Agentic retail has moved fast. Twelve months ago, most brands treated it as an experiment worth watching. Today the question is no longer whether AI agents will reshape how consumers discover and buy, but how quickly commerce infrastructure can catch up.

For brand marketers and advertisers weighing where to place their bets, the case is neither clearly bullish nor clearly cautious. Its strengths, weaknesses, opportunities, and threats each pull in a different direction, and the investment call depends on weighing all four.

Strengths: Collapsing the funnel

Agentic retail's clearest strength right now is compression. It turns what used to be a multi-step consumer journey into one continuous experience. "The biggest strength of agentic retail today is its ability to collapse discovery, evaluation, and purchase into a single, continuous experience," said David MacDonald, executive vice president and head of retail and commerce at Razorfish. "As AI agents move from surfacing options to actively comparing and acting on behalf of consumers, they are reducing friction and reshaping how decisions get made."

For brand marketers, that compression matters. Fewer handoffs between touchpoints means fewer moments where a consumer can be lost to a competitor. Brands that show up cleanly and consistently at the point where an agent is making a recommendation are shortcutting the traditional awareness-to-conversion arc. That is a structural advantage, not just a tactical one, and it is available now to brands willing to prepare for it.

Weaknesses: The infrastructure gap is real

The promise of agentic commerce runs directly into the operational reality of most marketing organizations. Most brands are not structurally ready for it. "Agentic commerce requires unified data, clear decisioning frameworks, and connected experiences, yet many brands still operate in silos across media, commerce, and CRM," said Ryan Warren, chief CRM officer at Razorfish.

The gap is not just technical. It is organizational. Brands that have historically managed media, retail, and customer experience as separate functions will find that AI agents expose those seams quickly and unfavorably. "There is also a tendency to treat this as a channel experiment," Warren noted, "when in reality it exposes deeper gaps in product data, identity, and customer experience that AI agents will surface quickly." Investing in agentic retail without first addressing those foundations is likely to accelerate existing problems rather than solve them.

Opportunities: Becoming machine-readable

The near-term opportunity sounds deceptively simple: make your brand easier for AI agents to understand, surface, and recommend. "The near-term opportunity is to become more machine-readable and machine-recommendable," MacDonald said. "As agents increasingly influence what gets considered and purchased, brands that structure their data, content, and value propositions clearly will have an advantage in how they are surfaced."

That advantage compounds over time. As agentic systems mature, the brands that have invested in clean product data, consistent signals, and structured content will be disproportionately represented in agent-driven recommendations. The brands that haven't will find themselves increasingly invisible in purchase journeys they never knew were happening. Longer term, MacDonald sees the opportunity extending further: rethinking commerce as a connected system where media, retail, loyalty, and service are optimized together rather than managed as separate functions. That is a significant architectural shift, but the brands starting to build toward it now will have a meaningful head start.

Threats: A shift in customer power

The most important threat agentic retail poses to marketers is not a competitive one. It is structural. As consumers delegate more purchase decisions to AI agents, the brand's traditional relationship with the customer becomes mediated by a system it does not control and may not fully understand. "Agentic retail is ultimately a shift in customer power," MacDonald said. "As consumers delegate more decisions to AI, brands will win by being easier to trust, easier to interpret, and easier to transact with across both human and machine-led journeys."

That framing reorients the threat. The risk is not that a competitor will outspend you in agentic channels. The risk is that your brand becomes harder for AI systems to interpret and recommend than a competitor that has done the infrastructure work. Brands that over-index on interface and underinvest in foundation are particularly exposed. As Warren put it, the leaders emerging from this period are "investing in clean product data, connected identity, and unified customer signals" while "designing for flexibility" and avoiding overcommitment to any single platform.

The bottom line

A year ago, agentic retail felt speculative. Today, as MacDonald observed, "the conversation has moved from 'if' to 'how fast.'" For brand marketers, the practical implication is that waiting for the landscape to clarify before investing is itself a choice with consequences. The brands building the right foundations now, cleaner data, unified identity, structured content, are not just preparing for agentic retail. They are making themselves more competitive across every commerce environment, agentic or otherwise.

This was originally featured in the Retail Daily newsletter. For more retail insights, statistics, and trends, subscribe here.