO) for conversational AI discovery—think FAQs on websites and succinct answers that large language models (LLM) can easily surface.

On today’s podcast episode, we discuss if Google is actually fending off the AI search competition, what its AI Overviews are doing to search behavior, and why growing AI search usage might not necessarily translate into a booming ad business. Join our conversation with Senior Director of Podcasts and host, Marcus Johnson, Senior Director of Briefings, Jeremy Goldman, and Principal Analyst, Yory Wurmser. Listen everywhere you find podcasts and watch on YouTube and Spotify.

The news: Google claimed that its AI summaries do not impact referral traffic from search after a Pew Research report showed that AI Overviews cut the number of users who clicked on links from overall search results by nearly half. Our take: Despite Google’s objections, AI Overviews inevitably harm sites that rely on search results and SEO for visibility. But with AI summaries showing no signs of going away, what matters is how brands adapt. Traditional keyword strategies are no longer sufficient in the age of AI.

The news: Google faces another anticompetitive accusation as ad tech company OpenX becomes the latest player to challenge Google’s grip on the digital advertising ecosystem. OpenX filed a lawsuit accusing Google of anticompetitive conduct in the digital ad space, claiming the company’s actions “crippled competitors like OpenX at every turn,” preventing fair competition. Our take: Google’s dominance means advertisers won’t completely cut spending—but OpenX’s lawsuit is building on advertisers’ growing concerns over Google’s control of the ad ecosystem and curiosity about viable alternatives.

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.

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: 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.

On today’s podcast episode, we discuss why Ms. Yaccarino left X, the expectations for its advertising business in the short and long term, and how realistic its chances are of becoming an “everything app”. Join our conversation with Senior Director of Podcasts and host, Marcus Johnson, Vice President and Principal Analyst, Jasmine Enberg, and Analyst, Marisa Jones. Listen everywhere you find podcasts and watch on YouTube and Spotify.

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.

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.

The situation: Amazon and Google, once bound by a symbiotic relationship in which Amazon funneled ad dollars into Google Search and Google indexed Amazon’s pages, are now veering toward open conflict as generative AI (genAI) blurs the lines between ecommerce, advertising, and search. Both companies are determined to own the entire journey from discovery to checkout, and that ambition is unraveling what remains of their former détente. Our take: Amazon and Google are racing to define where and how consumers discover and buy products in the genAI era. If Amazon succeeds in walling off its marketplace data and steering shoppers to its own AI interfaces, the retail landscape could splinter into walled gardens where tech giants cooperate far less. That winner‑takes‑all dynamic might suit the victors, but it risks degrading the overall consumer experience with fewer choices and less transparent pricing. At the same time, it could lead brands and retailers into a margin‑sapping race to the bottom inside whichever closed ecosystem proves most dominant.

The news: Consumer packaged goods (CPG) marketers plan to hop on the AI train and scale up their retail, social, and connected TV (CTV) ad spending, but challenges around audience and data fragmentation remain. Nearly two-thirds (62%) of CPG marketers expect to increase their retail media spending in the second half of 2025, per MediaOcean’s 2025 H2 Market Report, compared with 59% for social platforms and 55% for CTV. Our take: Using creative AI tools like one recently added to YouTube Shorts to resize and retarget content for different social platforms can maximize campaign reach. CPGs are huge advertisers, and when they pivot, they can influence the entire market. Broader marketers should follow their lead not only in spending but by immediately testing AI tools in high-impact internal areas like CTV creative or retail copy optimization.