In 2026, AI will reshape advertiser workflows and behaviors, while rising video consumption will boost CTV and YouTube.

77% of worldwide consumers are comfortable with AI resolving a question or issue, according to an August survey from CSG.

The rise of AI browsers like OpenAI’s Atlas and Perplexity’s Comet is setting up a possible bifurcation of the web. These agent-driven browsers navigate pages, click through tasks, and fetch information on a user’s behalf while traditional browsers anchor the search-centric behaviors most people rely on. The divergence could result in further fragmentation where there are two versions of websites. Brands that structure their content for both—with product metadata, clear semantic HTML, and agent-ready pages focused on specs, summaries, and FAQs—will have a higher chance of visibility across browsers.

The EU’s regulatory environment will hinder investment in AI-generated ads and agentic commerce in 2026. But TikTok Shop’s expansion will be a catalyst for live commerce.

The FDA is introducing agentic AI to help its drug reviewers, investigators, and scientists carry out more complex tasks and develop AI-driven workflows. Its move into agentic AI signals that AI-driven review is becoming a regulatory norm.

Accenture announced it will roll out ChatGPT Enterprise to tens of thousands of employees for internal workflows and client-facing products, per Reuters. The move follows Deloitte adopting a similar expansion—deploying Anthropic’s Claude to more than 470,000 employees across 150 countries. With big consultancies adopting the same AI agent playbook, the risk of AI-driven sameness grows. Companies seeking stricter compliance and tighter risk management might benefit from Accenture’s and Deloitte’s agentic offerings, even as a starting point toward longer-term, more independent agentic adoption.

Amazon blocked several OpenAI-affiliated crawlers from accessing its site, a move first reported by ecommerce analyst Juozas Kaziukėnas. That marks the retailer’s latest attempt to keep third-party agents from encroaching on its turf and endangering ad revenues. Amazon’s insistence on keeping AI agents at bay is the right move for the company for the time being. Adoption is minimal for now, hampered by trust issues, clunky UX, and minimal merchant participation. However, the gates will have to open at some point—and the longer Amazon waits, the more ground it cedes to rivals like Walmart.

Agentic AI company Infinitus is rolling out new tools designed to boost pharma companies’ direct-to-consumer (D2C) platforms. As pharmaceutical companies move to sell drugs directly to patients, the immediate next step is raising awareness and making their online platforms easy to use. It’s not just about selling a medicine—it’s about building relationships, ensuring patients don’t discontinue treatment, and providing a better healthcare experience than what consumers are typically used to.

A year after enterprise software firms began rolling out AI agents, most tools now look and act alike—creating confusion for companies trying to choose the right solution. And because many rely on the same OpenAI or Anthropic models, their offerings are almost indistinguishable, per The Information. Brands should prioritize AI agents that connect across ecosystems, protect data, and scale smarter instead of locking into one vendor’s walled garden. Doing so builds resilience, flexibility, and trust in an increasingly crowded AI market.

As shoppers flock to LLM-powered searches to learn more about products and set shopping budgets, Salesforce data reveals new opportunities for brands looking to have a firm hold on their customers' journeys.

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.