Affiliate marketing publishers benefited from jittery consumers buying to get ahead of tariff-induced price increases. But consumers’ increasing reliance on genAI for shopping help has alarmed affiliate publishers and advertisers.

AI is rewriting the rules of digital media, advertising, and commerce at breakneck speed. Here’s what players in the digital realm can do to stay relevant.

OpenAI revised its projected cash burn through 2029 to $115 billion—about 230% higher than earlier estimates. This alteration demonstrates how capital-intensive model training and deployment have become and how far those costs are beyond what traditional startup economics can sustain. These financial forecasts illustrate a ballooning cash burn matched by surging investments and rising revenue expectations. OpenAI might need to explore tactics like affiliate links or in-chat advertising for monetization and added incentives and premium features to convert free users into paying ones.

Our exclusive data explores how social commerce and AI are reshaping the beauty path to purchase for US consumers.

The news: Apple will reportedly launch an AI-enabled web search tool powered by Google’s Gemini, potentially accelerating long-awaited software improvements and helping Apple enter the AI search race, per Bloomberg. The “answer engine” would be integrated with Siri and could help Apple compete with OpenAI and Perplexity. The feature, internally called World Knowledge Answers, will aggregate information from across the web into AI Overviews-esque summaries. It may eventually be added to Safari and Spotlight. Our take: Apple’s pivot toward external AI partnerships highlights how unready it is to compete head-to-head in foundational AI or search. While a Gemini integration could improve Siri and add powerful search capabilities, it could threaten Apple’s core advantage: total control over the user experience.

The news: Use of AI search tools is surging, which could soon spell trouble for Google’s market dominance. The share of consumers using of AI search tools on a daily basis doubled to 29% in August, per HigherVisibility’s 2025 How People Search Today report, up from 14% in February. Meanwhile, Google’s share of general information queries fell from 73% to 67%. Our take: Brands and marketers need to tailor their campaigns and strategies based on user intent. Those looking to attract new shoppers should invest in social media and AI search placements, while those focused on driving traffic for services or capturing high-intent buyers should prioritize Google, especially for initial discovery and location-based queries.

Voice assistants will add nearly 30 million US users between 2022 and 2029, fueled by genAI, demographic shifts, and new hardware. Key adoption trends, platform battles, and marketing opportunities are shaping the next era of voice technology.

If social media is a digital shopping mall, genAI assistants are personal shoppers. As AI gains ground, it could disrupt established social shopping behaviors.

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 news: OpenAI CEO Sam Altman is warning of a growing AI investment bubble. “Are we in a phase where investors are overexcited about AI? My opinion is yes,” Altman said during a dinner with a group of reporters, per The Verge. Still, he emphasized that AI remains “the most important thing to happen in a very long time.” Our take: Altman’s warning about an AI bubble applies to marketers too. The temptation to chase every shiny new AI tool is real, but teams should develop an AI experimentation roadmap with clear outcomes to avoid wasting resources. Pushing vendors for case studies can help maximize budgets.

AI shopping assistants are reshaping product discovery and threatening retail media’s search-driven model. RMNs and advertisers need to adjust strategies to protect their market position and seize the opportunity to turn disruption into growth.

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: Despite consumers’ rising use of AI agents for search, shopping, and discovery, brands are falling behind on generative engine optimization (GEO) strategies. 47% of brands have no deliberate GEO strategy or have no idea if they appear at all in AI agent responses, per a new report from Cordial. Another 47% have only just begun optimizing content for AI discovery. Our take: To boost visibility, brands should optimize for conversational context and create structured, machine-readable content that AI can index, like clear website FAQs, TL;DR summaries, and detailed product specs. Expanding presence across social platforms that feed AI training models, such as Reddit, Quora, and YouTube, can also improve chances of surfacing in AI-generated responses.

The news: GenAI models can easily be influenced to perpetuate false health facts when they’re fed made-up medical terms and information, per a new Mount Sinai research published in Nature last week. Our take: As more consumers rely on open GPT models for health answers, misinformation and intentional disinformation pose growing risks to both personal and public health. There’s an opportunity for healthcare and pharma marketers to step up science-based AI marketing and communications, such as Pfizer’s custom genAI medical query tool Health Answers that sources answers from medical journals and peer-reviewed research.

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: 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: 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.

US digital ad spending growth will dip below 10% YoY in 2025, but retail media, social networks, and CTV will still perform above the overall average.

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.

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.