AI Career Risk For Other Science Technician Roles

Will AI Replace Other Science Technician Roles in 2026?

Also known as: Science Technician, Research Lab Technician, Field Science Tech, Specialty Lab Technician.

Science technicians in this category cover specialised technical-science roles not classified elsewhere. AI and lab automation absorb routine processing; the durable work is the hands-on technical skill, the methodology judgment, and the accountability specific to each speciality.

Exposure ScoreModerate Exposure
47/ 100
Rank: 11 of 38 in Science & ResearchCategory avg: 38/100All roles avg: 39/100
This is the role's AI exposure (0 to 100, lower is safer), not your personal AI Career Index (0 to 1000). Get your own score.
Median pay: $62,280 / yr· BLS OEWS, May 2025 · occupational category
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At a Glance

Other Science Technician Roles at a glance

A quick read on Other Science Technician Roles: the AI risk band, where the role sits inside Science & Research, and the headline numbers worth knowing before reading more.

Role Overview

How AI is reshaping Other Science Technician Roles

Life, Physical, and Social Science Technicians, All Other (residual category covering specialty lab and field technicians not covered by named SOCs) work at research universities, biotech, pharma, environmental testing, government agencies, and specialty research operations performing lab work, field data collection, and the credentialed-technician work that scientific research requires. AI tools absorb routine data analysis; the bench work, field work, and credentialed accountability remain. The migration path runs into named credentialed technician roles (CLT, MLT, environmental specialist) or research-scientist credentialing where wages step up.

Some of the work is reshaping fast: the production layer, the routine analysis, the templated output. The decision and judgment layer is holding up. Where someone actually spends their day inside the role matters more than the title itself, and that's the distinction the reading below surfaces.

The reading below covers the specific AI exposure rating for Other Science Technician Roles, the tasks AI can already do today, the authority band the role typically operates at, and a six-month plan tied to where the role actually sits. Same framework used for every role in the index.

Exposure Profile

AI exposure profile for Other Science Technician Roles

How Other Science Technician Roles stack up against other roles. How much of the work AI can speed up, how much stays with people, and where the role sits compared to the Science & Research average.

Exposure Score
47OUT OF 100
Ranks 11 of 38 in the Science & Research category, above the category average
How this role compares
Other Science Technician Roles47
Category average38
All roles average39
Where AI reaches this role's tasks
AI can do directly17%(halves the time)
AI with tools66%(with software built on AI)
Stays with people17%(no real speed-up)

Share of this occupation's O*NET tasks where AI can cut the time by at least half. Source: Eloundou et al., "GPTs are GPTs", Science (2024).

Exposure trajectory
Rising

Rising: research rates about 50% of this role's work as open to AI speed-up, so pressure grows as tools improve.

Direction from research on AI (Science, 2024) and robots (Anthropic, 2026); 9.6% of this role's work already shows real AI use (Anthropic Economic Index). The line's shape is illustrative, not a measured year-by-year series.

202420252026 (now)2027
Career Simulator

What moves the score for Other Science Technician Roles?

This starts from a typical profile for a moderate exposure role. Drag any of the five dimensions to see how a structural shift would move the AI Career Index, using the exact weighting behind every reading on the site.

The AI Career Index (0 to 1000) measures your personal structural positioning. It is a different measure from this role's AI exposure score (0 to 100) shown above, which rates the role itself.

Career Simulator

Model the impact of structural shifts

A typical starting profile for other science technician roles. Move any dimension to model the impact on the AI Career Index.

AI Career Index
577/1000
Tier
AI Transitional Professional
Authority band: Integration
01000
Strategic Clarity· 25%58Transitional
AI Adaptability· 20%56Transitional
Income Leverage· 20%55Transitional
Skill Resilience· 20%60Transitional
Market Alignment· 15%60Transitional
This is a model. Run the real reading to simulate on your own scores.Run my real reading

This simulator applies the same dimension weighting used in your structural reading to estimate directional movement. It does not alter any stored assessment. Actual outcomes depend on implementation quality, sequencing, and market conditions.

Open the full Career Simulator to model all five dimensions from scratch, or see how the score is built in the structural framework.

Key Takeaways

Quick read on Other Science Technician Roles

The short version on Other Science Technician Roles: AI exposure, how much of the role AI can already do, what stays valuable, and the move worth making in the next six months. A quick summary before the deeper read.

Real-world signal

How AI is being used by Other Science Technician Roles today

Two figures for Other Science Technician Roles that sit outside our scoring framework. The adoption figure shows how much of the day-to-day work done by Other Science Technician Roles is already being absorbed by AI tools in the wild. The economic impact figure gives the macro stakes attached to the role at a national level.

