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Mechanical Engineering Technologists and Technicians

Mechanical Engineering Technologists and Technicians — AI exposure, safer roles, and a pivot plan.

Also known as: Brinell Tester · Engineering Aide · Engineering Analyst · Development Technician · Engineering Data Analyst · Automation Design Checker

AI Task Exposure Score

Moderate exposure

More exposed than 46% of 968 occupations · Rank #487 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

  • Prepare equipment inspection schedules, reliability schedules, work plans, or other records.69
  • Calculate required capacities for equipment of proposed system to obtain specified performance and submit data to engineering personnel for approval.62
  • Record test procedures and results, numerical and graphical data, and recommendations for changes in product or test methods.60

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

  • Set up prototype and test apparatus and operate test controlling equipment to observe and record prototype test results.57
  • Review project instructions and specifications to identify, modify and plan requirements fabrication, assembly and testing.53
  • Assemble or disassemble complex mechanical systems.52

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 47 puts Mechanical Engineering Technologists and Technicians in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 3 of 20 analyzed tasks lean automatable, 17 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: adopt AI deliberately on the augmentable tasks and build visible evidence of the durable ones.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

  • $74,510median wage
  • 36,190employed
  • 3,200annual openings
  • +0.0%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Your week probably doesn’t match the average

This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.

Personalize my result — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

FAQ — Mechanical Engineering Technologists and Technicians

What does a score of 47 mean for a Mechanical Engineering Technologists and Technicians?
It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 47 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?
The highest-exposure tasks are: Prepare equipment inspection schedules, reliability schedules, work plans, or other records; Calculate required capacities for equipment of proposed system to obtain specified performance and submit data to engineering personnel for approval; Record test procedures and results, numerical and graphical data, and recommendations for changes in product or test methods. Exposure is scored per task from structured data, not generated by a language model.
Which parts of this job are most durable?
The current data release does not distinguish durable tasks for this role.
Is this score personalized to me?
No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology