As most of you likely already know, the era of optional AI adoption is over. The recent announcements from Google, Commerce/BigCommerce, adMarketplace, and others are not incremental feature updates — they represent structural changes to how paid media, e-commerce, and revenue intelligence operate. The question is no longer whether to adopt AI-driven marketing tools, but how fast your organization can absorb the operational and strategic changes they demand.
The most consequential shift is Google’s forced migration of Dynamic Search Ads to AI Max by September 2026. This is not a feature toggle — it is Google removing manual campaign control from the equation for hundreds of thousands of advertisers. Marketing teams that have built workflows, reporting structures, and agency relationships around DSA will need to retrain, restructure, and re-evaluate performance benchmarks. Google’s own data shows a 7% average lift in conversions using the full AI Max feature suite, but that number masks significant variance: brands with strong first-party data and well-structured feeds will benefit; those with thin data layers or fragmented tech stacks will struggle. The real cost is not the migration itself — it is the organizational readiness gap.
The strategic decisions CMOs need to make now:
- Audit your Google Ads campaigns for DSA dependency and begin voluntary AI Max migration before September to maintain setup control.
- Treat product data and feed quality as a marketing priority, not an ops task — agentic commerce surfaces reward structured, enriched data.
- Pressure-test your attribution model against conversational commerce scenarios.
- Evaluate whether your current martech stack can support AI-driven workflows or whether consolidation is needed. The vendors announcing today are betting you will not have time to evaluate carefully — do not let urgency substitute for strategy.
Here’s the News:
Google: AI Max Turns 1 with New Ways to Steer Performance and Expansion to More Advertisers — Google Blog, April 30, 2026. Google marked the one-year anniversary of AI Max for Search campaigns by announcing a significant expansion of the platform. AI Max — now the fastest-growing AI-powered Search ads product in Google’s portfolio — is being extended to Shopping campaigns and travel-specific ad formats, both currently in closed beta. The headline new feature is AI Brief, powered by Gemini, which allows advertisers to guide AI Max using natural language rather than manual toggles and data uploads. Advertisers can set messaging guidelines (what ads should and should not say), matching guidelines (which search queries to target or avoid), and audience guidelines (who to reach and with what message). Google also announced text disclaimers for Final URL Expansion, enabling regulated-industry advertisers to maintain mandatory ad copy compliance while leveraging AI-driven landing page selection. The company reported that AI Max delivers an average of 7% more conversions or conversion value at a similar CPA/ROAS when using the full feature suite compared to search term matching alone.
Google Touts Its AI Ad Tech Adoption and New AI Max Features — AdExchanger, April 30, 2026. In a press briefing ahead of the AI Max anniversary, Google revealed that Performance Max now has four million advertiser accounts on the platform — up from one million a year ago — and all four million are eligible to serve AI chatbot ads within Google’s AI Overviews and AI Mode. Google’s VP of product strategy for search ads and commerce, Brendon Kraham, confirmed that the company is actively migrating advertisers away from manual control campaigns toward AI-automated systems, stating: “The future is definitely more automated, no doubt about that.” The briefing also introduced AI Brief, a conversational campaign setup tool, and confirmed that Dynamic Search Ads, automatically created assets, and campaign-level broad match settings will all be automatically upgraded to AI Max starting in September 2026. Google Shopping and travel-related search campaigns are slated for eventual absorption into the AI bidder’s system as well.
