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needsahuman

Will AI replace civil engineering technologists and technicians?

A little.

This job scores 71 out of 100 on (higher is safer). Today AI could do about 8% of the work by itself, people do 52% with AI’s help, and 40% still needs a person.

Updated 3 October 2026O*NET-SOC 17-3022UK SOC 3113, 3114Release 2026-Q4
Architecture and EngineeringCivil Engineering Technologists and Technicians17-3022 · 2026-Q4
8% AI does it52% AI helps40% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 40%AI helps 52%AI does it 8%
Each ridge is a slice of the job's task time.Needs a human 40%AI helps 52%AI does it 8%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Civil Engineering Technologists and Technicians, O*NET-SOC 17-3022. 40% of the job’s task time still needs a human, so 40 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from O*NET, and where AI stands on each today. 40% of the task time still needs a human.

Each block is one task; its height is its share of working time.Needs a human 40%AI helps 52%AI does it 8%
The job's task list: the parts AI can do are blacked out.Needs a human 40%AI helps 52%AI does it 8%
Calculate dimensions, square footage, profile and component specifications, and material quantities, using calculator or computer.AI helps
Read and review project blueprints and structural specifications to determine dimensions of structure or system and material requirements.AI helps
Draft detailed dimensional drawings and design layouts for projects to ensure conformance to specifications.AI helps
Confer with supervisor to determine project details such as plan preparation, acceptance testing, and evaluation of field conditions.Needs a human
Analyze proposed site factors and design maps, graphs, tracings, and diagrams to illustrate findings.AI helps
Prepare reports and document project activities and data.AI does it
Report maintenance problems occurring at project site to supervisor and negotiate changes to resolve system conflicts.Needs a human
Inspect project site and evaluate contractor work to detect design malfunctions and ensure conformance to design specifications and applicable codes.Needs a human
Conduct materials test and analysis, using tools and equipment and applying engineering knowledge.Needs a human
Develop plans and estimate costs for installation of systems, utilization of facilities, or construction of structures.AI helps
Develop project budgets by estimating the cost of project activities.AI helps
Plan and conduct field surveys to locate new sites and analyze details of project sites.Needs a human
Respond to public suggestions and complaints.AI helps
Negotiate with contractors on prices for new contracts or modifications to existing contracts.Needs a human

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is graded A to D, and vendor studies are labelled as such.

When could it be replaced?

Could be largely automated 2037–2053

80% of scenarios between 2037 and 2053. A range from our scenario model of capability, adoption and friction, not a forecast that the job ends.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten scenarios behind its replacement range.

Today
Will AI replace this job?
A little.
By 2045
80%
of our scenarios have AI largely doing this job by 2045 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)
By 2060
100%
of our scenarios have AI largely doing this job by 2060 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: AI could do a little of this job (A little.)100%Today2030: 70.0% of scenarios: AI could do a little of this job (A little.)70%2030: 30.0% of scenarios: AI could partly do this job (Partly.)30%20302035: 50.0% of scenarios: AI could partly do this job (Partly.)50%2035: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2035: 10.0% of scenarios: AI could largely do this job (Largely.)10%20352040: 10.0% of scenarios: AI could partly do this job (Partly.)10%2040: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2040: 50.0% of scenarios: AI could largely do this job (Largely.)50%20402045: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%2045: 80.0% of scenarios: AI could largely do this job (Largely.)80%20452050: 100.0% of scenarios: AI could largely do this job (Largely.)100%20502055: 100.0% of scenarios: AI could largely do this job (Largely.)100%20552060: 100.0% of scenarios: AI could largely do this job (Largely.)100%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%100.0%0.0%
20300.0%0.0%30.0%70.0%0.0%
203510.0%40.0%50.0%0.0%0.0%
204050.0%40.0%10.0%0.0%0.0%
204580.0%20.0%0.0%0.0%0.0%
2050100.0%0.0%0.0%0.0%0.0%
2055100.0%0.0%0.0%0.0%0.0%
2060100.0%0.0%0.0%0.0%0.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from O*NET work context, licensing and the evidence we have.

Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Clients want a personFace-to-face contact is rated 5.0 and physical closeness 3.3 out of 5; caring for or serving people is 2.1 out of 5 in importance.
LiabilityMistakes are rated 2.4 out of 5 for consequence and decisions 3.4 out of 5 for impact; someone has to answer for them.
RegulationWorkers rate responsibility for others' health and safety 2.9 out of 5.
LicensingUsual entry requirement (BLS): associate's degree.
Physical work22% of the task time is physical; robots have been shown on 64% of that time.

What would it cost to hand the work to AI?

The share of the year AI could handle (622 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$60–$6,220
A person’s wage for the same hours
$13,220–$29,600

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

22%
of the task time is physical work
Dexterous humanoid
the kind of robot the physical work would need
Not commercial: no cited robot does most of this work; humanoids are at demonstration and pilot stage.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 40%AI helps 52%AI does it 8%
Writing · 13.9% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 28.4% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 17.9% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 7.9% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 0% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 22.3% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 9.6% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 40%AI helps 52%AI does it 8%
How exposed is it?

Still needs a human: 71/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 40% needs a human, 52% AI helps, 8% AI does it. Still needs a human: 71/100 ↑ safer. Will AI replace them? A little.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 71/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate some drafting, design analysis, and project documentation tasks, but civil engineering technologists will still be needed for site work, judgment, coordination, and regulatory compliance.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudeNo

AI will automate certain design and analysis tasks, but civil engineering technologists' hands-on site work, inspections, and practical judgment in physical infrastructure contexts will remain essential and largely irreplaceable within this timeframe.

claude-sonnet-5 · asked 2026-10-03
GeminiPartly

While AI will automate routine drafting, data analysis, and modeling, it cannot fully replace the hands-on site inspections, physical testing, and complex real-world judgment required of civil engineering technologists.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will automate routine drafting, calculations, takeoffs, and documentation, but civil engineering technologists’ fieldwork, coordination, inspection, and validation responsibilities are unlikely to disappear entirely.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Civil Engineering Technologists and Technicians? A little. Still needs a human: 71/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/civil-engineering-technologists-and-technicians/ (accessed 3 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

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The badge updates itself with each release and links back to this page.

Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.