The allure is undeniable: imagine an intelligent digital assistant that understands your style, knows your budget, and handles all your online shopping needs with seamless efficiency. For years, the vision of AI shopping agents has been a staple of futuristic predictions, and as we approach the 2025 holiday season, that vision seems closer than ever. Major tech players like OpenAI, Google, and Amazon, alongside e-commerce giants, are actively building the infrastructure for a future where AI agents could become your personal, tireless shoppers.
The Dawn of Agentic Shopping: Promises and Early Steps
We’re already seeing the first glimmers of this AI-powered shopping future. Have you ever asked ChatGPT to find a specific item on Etsy? Soon, you might be able to complete the purchase directly within the chat interface, thanks to features like ‘Instant Checkout.’ This is just one example of the burgeoning partnerships between AI developers and retail platforms, designed to encourage users to delegate more of their online browsing and purchasing tasks to AI tools. The ultimate goal? To usher in an era of ‘agentic shopping,’ where AI agents act on your behalf to fulfill your retail desires.
The Holiday Reality: Why Your AI Shopper Isn’t Ready Yet
Despite the exciting developments, don’t expect to fully offload your holiday gift-buying to an AI agent this year. Executives from seven leading tech and e-commerce companies, speaking anonymously to WIRED, reveal that significant hurdles remain. The primary challenges revolve around limiting costly errors made by these nascent agents and determining the optimal way to share vast amounts of product data and chat histories, which are crucial for an agent’s success. Consequently, the AI shopping features currently available to consumers require substantial user input, operate at a glacial pace, or are limited to a select range of products.
“I haven’t yet felt a super magical agentic experience in commerce,” admits Talia Goldberg, a partner at venture capital firm Bessemer, which has invested in innovative AI companies. “There are big questions that have to be solved around a true functional experience.” This sentiment is echoed across the industry, suggesting that while the foundation is being laid, a truly seamless and reliable agentic shopping experience is still some way off.
The Market Potential: A Trillion-Dollar Future?
The long-term outlook for agentic shopping is incredibly optimistic. Recent surveys indicate a strong consumer interest: 60 percent of US consumers plan to use AI for shopping assistance, and a notable 20 percent are willing to let an AI agent handle their everyday purchases. McKinsey projects that agentic shopping could generate up to a staggering $1 trillion in sales in the US alone by 2030. This massive potential is driving the intense competition and strategic alliances we’re witnessing today.
Pioneering Partnerships: Who’s Leading the Charge?
To bring this future to fruition, significant collaborations are underway. OpenAI has partnered with Walmart, aiming to enable ChatGPT users to purchase Walmart products directly within the chat. Both OpenAI and Perplexity have forged alliances with PayPal and Shopify, a platform that powers countless online stores. Google, meanwhile, has unveiled AI agents capable of automatically filling out online checkout forms and even contacting stores to verify pricing.
Early prototypes are already demonstrating promise. Expedia’s ChatGPT integration, for instance, offers real-time flight and hotel pricing data in response to user queries. While users still need to finalize bookings manually, the feature has already exceeded Expedia’s sales expectations. “That means there’s something in these tools that works,” says Clayton Nelson, a vice president overseeing Expedia’s strategic alliances with AI giants. This success indicates a tangible benefit to integrating AI into the customer journey, even in its current, less autonomous state.
Building Trust: Overcoming Consumer Hesitation
The landscape of social commerce, which involves shopping through platforms like TikTok and Instagram, has faced challenges in the US, partly due to persistent consumer distrust in big tech companies and large retailers. To prevent AI shopping initiatives from encountering similar resistance, crucial efforts are being made to build trust. Payment processors like Visa and software startups such as New Generation, which assists retailers in developing or partnering with chatbots, are working to broker technical agreements with retail partners. “We do think that a service provider like us will be faster to earn the trust of retailers, which is pretty important,” states Adam Behrens, CEO of New Generation.
The Retailer’s Stake: Data, Profits, and Customer Relationships
Retailers are keen to participate in the AI shopping revolution because chatbots have already proven to be invaluable tools for consumers researching and validating their purchase decisions. These new partnerships have the potential to ensure that chatbots not only deliver accurate product information but also operate more efficiently, consuming fewer computing resources when processing online orders. The ultimate beneficiaries, it is hoped, will be both the AI companies and the retailers, leading to increased profits for all involved, provided they can reach mutually beneficial agreements.
Amazon’s Scrutiny: A Harsh Reality Check
Even titans of the industry are acknowledging the current limitations. Amazon CEO Andy Jassy recently offered a candid critique of how agentic shopping functions on other platforms, stating, “The customer experience is not good.” He elaborated, “There’s no personalization. There’s no shopping history. The delivery estimates are frequently wrong. The prices are often wrong. We have got to find a way to make the customer experience better and have the right exchange of value.”