AI adoption among Other Science Technician Roles
9.6%

Share of the work done by Other Science Technician Roles already showing real-world AI usage today, sourced from the Anthropic Economic Index (MIT licence). A 0% reading means the dataset observed no measurable usage for this occupation in its sample, not that AI cannot apply to the role.

Economic impact
$4.60B

Total US economic value generated by Other Science Technician Roles: median annual wage multiplied by total US employment, both from BLS OEWS.

24-Month Trajectory

Where Other Science Technician Roles are heading by 2028

Where Other Science Technician Roles sit today and where the role is heading over the next two years. We don't predict an exact future score. The direction is what the data already shows. If you're in this role or considering it, this is the direction worth planning around.

Today
47/100
Moderate Exposure
→ ⇅
Splits by seniority
In 24 months · By 2028
A two-track future
The templated, repeatable parts of the work shrink. Senior and strategic work holds steady or grows. Where you sit in the role decides which track you're on.
Category outlook

Over the next two years, where you sit in the research stack decides almost everything. Other Science Technician Roles at the technical-execution layer face accelerating pressure as AI takes more of the routine analysis and literature work. Other Science Technician Roles who design the research, hold specialist authority, or sit on peer review stay protected and arguably gain value, because the time AI saves on routine work amplifies what original contribution is worth. The path forward is upward, into research design and specialist authority.

What AI Can Do

What AI can and can't do for Other Science Technician Roles

The work AI can take over today versus the work it cannot. Where Other Science Technician Roles spend their time on this split largely decides whether the role grows or shrinks over the next two years.

Deprioritise

Stop investing in these

  • Standard statistical analysis from defined protocols
  • Templated grant proposal sections and boilerplate
  • Templated peer-review checklist responses
  • Standard figure generation from datasets
Stays human

Structurally insulated

  • Strategic research-direction decisions with grant accountability
  • Crisis decisions in failed experiments or unexpected results
  • Senior collaborator and funder relationship judgment
  • Specialist domain expertise built over years of training
AI Tools

AI tools currently affecting Other Science Technician Roles

The tools actually reshaping Other Science Technician Roles work in 2026. Each one takes over a slice of the routine work; staying valuable means owning the work that sits above them.

Elicit
AI research assistant for literature review and evidence synthesis.
SciSpace (formerly Typeset)
AI reading and writing assistant for scientific papers.
Consensus
Search engine that extracts findings and consensus from peer-reviewed papers.
Code Ocean
Reproducible research platform with AI-assisted code and data publication.
ChatGPT
Manuscript drafting, methods explanation, and code generation for analysis.
Iris.ai
Research assistant for literature mapping and topic discovery.

Tool list is editorial, not exhaustive. Listing does not imply endorsement. Updated Methodology v3 · 2026.

Structural Reading

Where Other Science Technician Roles sit structurally

Where AI is hitting the work, where it cannot reach, where Other Science Technician Roles are heading over the next two years, and what stays durable. The cards below address each question; the per-role reading underneath them grounds the answers in this role's actual tasks and knowledge layers.

Will AI Replace

Will AI Replace Other Science Technician Roles?

AI will not replace Other Science Technician Roles in the layers that involve original research design, peer-review judgment, or specialist domain expertise built over years of training. AI is absorbing routine bench work, standard data analysis, literature review, and templated writing. The original research and specialist judgment layers are not substitutable because they depend on accumulated expertise and accountability that AI cannot carry.

Automation Risk

Automation Risk for Other Science Technician Roles

Other Science Technician Roles face automation risk concentrated in routine technical execution and standard analysis. AI tooling produces literature reviews, statistical analyses, and first-pass results at near-zero marginal cost. The risk concentrates in Other Science Technician Roles whose work is dominated by technical execution. The risk is far lower for Other Science Technician Roles who own original research design, specialist expertise, or accountability-bearing peer review.

Career Outlook

AI Career Outlook for Other Science Technician Roles

Over the next two years, where you sit in the research stack decides almost everything. Other Science Technician Roles at the technical-execution layer face accelerating pressure as AI takes more of the routine analysis and literature work. Other Science Technician Roles who design the research, hold specialist authority, or sit on peer review stay protected and arguably gain value, because the time AI saves on routine work amplifies what original contribution is worth. The path forward is upward, into research design and specialist authority.