Commerce Introduces New Product Innovations Across Storefronts, B2B, Payments and AI-Driven Commerce at Commerce Live 2026 — GlobeNewswire, April 30, 2026. Commerce (Nasdaq: CMRC), parent company of BigCommerce, Feedonomics, and Makeswift, unveiled a broad set of platform innovations at its Commerce Live 2026 event in Austin, Texas. The announcements spanned core platform enhancements (including checkout load time reductions of one full second, multi-language capabilities, and advanced promotions management), B2B capabilities (AI-driven purchase order automation, cascading price lists, and event-driven webhooks), and a new suite of agentic commerce capabilities. The agentic commerce features include enriched, agent-ready product data through Feedonomics; distribution across AI-driven discovery surfaces including ChatGPT, Gemini, Microsoft Copilot, Perplexity, PayPal, and Stripe; agent-enabled checkout experiences; and an AI-powered merchant assistant called BigCommerce Companion. Feedonomics Surface also expanded channel support to Microsoft Ads, TikTok, and Pinterest. Early adopters using Surface saw approximately 24 percentage points greater year-over-year GMV growth in November 2025 compared to peers.
AdMarketplace Is Piloting Performance Ads in AI Chat — AdExchanger, April 28–30, 2026. adMarketplace announced the beta launch of AI Discover, its ad product for inserting sponsored placements into AI chat experiences. The product is an expansion of a six-month alpha program with Aria, the Opera browser’s native AI assistant, during which adMarketplace ran more than 2 million sponsored placements across roughly 700,000 AI queries. AI Discover uses two proprietary systems: Commercial Intent Vector, which scans chat conversations for commercially relevant topics and converts them into ad targeting signals, and Arena, an ad-decisioning engine that matches those signals against an index of more than 200 million product ads. The beta will run from June through December in the US, UK, Germany, and France with roughly 10 advertisers and five LLM partners. All inventory runs on a cost-per-click model. Chief Product Officer Sam Cox noted a dramatic compression of the purchase funnel: in one documented case, a single AI chat session resulted in 14 sequential purchases. “We’re seeing a compression of the funnel,” Cox said, “and that’s a huge change in user behavior.”
eclicktech Attends Google Cloud Next 2026 in Las Vegas, Showcasing Agentic AI Applications for Global Marketing — PR Newswire, April 30, 2026. eclicktech, a marketing technology company specializing in global growth solutions, attended Google Cloud Next 2026 in Las Vegas to showcase its agentic AI applications designed for global marketing use cases. The company demonstrated how its platform leverages agentic AI to automate and optimize cross-border marketing workflows, positioning itself as a solution for brands seeking to scale internationally with AI-driven campaign management. The appearance at Google Cloud Next underscores the growing ecosystem of martech vendors building on top of Google’s AI infrastructure to deliver autonomous marketing capabilities.
Rakuten and Impact.com Forge a New Alliance That Resets the Affiliate Industry — AdExchanger, April 28–30, 2026. In a landmark strategic partnership, Rakuten and Impact.com — the two longest-standing names in affiliate and partnership marketing — announced they will stop competing and instead collaborate. Under the deal, Rakuten will exit the software and dashboard side of its affiliate business, transitioning thousands of merchants and publishers to Impact’s platform, which becomes the exclusive technology provider for Rakuten’s commerce and affiliate partnership management. Rakuten will focus on its owned assets (Rakuten Rewards) and managed service business. Impact CEO David Yovanno framed the alliance as a response to advertiser demand for better outcomes over more fragmentation, and said the combined entity is now equipped to compete with Google, Amazon, and Meta at scale. Rakuten International CEO Amit Patel confirmed Rakuten will continue to invest in AI, measurement, and automation within its retained business lines.
Actively Raises $45M Series B to Scale Intelligence-Led Revenue Platform — MarTech Cube, April 30, 2026. Actively, a go-to-market intelligence platform, announced a $45 million Series B funding round to expand its AI-driven revenue platform. The company builds a go-to-market platform where AI agents continuously move through the revenue cycle — identifying opportunities, prioritizing accounts, and automating outreach workflows. The funding will be used to build new products, scale teams, and accelerate enterprise adoption. The raise brings Actively’s total funding to $68 million and signals continued investor confidence in intelligence-led revenue platforms that embed AI agents directly into sales and marketing workflows rather than layering AI on top of existing processes.
