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Sushi Chefs

Food Preparation & Servicevery lowaugment
BLS 2024-34: +8%
Median Wage: $35,920
Employment: 48K

Overall Exposure

8

2025 vs 2023

Theoretical Exposure

13

What AI could do

Observed Exposure

3

What AI actually does

Automation Risk Score

4

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

8โ†’14
+6

2025 โ†’ 2028 (estimated)

Theoretical Exposure

13โ†’22
+9

2025 โ†’ 2028 (estimated)

Observed Exposure

3โ†’6
+3

2025 โ†’ 2028 (estimated)

Automation Risk

4โ†’7
+3

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202461023actual
202581334estimated
2026101645estimated
2027121956estimated
2028142267estimated

Task Breakdown

Select and evaluate freshness of fish and seafood
5%ฮฒ 0
Prepare sushi rice and slice fish with precision
2%ฮฒ 0
Manage inventory and track seafood supply chain
25%ฮฒ 0.5

About This Occupation

If you work as a Sushi Chef, AI has very limited impact on your highly skilled manual role. With an automation risk of 4/100 and overall exposure at 8%, this role faces very low transformation. Inventory management sees the highest automation at 25%. BLS projects +8% growth through 2034.

Frequently Asked Questions

With an automation risk score of 4%, Sushi Chefs has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for Sushi Chefs is 4% (2025 data). Overall AI exposure is 8%, with 13% theoretical exposure and 3% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Sushi Chefs are: Manage inventory and track seafood supply chain (25%), Select and evaluate freshness of fish and seafood (5%), Prepare sushi rice and slice fish with precision (2%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +8% employment change for Sushi Chefs from 2024 to 2034. Combined with an overall AI exposure of 8%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Sushi Chefs should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.