Stay Relevant

How Other Science Technician Roles Stay Relevant

Other Science Technician Roles stay relevant by moving up the research stack into original research design, specialist domain depth, or peer-review judgment. Build fluency with AI tooling so you use it as a research amplifier rather than compete with it on technical throughput. Take ownership of the original contribution and accountability that defines the role's standing in the field, the layers AI structurally cannot occupy.

Inside the Work

A typical week as an Other Science Technician Role

What the work looks like in practice: meetings, deliverables, tools, and the decisions that get escalated. Useful context for anyone weighing this role against the AI-exposure reading above.

Week-in-the-life
Authored by editorial · Other Science Technician Role
MonTueWedThuFri

A typical week for a science technician (residual category) runs at research universities, biotech, pharma, environmental testing operations, government agencies, or specialty research operations on standard lab or field hours (occasional weekend coverage for time-critical experiments). Most days mix bench work or field data collection, sample preparation, instrument operation, regulated lab documentation (GLP, GMP, ISO 17025), partnership with research scientists, and the credentialed-technician work that scientific research requires. AI tools absorb routine analysis; the bench/field work remains. The migration path runs into named credentialed technician (CLT, MLT) or research-scientist credentialing.

Compression and Durability

Where Other Science Technician Roles compress, and where they hold

A role-specific reading grounded in Other Science Technician Roles's actual O*NET tasks and knowledge layers. The paragraph below is the structural reading; the two columns name the specific layers where compression is hitting and where the work holds.

Structural reading

Other Science Technician Roles sit on a fault line. AI tooling absorbs the production layer (science & research routine production, templated reporting); the layer above, where domain judgment meets accountability, accumulates value as the volume work below it cheapens. The migration from production to judgment is the structural move that separates the two trajectories.

Salary & Occupation Data

Salary and occupational data for Other Science Technician Roles

Median annual wage, common task statements, and alternate titles drawn from O*NET 30.2 (USDOL/ETA, CC BY 4.0) · Wages: BLS OEWS May 2025. BLS reports median wages at the occupational category level, so other science technician roles and related roles that map to the same category share the same source wage. The descriptive occupational data below sits alongside the structural reading; the AI exposure score above is independent of it.

Occupation Snapshot · Other Science Technician Roles
O*NET-SOC 19-4099.00
Median annual wage
$62,280
BLS OEWS · May 2025
Junior
$48,030
Senior
$79,780
Source: O*NET 30.2 (USDOL/ETA, CC BY 4.0) · Wages: BLS OEWS May 2025 · Descriptive occupational data; the AI exposure reading is independent.
Reviewed by AI Career Index Research · Methodology v3 · 2026 ·Read the methodology →
6-Month Action Plan

Six concrete moves for Other Science Technician Roles over the next six months

Other Science Technician Roles sit on the bimodal exposure curve within science & research: production work compresses, judgment work appreciates. The six moves below help you migrate inside the role from the compressing slice toward the appreciating slice. Each move is one month, with a week-by-week sprint inside. The downloadable PDF adds end-of-month reflection prompts in a print-friendly format.

Go deeper

Take the plan with you

The downloadable PDF gives you the full plan in a print-friendly format you can keep at your desk and check against month by month. Take the AI Career Assessment to get a plan tailored to your specific situation.

FAQ

Common questions about Other Science Technician Roles and AI

The reading above answers the headline question. These FAQs cover the follow-up questions Other Science Technician Roles typically ask: wage benchmarks, the tasks most at risk, the skills that stay valuable, and the six-month plan for this role.

Further Reading

Articles relevant to Other Science Technician Roles

Hand-picked AI Career Index articles on the shifts affecting Other Science Technician Roles and nearby roles. Useful next reads for the broader context behind the reading on this page.

Testimonials

What Professionals Are Saying

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"As a CFO I assumed my job was safe from AI. The report gently disagreed. It showed that the routine modelling and reporting in my week is the part AI can take over, while the board and governance work is the part that stays valuable. I shifted about a fifth of my time toward that work, and I can already feel the difference."

Oluwaseun Adeyemi
Chief Financial Officer · Lagos, Nigeria

"My skills scored well, but my earning potential scored low. That is the classic sign of a strong operator who is underpaid. The report pointed to the single change that would lift my earning potential the most. I made it, and it worked."

Noah Kimura
Head of Growth · Auckland, New Zealand

"The report placed me in the senior strategic group and showed that my pay was trailing what that level usually earns. I took that into my pay review. The conversation was short and productive, and the numbers did the convincing."

Amira El-Hassan
Principal Product Manager · Dubai, UAE

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