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.

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: 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.

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.

Alphabet posted strong Q2 results, with Search ad revenue up 12% YoY and YouTube ad revenue climbing 13%. But analysts and advertisers are asking tougher questions as the company shifts toward AI-led formats like AI Overviews and Gemini. Google declined to provide clear data on ROI, clickthroughs, or user engagement, fueling concerns about monetization in a no-click world. Licensing costs for LLM training, brand safety, and competition from ChatGPT and Perplexity are all in focus. While YouTube continues to lead in streaming ad growth, the future of Google’s ad engine may hinge on transparency, AI accountability, and performance parity.

Our midyear report revisits the top trends we named in early 2025 to see what’s shaping the market, evolving fast, or fading in the rearview mirror.

Walmart is going all in on AI as it prepares for a future in which more people rely on the technology to work and shop. The company is making strategic AI hires while streamlining its agents to make them easier for shoppers, employees, and partners to use. Agentic tools are both a threat and an opportunity for retailers. Companies need to prepare for a future where tools like ChatGPT and Perplexity make purchases on behalf of shoppers—which will require them either to make their websites more accessible to these assistants, or to build their own AI agents to make those transactions seamless. AI agents are also a useful investment in the current era of uncertainty, given their ability to unlock cost savings at a time when every dollar counts.

The news: Google is looking to sign licensing deals with more publishers, per Bloomberg, to improve its products and address the threat of dwindling AI training resources. It’s launching a pilot project to partner with about 20 national news outlets, which could help ease tensions between Big Tech players and the publishers that are demanding compensation for their content. Our take: Google’s increased effort to license more media content shows its gearing up for a future in which AI-generated summaries dominate search. As this shift occurs, brands will need to focus on generative engine optimization (GEO) to get their content into AI summaries, such as by including concise takeaways that LLMs can surface. Preparing for a world where more premium content is behind paywalls could also include deeper publisher partnerships.

The news: Perplexity is in talks with smartphone manufacturers to make its new Comet browser a default app on smartphones to drive adoption and user engagement, per Reuters. Perplexity CEO Aravind Srinivas said it aims to reach “tens to hundreds of millions” of users in 2026 after a desktop rollout to a “few hundred thousand” testers, a plan that could be aided by expanding Comet access on phones. Our take: While Comet itself is a browser, its integrations with Perplexity’s AI could streamline access to mobile AI search tools, changing mobile search behavior and forcing marketers to rethink traditional search marketing practices. Getting Comet onto phones could also supercharge Perplexity’s data on user behavior and boost its ability to improve its AI search tools.

AI is upending every aspect of marketing, from neuro-contextual ads that read emotions to autonomous shopping agents that make purchasing decisions. As tech giants consolidate control of the sector, six pivotal trends are reshaping advertising, search, and commerce.

The news: The vast majority of referral traffic from AI sources comes from desktop users while mobile traffic lingers in single-digit percentages. 94% of ChatGPT referral traffic is from desktop users, per BrightEdge’s The Open Frontier of Mobile AI Search report. Google Gemini’s traffic is 94% desktop versus 5% mobile, while Perplexity’s is 96% desktop and just 3% mobile. Our take: As search engines increasingly reduce organic visibility and prioritize zero-click searches, brands and publishers need to develop unique content strategies for different devices. Providing a mix of long-form, in-depth posts for desktop users along with snappy headlines and skimmable content for those on mobile could help achieve the best of both worlds

The news: Google Chrome could soon face intensified competition from OpenAI and Perplexity. On Wednesday, Perplexity launched its long-awaited agentic AI browser, Comet. It’s currently exclusive to subscribers on its $200-per-month Max plan, but other users can sign up on a waitlist. OpenAI is expected to launch its own browser in the coming weeks, per Reuters, bringing more AI tools to its over 400 million weekly ChatGPT users. As AI search tools continue to expand, companies should plan their generative engine optimization (GEO) strategies now by ensuring content can be summarized by chatbots and that copy in graphics is clear and accessible to AI tools.

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: 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: Google’s search dominance is slipping as AI innovations threaten its ad business. Its global web visits declined 1% YoY in April, according to Similarweb data published by AdWeek, compared with 182% growth for OpenAI’s ChatGPT and 181% for Perplexity. Google’s searches on Safari also dropped for the first time ever in April. In March, about 77% of all Google searches that triggered an AI Overview garnered zero clicks, which could dissuade advertisers from spending on the platform. Our take: As AI transforms search and keywords become less important, publishers and brands may need to rethink strategies for how their content is discovered and how they attract search users. AI-optimized content will likely become the next battleground for visibility and performance.

The New York Times will license its journalism to Amazon: The deal supports AI training while signaling a shift toward paid data partnerships.

Google is monetizing AI search interfaces aggressively: But users, advertisers, and publishers remain skeptical of trust, data, and fairness.

GenAI search is gaining traction, but not all consumers are seeking out the conversational experiences that will eventually disrupt the search ad market.

Search ad spending will not be immune to the economic upheaval caused by the US tariff regime. But it will be less susceptible than other spending areas.