The trillion-dollar headline, and the number under it
Bain & Company's 2026 holiday forecast projects U.S. sales will exceed one trillion dollars for the first time in history, with 4.5 percent year-over-year growth compared to 3.5 percent growth recorded during the 2025 season. That is a genuinely strong headline number on its face, and it is the figure that will get most of the attention internally when the forecast circulates through finance and merchandising teams building their fourth-quarter revenue plans over the coming weeks.
The number that deserves more scrutiny is the composition sitting underneath that headline growth figure. Bain's analysis shows more than half of the nominal increase is coming from inflation rather than from consumers actually buying more units this year than last. Categories seeing both price and unit growth together include general merchandise, clothing and accessories, and ecommerce broadly, while furniture, electronics, appliances, and food and beverage are all expected to stay essentially flat. A revenue plan built on the headline 4.5 percent figure without separating price from volume will systematically overstate real consumer demand and understate the pricing discipline actually needed to hit margin targets this quarter.
Physical stores still carry most of the season
In-store sales will drive 70 percent of holiday revenue this year, according to Bain's breakdown, with non-store sales, meaning ecommerce and other digital channels combined, growing 9 percent year over year on top of an already large base. That split is a useful corrective for any organization that has spent the past two years shifting capital and engineering attention almost entirely toward digital experience improvements at the relative expense of core store operations and staffing.
None of this means digital investment over the past two years was misdirected effort. It means the return on store-level readiness, meaning accurate staffing levels, reliable inventory data, and fast checkout lines, remains disproportionately large relative to the attention it typically receives in a fourth-quarter technology roadmap dominated by digital line items. A retailer that nails agentic commerce discovery on the front end but leaves store associates without accurate real-time inventory visibility is optimizing the smaller half of the ledger while the larger half goes underfunded.
A quarter of shoppers now start with an AI agent
The figure with the most direct implication for technology leaders reading this forecast is straightforward: 24 percent of online shoppers now say they plan to begin their holiday shopping journey on an AI platform such as Claude, Google Gemini, or ChatGPT, up from 17 percent during the 2025 season. That is a seven-point jump in twelve months, and it means roughly a quarter of all digital shopping journeys this holiday season will begin entirely outside any individual retailer's own website or mobile app before a single product page loads.
Bain partner and global head of the retail practice Aaron Cheris framed the strategic response to this shift directly: 'The key for retailers is to make the most of the crucial holiday season by striking the right balance when it comes to price and promotions and making the most of new AI capabilities to enhance the customer experience.' The framing matters because it treats AI capability as a lever sitting on par with pricing and promotion strategy for the quarter, not as a separate innovation project running quietly on its own slower timeline off to the side.
Discovery happens before the click now
A quarter of shoppers starting their journey on an external AI platform means product data quality has become a top-of-funnel problem for retailers, not a bottom-of-funnel one to worry about later. If an AI assistant cannot accurately parse a retailer's product attributes, current pricing, real-time availability, and shipping timelines, it will simply route that shopper to a competitor whose data it can parse cleanly, and the first retailer never even gets a chance to compete on price or experience because it never entered the consideration set to begin with.
This is a meaningfully different discipline than traditional search engine optimization, and most retail technology organizations do not yet have a dedicated team or budget line built specifically for it. It requires structured, machine-readable product feeds, consistent schema markup across the entire catalog, and increasingly, direct integration with the emerging commerce protocols these AI platforms are standardizing around this year. Retailers still treating this as a marketing afterthought rather than a core data infrastructure investment will find their holiday AI-referral traffic capped well below where it realistically could be.
What this means for fourth-quarter budget conversations
The practical takeaway for a CIO or CTO heading into fourth-quarter planning meetings is that the trillion-dollar headline is not actually the number to build a technology budget around this year. The number to build around is the growing share of demand arriving through channels the retailer does not directly control, whether that is an AI platform's referral traffic or a shopper who researched a purchase on a phone earlier in the day and ultimately bought it inside a physical store that evening.
Bain's forecast is ultimately a forecast about channel fragmentation as much as it is one about aggregate growth. Retailers that treat this holiday season as a real test of whether their product data, inventory systems, and AI integration all work coherently together across every entry point will learn more from the next four months than a full year of steady-state operations would normally teach them, and that lesson will shape next year's technology roadmap regardless of exactly how the trillion-dollar top line ultimately lands when the season closes.
