A bigger number, and a faster rate, than last year
The National Retail Federation is forecasting that holiday retail sales between November 1 and December 31 will grow 4.2% over 2025, reaching $1.013 trillion. That is not just a bigger number than last year's $972 billion. It is a faster growth rate than the 3.1% increase NRF recorded for the 2025 season, which means the trade group is calling for an acceleration in consumer spending at exactly the moment household budgets are supposedly under more pressure, not less.
NRF President and CEO Matthew Shay framed the forecast around resilience rather than confidence, saying consumers will prioritize the holiday season even as they remain mindful of their budgets. That is a more careful claim than a straightforward growth story, and it is worth taking at face value. The forecast is not that shoppers feel flush. It is that holiday spending has become a budget line item people protect even while cutting elsewhere, which is a different and more durable kind of demand for retailers to plan around.
Where an accelerating number can coexist with real strain
NRF Chief Economist Mark Mathews offered the caveat that matters most for anyone trying to reconcile a faster growth rate with a strained consumer: inflation, rising gas prices and pressure on household spending will affect consumers differently across income groups. That is NRF's own economist warning that the 4.2% figure is an aggregate, and aggregates can rise even when a meaningful share of the customer base is spending less, as long as another share is spending enough more to offset it.
For enterprise retail planners, that distinction should change how the forecast gets used internally. A single blended growth number is a reasonable input for total revenue planning, but it is a poor guide for merchandising, staffing, or promotional strategy by store or by channel, since the same report that produces 4.2% nationally almost certainly contains meaningfully different numbers by income band, region, and category underneath it. Treating 4.2% as uniform across every segment of the customer base is the fastest way to misread where the actual demand is concentrated this season, and to misallocate inventory and marketing spend as a result.
The hiring forecast reads as restraint, not a signal either way
NRF expects retailers to hire between 325,000 and 375,000 seasonal workers this year, compared with an estimated 356,000 last season. The midpoint of this year's range sits almost exactly where last year landed, which is a notably flat number given that NRF is simultaneously forecasting faster sales growth. Retailers appear to be betting they can serve more demand without proportionally more seasonal headcount, which is either a productivity story or a caution story depending on how it plays out.
That flatness is consistent with what this newsletter has covered all year on retail automation and in-store AI tools, from AI closet builders to AI-assisted checkout and crime reporting. A retailer that has spent 2026 investing in tools that reduce the marginal labor needed per transaction would rationally plan flat seasonal hiring against rising sales, and the hiring number here is at minimum consistent with that story, even though NRF's release does not draw the connection explicitly.
What NRF's total-retail number misses that a channel-specific forecast would catch
NRF's $1.013 trillion figure covers total retail spending across every channel, which makes it the right number for thinking about the holiday season as a whole but the wrong number for thinking about where within that whole the growth is actually concentrated. Adobe's separate forecast, covering online spending specifically, calls for 6.7% growth, a meaningfully faster rate than NRF's blended total-retail figure, which implies that offline spending growth is running well below the national average to make the blended number come out at 4.2%.
That gap between an online-specific growth rate running well ahead of the blended total-retail rate is itself a signal worth sitting with, not a contradiction to resolve. It says the growth NRF is forecasting is disproportionately an e-commerce and digital-channel story even inside a report whose headline is about total retail, which matters directly for how a retail CIO should be prioritizing site reliability, fulfillment capacity, and digital channel investment relative to in-store initiatives this quarter.
The caveats NRF flagged are the ones that should shape contingency planning
NRF's release ties its measured hiring approach directly to higher gas prices, persistent inflation, higher interest rates, and elevated consumer debt, the same four factors Mathews cited as the reason spending gains will land unevenly. None of these are new risks in the abstract, but naming all four together as the basis for a hiring forecast is NRF signaling that its own members are planning for a season that could underperform the headline number if any one of those pressures intensifies past what is already priced into the forecast.
For enterprise retail technology leaders, the practical move is to build Q4 contingency plans around which of those four factors would most directly compress demand in your specific customer base, rather than treating 4.2% as a single scenario to plan against. A retailer whose customer base skews toward higher debt-to-income ratios should weight the consumer-debt risk more heavily than one serving a more affluent segment, and NRF's own framing supports building that kind of segmented sensitivity analysis rather than a single blended forecast.
The bottom line for retail technology and operations leaders
Take the 4.2% and $1.013 trillion figures as a reasonable planning baseline for the season as a whole, but do not let the acceleration from last year's 3.1% rate read as broad-based consumer strength, because NRF's own economist is explicitly warning that it is not evenly distributed. The more useful signal in this report is the combination of faster blended growth with flat seasonal hiring, which points toward a season where retailers are betting on productivity and digital channels to carry more of the load than additional headcount or broad-based offline demand.
That combination is exactly the environment in which the automation, loss-prevention, and AI-assisted operations investments this newsletter tracks week to week either pay off or get exposed. A retailer heading into a season forecast to grow faster with flat seasonal staffing has limited room for the kind of friction that AI-driven tools are supposed to remove, which makes this holiday season a genuine stress test for every 2026 retail-tech investment rather than just another seasonal sales cycle to report on afterward.
