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Occupation · 2026 assessment

Intelligent systems developer: razrabotchik intellektualnykh sistem

Intelligent systems developer: razrabotchik intellektualnykh sistem is an occupation responsible for building, testing or supporting digital systems and data in a defined technology domain. The profile assesses automation of individual tasks rather than disappearance of the whole occupation.

High risk level Search jobs ↗
How risk may change

A forecast estimate, not a guaranteed scenario.

63%2026
67%2028
72%2030
80%2035

Which tasks are exposed

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

TaskRisk
Generating CRUD code and standard modules92%
Creating migrations, tests and documentation88%
Reviewing and validating generated code57%
Generating routine code and configuration89%
Preparing tests and technical documentation85%
Classifying errors and analyzing logs77%
Data migrations and routine integrations80%
Architecture and technical trade-offs52%

Task map

AI replaces ↔ AI augments

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

  1. 1Generating CRUD code and standard modulesAI 92% · human 38%
  2. 2Creating migrations, tests and documentationAI 88% · human 36%
  3. 3Reviewing and validating generated codeAI 57% · human 54%
  4. 4Generating routine code and configurationAI 89% · human 41%
  5. 5Preparing tests and technical documentationAI 85% · human 50%
  6. 6Classifying errors and analyzing logsAI 77% · human 42%
  7. 7Data migrations and routine integrationsAI 80% · human 42%
  8. 8Architecture and technical trade-offsAI 52% · human 49%

Why technology can change this work

  • AI agents already create routine functions, tests, migrations and documentation
  • code, configuration and documentation are already digital
  • a large share of textual, analytical or information tasks is accessible to current AI models
  • the main inputs and outputs already exist in a digital environment
  • the scale and cost of routine operations create a strong automation incentive
  • routine code, tests and technical text can be generated automatically

What protects the occupation

  • understanding architecture and the consequences of changing a live system
  • architecture decisions and production 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 400per month
2035$13 200scenario estimate
2026: $10 40020262027: $10 70020272028: $10 95020282029: $11 25020292030: $11 55020302031: $11 85020312032: $12 20020322033: $12 50020332034: $12 85020342035: $13 2002035
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.

Data Analyst

Established resilient role
New role risk51%
DemandMediumDifficultyLowTime3–6 monthsSkill fit87%

AI Workflow Designer

Emerging role
New role risk31%
DemandHighDifficultyLowTime3–6 monthsSkill fit87%

Product Manager

Established resilient role
New role risk31%
DemandMediumDifficultyHighTime12–24 monthsSkill fit52%

Digital Twin Engineer

Emerging role
New role risk14%
DemandHighDifficultyMediumTime6–12 monthsSkill fit64%

AI Application Engineer

Established resilient role
New role risk19%
DemandHighDifficultyLowTime3–6 monthsSkill fit81%

AI Agent Supervisor

Emerging role
New role risk24%
DemandHighDifficultyLowTime3–6 monthsSkill fit81%

Job search and transitions

Find work with a lower risk index

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

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
CurrentIntelligent systems developer: razrabotchik intellektualnykh sistem · 63%
→
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: 2026-09-26 · 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.