First-Line Supervisors of Food Preparation and Serving Workers

AI Risk Score46%Low Risk

The 46% risk score reflects the overall automation risk of your profession on a scale of 0–100. The higher the score, the more likely parts of your role could be handled by AI, increasing efficiency, but also raising the possibility of job disruption. Nearly all jobs include tasks that are automatable to some degree.

In this role, you directly supervise and coordinate activities of workers engaged in preparing and serving food. Your job is considered Low Risk for AI automation.

Below is your job's AI vulnerability profile with salary trends and employment data, plus detailed breakdowns of tasks, knowledge areas, skills, and abilities. Each item includes AI risk scores and importance ratings to help you prioritize what to focus on. Remember, look for tasks that you can automate in your job to make you more productive, while focus on developing the areas that AI cannot easily automate. Plus, explore the technology section to see what tools and software you'll likely encounter in this role and therefore can look for AI alternatives.

You're already ahead of the curve by checking your risk and exploring your options. This project goes beyond one role, we’re building a global job warning system to help everyone stay ahead of AI. By supporting our research, you’ll unlock your full job profile, including detailed risk breakdowns, trend alerts, and priority access to new research. Supporting our research not only gives you deeper insights into your own role, it helps us keep this project alive for millions of others navigating the future of work, but don't worry, if you are not ready to support us, we provide enough free insights to get you started.

In the meantime explore the sections below, and don't miss the What to do next? section for practical steps you can start today.

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On the job, you would

On-the-job activities and responsibilities that define your role. Each task is analyzed for automation potential and contributes to your overall AI risk assessment.

9/26
Balance receipts.4.55Risk

Compiling and balancing cash receipts is a repetitive and structured task that can be largely automated with accounting software.

Communicate with customers to resolve complaints or ensure satisfaction.4.55

Resolving customer complaints requires emotional intelligence and interpersonal skills, which are difficult for AI to replicate effectively.

Train food preparation or food service personnel.4.37

Training workers involves interpersonal communication and adaptability to individual learning styles, which are partially automatable but still require human oversight.

Inspect facilities, equipment or supplies to ensure conformance to standards.4.45Risk

Inspecting supplies and equipment involves physical presence and judgment, which can be partially automated but still require human oversight for quality assurance.

Maintain food, beverage, or equipment inventories.4.24Risk

Controlling inventories can be automated to a significant extent with inventory management systems, though human oversight is still needed for decision-making.

Coordinate activities of food service staff.4.23

Assigning duties and coordinating staff activities require understanding human dynamics and adaptability, which are challenging for AI to fully automate.

Estimate supplies, ingredients, or staff requirements for food preparation activities.4.07Risk

Estimating ingredients and supplies is a task that can be partially automated with predictive analytics, but human judgment is still important.

Manage food service operations or parts of operations.4.06

Analyzing operational problems and establishing procedures require critical thinking and human insight, which are difficult for AI to replicate.

Coordinate timing of food production activities.4.21

Specifying food production activities involves coordination and timing, which can be partially automated but still require human oversight.

Advanced Problem AnalysisRisk
Strategic Decision ImplementationRisk
Complex System OptimizationRisk

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Knowledge

Theoretical knowledge and understanding required for your position. Knowledge areas are evaluated for AI replacement likelihood and factor into your risk score.

9/18

Skills

Practical abilities and competencies you need to perform your job effectively. Skills are assessed for automation vulnerability and help determine your AI risk level.

9/27

Abilities

Innate and learned capabilities that enable you to succeed in your role. Abilities are analyzed for AI replication potential and contribute to your overall risk assessment.

9/39

Technology Used

Tools, software, and technological systems you use in your work.

9/18
Human resources software
Data base user interface and query software
Inventory management software
Accounting software
Point of sale POS software
Financial analysis software
Word processing software
Communications server software
Enterprise resource planning ERP software
Advanced AI Tools
Machine Learning Platforms
Predictive Analytics Software

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Expert Insights

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Expert comments on the job, click on the expert to see their answers.

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What to do next?

Great news — your role is fairly safe for now, but it's smart to stay proactive. Choose your strategy below:

Recommended for Low Risk:

  • • Upskill: Focus on human-centric skills that AI can't easily replicate (creativity, emotional intelligence, strategic thinking)
  • • Use AI: Learn to leverage AI tools to enhance your productivity and stay ahead of the curve
  • • Stay Alert: Monitor changes in your field to maintain your competitive advantage

Each tab contains curated resources designed to help you take the next step. More resources will be added over time.

Frequently Asked Questions

Based on our analysis, a this role has a 46% AI risk score, which is considered low risk. While some tasks in this role may be automated, the profession as a whole is for now, relatively safe from complete replacement. The key is understanding which specific aspects of your job are most vulnerable, some of which are shown on this page.

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