🛠️Drilling and Boring Machine Tool Setters Operators and Tenders Metal and Plastic

HIGH
Category:Production Occupations
Last updated: Jun 6, 2025

AI Impact Overview

"This occupation faces a high risk of automation and transformation over the next decade due to AI-enabled process optimization and machine automation."

Detailed Analysis

Drilling and boring machine tool operator roles are highly susceptible to AI integration, especially where routine, repetitive, and precision-based manual tasks are involved. Rapid advances in robotics, computer vision, and predictive maintenance will make direct human involvement in setup, operation, and monitoring increasingly redundant, shifting the workforce requirement toward technical oversight, machine programming, maintenance, and process optimization roles.

Opportunity

"With proactive upskilling and an openness to technology, professionals can transition into resilient, higher-value roles in modern manufacturing."

AI Risk Assessment

Risk Level by Experience

Junior
HIGH

Junior Level:

Entry-level roles will be most affected as task-based and repetitive work is replaced by automated systems. Demand will shift quickly away from basic machine operation toward tech-enabled supervision and support.

Mid-level
MODERATE

Mid Level:

Mid-level professionals are at moderate risk but can pivot by acquiring skills in machine programming, maintenance, and quality assurance, positioning themselves as AI supervisors or technicians.

Senior
MODERATE

Senior Level:

Senior operators and leads will see job content shift more than job quantity, with increased emphasis on team leadership, troubleshooting complex automation issues, and optimizing processes in collaboration with engineers and data analysts.

AI-Driven Job Forecasts

2 Years

Job Outlook

Most positions remain, but automation pilots begin in larger plants. Demand shifts toward hybrid operator-technician roles. Small and medium manufacturers may temporarily delay adoption.

Transition Strategy

Pursue online courses in basic robotics and predictive maintenance, earn OSHA certification, request machine learning basics training from employers.

5 Years

Job Outlook

Increased automation leads to consolidation of operator positions. Remaining roles focus on advanced machine setup, process validation, and machine troubleshooting. Hybrid job profiles emerge.

Transition Strategy

Complete certification in CNC programming, seek mentorship in industrial maintenance, attend automation-focused trade events, and network with process engineers.

7+ Years

Job Outlook

Majority of manual machine roles may be replaced by AI-enabled systems. Demand for automation supervisors, safety experts, and machine learning technicians rises. Manual-only jobs become niche.

Transition Strategy

Enroll in advanced industrial automation programs, participate in AI-for-manufacturing bootcamps, develop data analysis skills for predictive maintenance roles.

Industry Trends

Data-Driven Quality Assurance

Impact:

Growth of new roles requiring interpretation and action based on real-time quality data.

Increased Regulatory Focus on Safety

Impact:

Greater need for compliance and safety oversight in increasingly automated environments.

Industrial Automation Expansion

Impact:

More processes are automated, reducing need for manual operation and increasing machine supervision.

Integrated Machine Learning

Impact:

Process optimization and defect detection increasingly rely on AI, needing human benchmarking and oversight.

Reskilling Demand

Impact:

Manufacturers invest in training existing staff for hybrid technical roles.

Robotics as a Service (RaaS)

Impact:

Easier access to automation for smaller factories, further broadening AI’s footprint.

Shift to Predictive Maintenance

Impact:

Operators required to interpret sensor data and initiate repairs before breakdowns occur.

Smart Factory Initiatives (Industry 4.0)

Impact:

Higher demand for digitally skilled workers who can manage and optimize connected equipment.

Sustainability and Green Manufacturing

Impact:

Workers need to learn about energy efficiency, waste reduction, and sustainable processes.

US Reshoring and Supply Chain Innovation

Impact:

Job opportunities may rise in domestic plants leveraging advanced automation.

AI-Resistant Skills

Problem-solving in complex machinery settings

National Institute of Standards and Technology
Skills Type:
Technical Reasoning, Mechanical Aptitude
Score:10/10

Team leadership and worker supervision

Society of Manufacturing Engineers
Skills Type:
Leadership, Supervision
Score:9/10

Safety compliance enforcement

OSHA
Skills Type:
Regulatory, Compliance, Safety
Score:8/10

Alternative Career Paths

CNC Machine Programmer

Programs and configures automated CNC machines for precision manufacturing.

Relevance: Leverages existing machine knowledge with added programming; high demand as factories automate.

Maintenance and Repair Technician

Performs technical maintenance and repair of factory automation equipment.

Relevance: Applies mechanical/electrical knowledge and is resilient to automation.

Automation Supervisor

Oversees automated manufacturing systems, ensuring quality and operational safety.

Relevance: Combines technical and leadership skills; in higher demand as plants deploy automation.

Emerging AI Tools Tracker

Fanuc Zero Down Time
AI-powered predictive analytics for CNC and robotics uptime enhancement.
9/10
Now-3 yearsGrowing in U.S. and Japan
Siemens MindSphere
Cloud-based IoT platform for real-time monitoring and AI-driven predictive maintenance.
8/10
Now to 2 yearsWidely used in transportation and industrial manufacturing.
ABB Ability
Digital solutions suite for industrial automation, machine vision, and process control.
8/10
Now-5 yearsMid adoption in advanced manufacturing sectors

Full AI Impact Report

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