To illustrate the point, a simple task like adding eggs to an Amazon cart took the Opera browser’s AI agent a lengthy 45 seconds in a recent WIRED test. Manually performing the same action on Amazon’s mobile app took only a third of that time. Opera, for its part, is actively engaging potential partners in workshops to refine security and design choices. “If our agent doesn’t work with the biggest websites people go to, it will be a suboptimal experience,” says Per Wetterdal, an executive vice president leading Opera’s commercial partnerships. “No one benefits if [a purchase] is ending up at the wrong place or in the wrong quantity.”
The Negotiation Table: Money, Data, and Trust
As is typical in the fast-paced tech world, the ongoing discussions surrounding agentic shopping are deeply rooted in financial considerations and data exchange. The monetary aspect of agentic shopping could be relatively straightforward, with AI companies like Opera seeking a commission on sales facilitated by their agents. “If we do something that adds incrementality, it’s very fair to be compensated for that,” Wetterdal explains. OpenAI is already demonstrating a potential model by charging partners like Etsy a “small fee” for Instant Checkout transactions.
However, data sharing presents a far more complex puzzle. Retailers jealously guard their pricing, availability, and customer data, viewing them as critical competitive advantages. AI companies, on the other hand, aim to preserve conversation histories to maintain the intimate, personalized feel that chatbots can offer. The challenge lies in the fact that effective chatbots require real-time data, while retail brands desire greater context to cultivate deeper relationships with shoppers.
OpenAI’s current app features provide partners like Expedia with a user’s IP address and relevant chat queries, as indicated on a ChatGPT permission screen. Nelson of Expedia acknowledges the usefulness of this initial data trade but expresses a desire for more comprehensive information, contingent on user consent. “I want to know the full conversation,” he states. “I know they’re looking for a hotel room in Las Vegas right now for two guests, but I want to know, are the guests friends? Have they traveled before? Do they have other things that they like?” This highlights the ongoing tension between data privacy and the pursuit of enhanced personalization and service.
Legal Battles and Evolving Strategies
The complexities of data and functionality have even led to legal disputes. This month, Amazon filed a lawsuit against Perplexity, alleging that its AI agents made purchases on behalf of users in ways that allegedly harmed Amazon’s businesses, including its advertising and Prime subscription sales. Perplexity has vowed to contest the lawsuit.
Meanwhile, Amazon is actively developing its own shopping agent. Its ‘Buy for Me’ feature is reportedly being tested to leverage agentic AI for completing purchases on other retailers’ websites when Amazon itself lacks the desired item. This tool automatically adds items to a cart, allowing users to check out using their Amazon payment details. To protect third-party stores and potentially their own data, these external sites do not receive shoppers’ actual email addresses, and they can request Amazon to block its agents from accessing their platforms.
The Unseen Hurdles: The Quest for a ‘Solid Solution’
Currently, AI companies are largely tight-lipped about the performance of their agents. An executive overseeing online initiatives for a major California-based clothing retailer expressed eagerness to finalize deals, citing the significant traffic driven by chatbots. However, they also feel that the current opportunities are underdeveloped. “Up to today, no one has a solid solution,” the executive, who requested anonymity due to employer restrictions, admitted. “Everyone is just making marketing announcements.”
Some smaller AI companies are opting to hold off on developing agent shopping capabilities for now. Archit Karandikar, CEO of CoInvent AI, which develops the travel planning chatbot Airial, notes that generating useful recommendations with AI is a considerable challenge in itself. Adding agentic purchasing functionality, he believes, would be an overreach given the current technological limitations. “You can’t be spending someone’s money without being sure you’re making the right transactions,” Karandikar asserts. Consequently, Airial directs users to booking websites and earns a commission on completed purchases.
The Verdict for the Holidays: Human Oversight Remains Key
Expedia’s Nelson sums up the sentiment succinctly: “My goodness, no one wants to mess up their vacation for their entire family because a bot went left instead of right, or didn’t follow the specific prompt that was given. It’s up to us and our partner to make sure that we never leave travelers astray. And so that’s the big thing that’s holding us back on fully agentic booking experiences.”
This holiday season, while you might leverage chatbots to help you discover gifts, add them to your virtual cart, and perhaps even utilize instant checkout features, remember that human oversight will remain paramount. The AI shopping agents are still learning, and for now, you’ll be the one holding the reins. Perhaps next year, you can truly pass the buck – and the gift-giving responsibility – to your digital assistants.