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EXCLUSIVE: Accenture discusses how AI, inflation impact holiday spend

Kelly Askew
Kelly Askew, Accenture global retail industry lead.

Kelly Askew, Accenture global retail industry lead, says shoppers are accounting for the economy and using artificial intelligence this holiday season.

Chain Store Age recently spoke with Askew about what Accenture data reveals regarding consumer attitudes toward inflation and next-gen AI, and how they will affect the upcoming holiday shopping season.

How is inflation affecting holiday spending plans? 

Shoppers are recalibrating, not retreating. They haven't given up on the season, but they have become more deliberate about where spending creates the most value. Eighty percent of consumers surveyed by Accenture plan to spend the same or more this season, down from 87% last year. 

What's particularly telling is why people are spending more. Among those raising their budgets, 53% say it's because the cost of everything has gone up. That shows that increased holiday spending isn't necessarily for more gifts, but rather the same gifts at higher prices. 

One of the most notable shifts is where that spending lands. For the first time, shoppers plan to allocate more of their gift budget to themselves (21%) than to their children (17%). This shift suggests consumers are becoming more comfortable directing holiday spending toward themselves, a notable departure from prior years and one with meaningful merchandising implications. 

Finally, consumers are managing pressure by starting earlier: Nearly one in five consumers said they already started shopping before August (up from 10% last year). Getting ahead allows households to spread purchases across their budget, lock in spending and avoid a year-end crush. 

It also gives retailers earlier visibility into demand and reduces reliance on last-minute inventory clearance. For retailers, the opportunity is to meet shoppers earlier with meaningful discounts, targeted loyalty rewards, curated bundles and seamless shopping experiences that help consumers make every dollar go further.  

Why are generative and agentic AI becoming mainstream shopping tools? 

AI is helping people sort through more choices, stay within budget and feel more confident about what they buy this holiday. In fact, 71% of shoppers now expect to use generative AI for holiday shopping, up from 66% last year and 39% in 2024. Consumers are increasingly trusting AI with their most personal shopping decisions: Nearly four-in-10 U.S. shoppers are now open to using AI agents to buy gifts for their friends (38%) or themselves (37%). 

The more revealing finding is about trust. Three-in-10 shoppers say they'd now trust a personal AI agent more than themselves to make holiday purchase decisions. Among active gen AI users, that rises to about one in two. People aren't just using AI as a tool; many are becoming increasingly comfortable relying on it for shopping decisions. 

That said, most are sharing control, not giving it up completely. While 73% are open to collaborating with an agent and 58% would let one execute tasks, only 22% would let it decide what to buy and just 8% would let it purchase independently. 

Shoppers are looking to AI for inspiration, faster targeting and better decisions, not to hand over the gift purchase entirely. However, to earn this trust, AI cannot be generic and must be useful, trusted and connected to the shopping context consumers already understand. 

For example, 57% now prefer a retailer's own generative AI tool, which feels more reliable, over a publicly available one, up from an even split last year. That creates a clear opportunity for retailers to gain customer confidence by earning trust in the shopping experience. 

[READ MORE: Accenture: Customers trust AI agents to perform these tasks for them]

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How will shoppers use next-gen AI this holiday season? 

AI delegation is extending further than most retailers assume, as two in three shoppers expect gen AI to influence 30% or more of their holiday spend, with an average of 45% of category spend expected to be touched by AI in some form. 

AI's first job this season is finding value: Shoppers want AI to save money, reduce effort and sharpen comparisons. Deal-finding leads planned use at 40%, followed by comparing options at 31% and deciding where to buy at 30%. 

Consumers are also looking to AI for their most personal purchases and their hardest gift recipients. When asked where shoppers see the most value in AI agent gift assistance, hard-to-buy-for recipients and thoughtful gifts lead together at 27%, ahead of budget-constrained gifts at 26%. 

How can retailers get ready for a holiday surge of shopping agents? 

There are a few key elements for retailers to keep top of mind: 

  1. Control the checkout endpoint, as it's closer to flipping than it may look. This year, 28% of consumers say that the brand site or app is still their preferred purchase channel, ahead of direct agent checkout.​ However, with 15% saying they’ll simply buy wherever AI recommends, it’s clear that gen AI is rapidly moving from discovery into decision and transaction, implying checkout control could flip quickly, and soon.​
  2. Make value easy to verify. Agents reward what they can check: accurate pricing, promotions, real-time availability and clear return policies. A price advantage an agent can't verify won't be surfaced. To win completed transactions, retailers’ offerings must be as legible to agents as they are to shoppers, with a clear value proposition and a fulfillment promise an agent can verify.
  3. Understand the shopper's mission, not just the query. The shoppers most likely to delegate aren't asking for a product; they're asking for an outcome. They want an agent that understands them, their wants and their budget, not just the search query. Retailers organized primarily around categories and SKUs may find themselves at a quick disadvantage. 
  4. Protect the relationship. If discovery and comparison move to an external AI agent versus a retailer-owned agent, the external agent's owner starts accumulating the customer relationship and the intent data behind it. While consumers are increasingly trusting retailer owned agents, this trust can diminish with every season spent building features instead of a coherent AI commerce position. 

The requirement underneath all four priorities is clean product data, real-time inventory, integrated loyalty and a memory layer that carries context across sessions. 

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