Occupation · 2026 assessment

Computer Vision Engineer

The Computer Vision Engineer role combines repeatable operations with decisions that require professional context. The index measures task exposure to AI, software automation and robotics—not the probability that the occupation disappears.

Low risk level Search jobs ↗

How risk may change

A forecast estimate, not a guaranteed scenario.

22%2026

28%2028

35%2030

45%2035

Which tasks are exposed

Risk applies to individual tasks—not to a person or an entire occupation.

Task	Risk
Generating CRUD code and standard modules	50%
Creating migrations, tests and documentation	46%
Reviewing and validating generated code	21%
Generating routine code and configuration	47%
Preparing tests and technical documentation	43%
Classifying errors and analyzing logs	37%
Data migrations and routine integrations	37%
Architecture and technical trade-offs	16%

What the score means

The score reflects process repeatability, data digitization, automated verification, the physical environment and the economic incentive to deploy technology.

The index reflects potential technology exposure of occupational tasks and is not the probability that a particular person will lose their job.

AI exposure

The share of cognitive, textual, visual or analytical work that current AI systems can technically assist with or perform.

35%

Robotics

The extent to which robots, autonomous machinery and computer vision can perform physical operations in a prepared environment.

Routine work

The share of operations that repeat, follow stable rules and produce a predictable result.

31%

Digitalization

How much of the input, workflow and output already exists in digital form.

40%

Business incentive

The economic incentive to automate based on task volume, labor cost, frequency and implementation cost.

27%

Human moat

Protection created by accountability, trust, empathy, licensing, negotiation and unpredictable real-world environments.

86%

Task map

AI replaces ↔ AI augments

Each task is positioned by AI capability and the degree of human involvement still required.

Human advantage

Work with AI

Low technology impact

Automate

How much AI can perform the task → How much a human is needed →

1Generating CRUD code and standard modulesAI 50% · human 70%
2Creating migrations, tests and documentationAI 46% · human 69%
3Reviewing and validating generated codeAI 21% · human 85%
4Generating routine code and configurationAI 47% · human 73%
5Preparing tests and technical documentationAI 43% · human 83%
6Classifying errors and analyzing logsAI 37% · human 74%
7Data migrations and routine integrationsAI 37% · human 75%
8Architecture and technical trade-offsAI 16% · human 79%

Why technology can change this work

AI agents already create routine functions, tests, migrations and documentation
code, configuration and documentation are already digital
routine code, tests and technical text can be generated automatically
many outputs can be checked with tests and static analysis

What protects the occupation

understanding architecture and the consequences of changing a live system
architecture decisions and production accountability
a large share of value comes from human judgement, trust or personal accountability
understanding business constraints and legacy systems
security and complex system integration

United States · before tax

Average pay and outlook

Estimated nominal monthly pay. The scenario reflects sector, demand and task resilience; it is not a guarantee of income.

2026$10 150per month

2035$14 650scenario estimate

Find jobs ↗The partner link may contain referral parameters. Data benchmark: U.S. Bureau of Labor Statistics ↗

Practical next step

Where to move next

Do not restart from zero: carry your experience forward and add scarce skills.

Job search and transitions

Find work with a lower risk index

Compare adjacent paths and open a current search for the selected occupation.

Cybersecurity Engineer

Skill fit 72% · risk 24%

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AI Evaluation Engineer

Skill fit 87% · risk 16%

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Data Analyst

Skill fit 85% · risk 51%

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Analytics Engineer

Skill fit 83% · risk 27%

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AI Security Engineer

Skill fit 64% · risk 14%

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AI Workflow Designer

Skill fit 81% · risk 31%

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Skills you already have

reading existing code
task decomposition
systems thinking
software-system understanding
debugging
requirements work

Skills to build

software AI-agent orchestration
review and validation of generated code
AI-agent-assisted development
architecture and system design
AI-generated code security
observability and DevOps

CurrentComputer Vision Engineer · 22%

→

Keepreading existing code · task decomposition · systems thinking

→

Addsoftware AI-agent orchestration · review and validation of generated code · AI-agent-assisted development

Sources and update

Updated: 2026-09-25 · Assessment confidence: Medium

International Labour Organization · 2025Generative AI and Jobs: A Refined Global Index of Occupational Exposure

Nearly 30,000 tasks; a global assessment of GenAI exposure across detailed occupational groups.

World Economic Forum · 2025The Future of Jobs Report 2025

A survey of more than 1,000 employers representing over 14 million workers across 55 economies.

O*NET Resource Center · 2026O*NET Database

Occupational, task, skill and work-context structure.