Welders, cutters, solderers, and brazers

$51k median pay457k US jobsHigh school diploma or equivalent
2
out of 10
Getting Started

The core of this occupation is highly physical, requiring manual dexterity, physical stamina, and real-time adaptation to unpredictable environments like construction sites or repair shops. While AI and robotics can automate routine assembly-line welding, the specialized, non-routine tasks and the need for physical presence in varied locations provide a strong barrier against AI displacement.

Task breakdown

AI can do now35%
AI can assist25%
Human domain41%

Based on 15 O*NET work activities for this occupation

I want to...

Tools built for this work

None that we know of at this time. We list tools built for the specific work of this occupation, not general-purpose office software — and for this role we have not found one worth recommending yet. We keep looking.

3 ways to level up

1

Try one AI writing tool this week

Pick a repetitive writing task (emails, reports, summaries) and use ChatGPT or Claude to draft it. Edit the output rather than writing from scratch.

First step toward AI fluency
2

Automate a manual data task

Identify one task where you're copying data between systems, reformatting spreadsheets, or doing repetitive lookups. Use an AI tool or simple automation to handle it.

Reclaim 1-2 hours per week
3

Audit your weekly tasks for AI potential

Spend 20 minutes listing everything you did last week. Mark each task: AI could do this, AI could help, or only I can do this. The pattern will surprise you.

Builds your personal AI roadmap

Estimated time savings

2.4hours per week

Conservative estimate based on AI exposure score and a 40-hour work week. Assumes 30% of exposed tasks produce real time savings today.

Personalized plan

Answer 3 quick questions and get a tailored action plan with specific tools, timelines, and next steps for your role.

AI Score measures how much AI opportunity your role has. Higher scores mean more potential for AI-assisted productivity gains. Scores are derived from O*NET task data across 342 occupations. This is a starting point, not a verdict. Tool recommendations are based on industry fit and are not endorsements.

Methodology · jobsdata.ai