Historically, search engines and social platforms acted as gateways, linking to other sites for consumers to continue reading, researching, or shopping. Now, those platforms are answering queries directly within their own ecosystems, resulting in a “zero-click search.”

From AI agents changing customer expectations to banking licenses no longer differentiating financial institutions (FIs) from digital competitors, this report reveals the trends FIs must understand to maintain a competitive edge in H2 2025.

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: Perplexity added a standalone subscription tier for its Comet agentic AI browser that will fund a $42.5 million publisher revenue-sharing program. Comet Plus costs $5 per month and gives users access to “premium content from a group of trusted publishers and journalists.” The browser is included in Perplexity Pro and Max subscriptions. Our take: Brands should actively monitor how their content is used across AI platforms and consider usage-based deals for fair compensation, especially if content is regularly surfaced by AI tools. They should also examine the real revenue potential of partnerships like Comet Plus and scrutinize audience size, payout structures, and long-term sustainability before committing.

Efficiency, ROI, and AI integration are now driving B2B martech buying decisions. Marketers are consolidating stacks, prioritizing automation, and investing in tools that deliver measurable performance gains.

Retailers have built lucrative revenue streams from retail media networks (RMNs), leveraging on-site ad inventory and first-party transaction data. As the potential grows for consumers to shop through AI agents instead of retailer sites or apps, those data streams and ad surfaces are at risk.

The strategy: Agentic AI could redefine how banks detect and prevent financial crime, according to a recent McKinsey report. Our take: Banks are just beginning to pilot agentic AI and explore use cases, but they should prioritize using it in financial crime prevention. This technology will become essential as traditional methods struggle to keep up with increasingly sophisticated criminal tactics: Despite allocating significant resources to KYC and AML efforts, the financial industry only detects about 2% of global financial crime, per Interpol data.

The news: OpenAI’s GPT-5 could be the start of ChatGPT becoming a transaction-driven super app that monetizes user intent, not attention. GPT-5’s router—which analyzes queries and decides how hard to “think” based on complexity—lets OpenAI invest more resources during high-intent moments like “compare hiking boots under $200” or “best smart TVs for co-op gaming.” Prioritizing queries with high commercial value could help OpenAI monetize users not through ads but via affiliate or take-rate revenues, per SemiAnalysis. Partnerships with Shopify and others suggest that monetization stack is already on the way. Our take: A full-service ChatGPT that’s intuitive enough to guide full shopping journeys inside a chatbot while keeping backend costs minimal could rewrite the AI platform’s business model. Brands should be working to optimize for AI-native commerce and integrate with agentic tools.

The news: We recently covered Wells Fargo’s early entrance into the agentic AI realm. And we recommended that other financial institutions (FIs) explore how they could implement it, too—regardless of size. Now a smaller FI, Michigan-based Family Financial Credit Union, has announced its partnership with fintech start-up Algebrik AI to implement a new digital lending suite, per a press release. Why this matters: Family Financial Credit Union will be one of the first smaller FIs to go public with its agentic AI offering. If it proves successful and customers like the experience—which could in turn draw more business to its loan products—it could inspire other institutions to pursue similar partnerships and offerings. We expect many more FIs of all sizes to announce agentic AI pilots in the near future.

The news: Wells Fargo is partnering with Google Cloud to equip the bank’s 215,000 employees with advanced generative and agentic AI tools, per American Banker. The phased implementation will span the next few months. Why this matters: If Wells Fargo sees greater efficiency, a better customer experience, and savings from the wide AI rollout, it could set an industry trend. Competitors should at least begin exploring how they can implement agentic AI in their own operations. And Google Cloud’s involvement serves as a reminder that these solutions don’t need to be developed internally. Third-party partnerships may be especially valuable for smaller financial institutions that want to catch up on AI innovation.

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 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.

Consumer spending will be restrained during the 2025 holiday season as shoppers remain cautious amid ongoing economic uncertainty. That means retail and ecommerce will see the slowest growth since we started tracking the metrics.

The news: Z.ai’s new open-source GLM-4.5 model is undercutting DeepSeek and US rivals in cost and efficiency and intensifying global AI competition. Our take: For marketers, open-source tools like Z.ai offer affordable alternatives to costly AI platforms, levelling the playing field for smaller agencies looking to compete. But Z.ai (formerly Zhipu) is on the US Entity List due to its Beijing ties after OpenAI flagged its rapid progress. With this in mind, companies piloting open-source options should do so cautiously and consult with compliance teams before integrating.

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: Messaging ads are gaining traction as a key opportunity to reach customers at critical moments after Meta debuted ads in WhatsApp. In an exclusive conversation with EMARKETER, Grant Parker, president of omnichannel ad platform Innnovid, offered his take on the future of the messaging medium. Our take: The path forward for messaging ads relies on how well the format integrates with the user experience rather than interrupting it—necessitating that advertisers invest in this opportunity while accounting for consumer attitudes.

Retail media search ad spending propelled retail media ad spending to its current size. Now, more retail media networks are closing in on search feature parity, and advertisers are looking for ways to approach the critical channel.

The news: Shopify will not allow agents and other bots to purchase on users’ behalf without “final human review,” the company said in an update to the code used by merchants to operate their online storefronts. Our take: While AI agents aren’t yet reliable enough to be given free reign over purchase decisions, companies have to be prepared for a future where they soon will be.

Direct-to-consumer (D2C) ecommerce is evolving, driven by Gen Z’s shopping habits and the rise of powerful AI tools.

At Cannes Lions 2025, commerce media partnerships once again reigned supreme. Once the domain of digital shelf tactics and retail data, commerce media is now reshaping how brands show up across social platforms, connected TV (CTV), and in-store displays. This year’s festival offered a glimpse into a more integrated, AI-driven future—one where conversational ads, programmatic pipes, and real-world touchpoints blur the lines between media and purchase.