AI shopping assistants are boosting discovery and personalization, but trust issues and fulfillment challenges could limit their impact on channel migration.

Gen Zers and millennials will lead the charge in shopping with AI agents, but not without guardrails. Nearly half of Gen Zers (47%) and millennials (48%) say they are at least somewhat likely to let AI agents buy things for them, per a YouGov survey. Among likely AI agent adopters, 53% would require approval before letting AI buy anything under $100. For brands, deploying responsible AI agents is key. That means constantly monitoring customer-facing products for hallucinations, keeping humans in the loop to establish accountability and accuracy, and ensuring customers are getting the experiences they want.

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.

The news: Citi Wealth has launched AI-driven tools for employees aimed at improving client communication, per a press release. Our take: AI platforms will deliver the greatest impact when banks shift them from passive information repositories to active drivers of business growth. This will require integrating the tools with other systems. For example, an AI assistant could automatically draft personalized client emails in response to a market event identified by Advisor Insights. A human advisor could then review and send the emails. This level of integration would increase the speed of personalized outreach, giving banks a competitive edge in maintaining and growing client relationships.

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

The news: Cohere launched Command A Reasoning, its first enterprise-tuned large language model (LLM). Designed for secure environments, the model handles agentic customer service, research, and automation tasks at scale. Its big-business focus is rooted in its ability to integrate with existing tools, support for on-premises deployment, and strict data controls. Our take: Enterprise AI is shifting from optional to operational. Vendors that deliver reliability, guardrails, and measurable value—like Command A Reasoning and Agentforce—will win long-term adoption over general-purpose models built for show, not scale.

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: Cyata launched a platform that detects, authenticates, and governs “agentic identities” as adoption of autonomous AI agents is exploding—96% of IT leaders will increase agent use in 2025, Cloudera reports. Digital agents integrating into the workforce pose new risks—ones traditional identity and access management (IAM) tools are not equipped to handle, per VentureBeat. Our take: Managing mixed human and agentic workers won’t be optional for long—it will become a baseline requirement as AI agents move from edge cases to everyday tools. Companies that delay could risk operational blind spots, compliance gaps, and uncontrolled AI autonomy.

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.

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.

While consumers are always looking for more efficient ways to shop and engage with brands, they aren't always ready to trade that efficiency for relinquished control. Marketers seeking to enhance engagement with AI have an evolving tightrope to walk.

Our take: OpenAI’s first-mover advantage is under threat from all sides—vertically from specialized AI agents, horizontally from rival chatbots, and internally from talent wars and Microsoft. The news: OpenAI’s ChatGPT has rapidly become a mainstream AI tool, with new data showing that 34% of US adults have now used it—almost double the 2023 figures, per Pew Research Center. For CMOs and CTOs, this means betting on ChatGPT’s current dominance while preparing for a fragmented future where no single platform reigns supreme. Finding the right AI solutions for specific use cases is a smarter play than betting the farm on an all-in-one solutions provider.

The news: Generative AI (genAI) agents aren’t above sabotage—and most would resort to blackmail or corporate espionage if threatened, per Anthropic’s Agent Misalignment research. When faced with replacement or misaligned goals, Anthropic’s Claude 4 Opus and Google’s Gemini 2.5 Flash responded with blackmail threats to those employees 96% of the time despite ethical restraints in their training. OpenAI’s GPT-4.1, Grok 3 Beta, and DeepSeek-R1 followed suit about 80% of the time. Our take: Anthropic’s research shows that safeguards can’t prevent agents from running off the rails, but continued monitoring will keep those instances to a minimum. Limit agent access to critical systems, review its output during customer contact, and implement failsafes in case deviant patterns emerge.

The insight: Amazon is trying to figure out how it can benefit from the AI agentic boom without giving shopping agents unfettered access to its site, according to a report by The Information. Our take: While agentic commerce is far from the norm for the time being, retailers need to be prepared. That’s especially true for companies with retail media businesses, given the potential for AI agents to upend their ability to monetize their sites.

The news: Walmart rolled out Sparky, its generative AI (genAI) assistant, to all Walmart app users this week—a preliminary step that puts it closer to achieving its agentic ambitions. Our take: By broadening Sparky’s capabilities, Walmart is trying to position itself not only as a shopping destination, but also as a place where consumers can go when they need everyday life advice or information—such as how to fix a leaky faucet or help with event planning. Whether the retailer succeeds will depend on how well Sparky works, and whether it can convince shoppers to overcome their current skepticism of AI tools.

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

Retailers and brands are racing to deploy AI across the shopping journey, but trust, quality, and execution will define who wins.

Agentic AI gains momentum: As Amazon, Walmart, eBay and others experiment with AI agents, retailers need to to figure out how to market to bots in addition to humans.