The abstract commitment to "digital transformation" now has a concrete number attached to it. Worldwide retail technology spending is projected to reach $388 billion in 2026, with AI-related investments growing at an annual rate of nearly 25%, according to Gartner data reported by WWD's Sourcing Journal. That figure sits within Gartner's broader forecast of $6.15 trillion in worldwide IT spending this year, up 10.8% from 2025.

The headline number is large enough to be meaningless on its own. What makes it useful is the breakdown — and the breakdown tells a clear story about where retail's technology priorities have shifted.

Software Is the Majority Now

In the United States, software now accounts for 46% of total retail tech budgets — more than double what retailers spend on hardware categories like communications equipment and computer equipment, per Forrester's US tech forecast for retail. That inversion matters. A decade ago, the typical retail tech budget was dominated by POS terminals, networking gear, and server infrastructure. Today, it's SaaS subscriptions, AI models, and cloud services.

The shift reflects a fundamental change in what technology does for retailers. Hardware was about running the store. Software — and increasingly, AI — is about running the business: demand forecasting, personalization, pricing optimization, and the supply chain orchestration that determines whether a product is in the right place at the right time.

Where the AI Money Is Going

The 25% annual growth rate for AI investment in retail is being driven by a handful of high-priority categories. Inventory management leads the list — 50% of retail business leaders say they expect AI to have the greatest impact there, according to industry surveys cited by WWD. That's not surprising given the current environment: tariff uncertainty, supply chain disruption from the Hormuz crisis, and volatile consumer demand make inventory the highest-stakes decision retailers face daily.

Beyond inventory, the money is flowing into several distinct areas, as Intellias notes in its retail technology trends analysis:

Agentic commerce is the newest category — AI assistants that don't just recommend products but complete transactions on behalf of consumers. As we've covered this week with both Google's UCP updates and Ulta Beauty's Gemini-powered shopping assistant, this is moving from concept to production faster than most retailers anticipated.

Phygital retail — the merger of physical and digital experiences — is absorbing significant investment, particularly in augmented reality. Retailers deploying AR mirrors for virtual try-on report conversion rate lifts of 20% to 42%, numbers that are hard to ignore in a margin-compressed environment. The category is also benefiting from broader AI improvements in computer vision and image rendering.

Autonomous supply chains represent the operational side of the spend — using AI to reduce human decision-making in warehousing, logistics routing, and demand planning. Home Depot's $100 million investment in SIMPL warehouse automation, which we covered Thursday, is a high-profile example of a trend that extends across the industry.

The Deployment Gap

The spending numbers come with a caveat. According to the same surveys, 87% of retailers have deployed AI in at least one area of business, and 60% plan to increase AI spending this year, per the WWD report. But deployed doesn't mean scaled. Many of those deployments are pilots, proofs of concept, or single-store experiments. The gap between "we use AI" and "AI drives measurable business outcomes" remains wide for most retailers.

Gartner's broader AI spending forecast — $2.5 trillion worldwide across all industries in 2026 — suggests retail's $388 billion is a meaningful but not outsized share of the total technology economy. The question for individual retailers isn't whether to spend on AI. It's whether their spending is strategic enough to generate returns before the next budget cycle demands proof.