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Retail & E-commerce

Self-checkout, AI recommendations, and automated fulfillment are reshaping retail from store floor to warehouse.

At Risk
4.6 million
AI Adoption
73%
Timeline
1-3 years
Overall Risk
70%
Industry Risk Level
70%

Based on AI adoption rate, automation potential, and labor market trends

Industry Overview

Retail is among the most exposed industries to AI automation. Cashier positions, currently around 3.3 million in the U.S., are projected to decline by 10.6% by 2033. Between 2019 and 2023, general merchandise cashier employment dropped 23% while overall store employment grew 3%.

The transformation goes far beyond checkout. By 2025, an estimated 1.2 million self-checkout units are installed globally. Walmart plans 65% of stores serviced by automation by end of FY2026. AI-powered recommendations drive up to 35% of e-commerce revenue. Meanwhile, 98% of retail executives expect full AI deployment within three years. The workers hit hardest are disproportionately women, who hold 73% of cashier positions.

Key AI Tools Disrupting Retail & E-commerce

Amazon Just Walk Out
Cashierless checkout using computer vision and sensor fusion
Shopify AI (Sidekick)
AI-powered store management, product descriptions, analytics
Walmart AI/Automation
65% of stores serviced by automation by FY2026
Dynamic Pricing AI
Real-time price optimization based on demand and competition

Roles at Highest Risk

Cashier
88% risk

Self-checkout and cashierless stores are rapidly replacing traditional checkout positions.

Stock Clerk
72% risk

Automated inventory systems and robots handling shelf-stocking in large retailers.

Customer Service Rep (Retail)
70% risk

AI chatbots handling product questions, returns, and order tracking.

Data Entry Clerk
90% risk

AI processes invoices, inventory data, and product catalogs automatically.

Safer Roles in Retail & E-commerce

Store Manager
40% risk

Staff leadership, customer escalations, and community relationships remain human.

Visual Merchandiser
35% risk

Physical store design, brand storytelling, and sensory experiences require creativity.

Luxury Sales Associate
28% risk

High-touch personal service and relationship-based selling resist automation.

Emerging AI-Era Roles

E-commerce AI Strategist$90,000 - $150,000

Optimizes AI-driven personalization, recommendations, and dynamic pricing.

Retail Automation Manager$80,000 - $130,000

Oversees self-checkout deployment, inventory robots, and fulfillment automation.

Customer Experience Designer$85,000 - $140,000

Creates seamless omnichannel experiences blending AI and human touchpoints.

How to Future-Proof Your Career in Retail & E-commerce

1

Transition from transaction processing to customer experience and relationship building

2

Learn e-commerce platform management and digital marketing

3

Develop skills in inventory analytics and supply chain optimization

4

Move into store management or visual merchandising roles

5

Get certified in retail technology systems and omnichannel operations

Key Statistics

Cashier automation risk88%
Among highest of any occupation
Self-checkout units1.2M
Globally installed by 2025
General merch cashiers-23%
Decline 2019-2023 while store employment grew

Recent Industry News

US cashier employment projected to decline 10.6% by 2033

BLS projects loss of 350,000+ cashier positions over the decade.

2025-01-15
Walmart to have 65% of stores automated by FY2026

Largest retailer accelerates self-checkout and fulfillment automation.

2025-03-20
98% of retail executives expect full AI deployment within 3 years

23% expect completion by end of 2025, another 58% by 2026.

2025-06-10

Recent AI Layoffs

47,555 workersacross9 companies
Nike
Accelerating automation at distribution centers
-775
Jan 18
Walmart
AI inventory management and self-checkout expansion
-2,000
Sep 10
Nike
AI supply chain optimization and digital-first strategy
-1,600
Mar 21
Instacart
AI shopping and delivery optimization
-250
Feb 6
Levi Strauss
AI-generated model images for e-commerce
-400
Jan 25

Work in Retail & E-commerce?

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Sources & Methodology

Risk estimates are derived from multiple public data sources including government labor statistics, industry surveys, and research reports. Overall risk scores combine AI adoption rates, automation potential of common tasks, and labor market projections. Individual results may vary based on role, employer, and region.Layoff data last updated: January 18, 2026

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