Industry Risk Report ยท 2026

Which Tech & IT Jobs Are Safe from AI - And Which Are Being Replaced?

Software developers, QA engineers, IT support - see the full AI automation risk ranking for every computer and IT occupation, backed by peer-reviewed research.

Scroll down to see which jobs in this industry are safe from AI, which face the highest risk of being replaced by automation, and how scores compare across every role.

69/100
Avg Risk Score
43
Jobs Analyzed
The Computer & IT industry average is 69/100 โ€” where do you land?
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HIGHEST AI RISK
Database administrators and architects
95/100
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MOST AI-RESISTANT
IT Project Manager
40/100
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Computer & IT Jobs - AI Replacement Risk Ranking (Safe to High Risk)

43 occupations ranked by AI automation risk. Click any job for full skill breakdown. Scores marked ~ are category-level estimates where direct research data is unavailable.

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Risk
Score
10
Computer systems analysts
73
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About This AI Risk Report: Computer & IT

The irony of AI automation is nowhere sharper than in tech itself. AI coding assistants, automated testing tools, and self-healing infrastructure are already replacing junior and mid-level tech roles at scale. But not all IT jobs face the same risk. ML engineers and cloud architects who build and direct AI systems are among the safest tech jobs from AI automation. QA testers, junior software developers, and IT support specialists doing routine tasks face the highest risk of being replaced. This ranking covers 40+ computer and IT occupations - scored against three independent 2024 research datasets - so you can see exactly where each role stands on the AI displacement curve.

Risk scores are derived from three independent 2023-2024 research sources: Andrej Karpathy's LLM job exposure analysis (342 occupations, weighted 40%), the OpenAI "GPTs are GPTs" study published in Science (weighted 30%), and the Anthropic Economic Index (weighted 30%). Scores are clamped to a 40-95 range and reflect current artificial intelligence capabilities, not speculative future scenarios.

Jobs with a score above 75 face a high risk of being partially or fully replaced by AI automation within 3-5 years. Scores between 55-74 indicate significant automation pressure but retained human judgment requirements. Scores below 55 represent roles that are relatively safe from AI replacement - typically because they require physical presence, complex interpersonal skills, or the kind of accountability that artificial intelligence cannot credibly assume.

Frequently Asked Questions

Which tech jobs are safe from AI automation?

The tech jobs safest from AI automation are those that direct, evaluate, and improve AI systems: ML/AI engineers, cloud architects, IT project managers, and senior software engineers doing systems design. These roles require strategic judgment, cross-team coordination, and accountability that AI cannot credibly replace. Network engineers also retain strong safety due to physical infrastructure requirements.

Will AI replace software developers?

AI coding tools like GitHub Copilot, Cursor, and Claude are already writing substantial portions of production code. Junior developers doing routine CRUD work and boilerplate are most at risk of being replaced by AI. Senior engineers who design system architecture, review AI-generated code for correctness, and solve novel problems remain in demand - but the total headcount of developers needed is likely to shrink significantly.

Which IT jobs face the highest risk of AI replacement?

QA/test engineers doing manual testing, IT support specialists at level-1, junior software developers writing boilerplate code, and database administrators doing routine maintenance face the highest AI replacement risk. These roles involve repetitive, rules-based digital tasks that AI handles faster and cheaper - the same pattern driving automation across every industry.

Are data scientists safe from AI?

Data scientists face a split outcome: AI automates routine modeling, feature engineering, and dashboard generation - putting junior data roles at risk. But data scientists who design experiments, interpret novel results, and translate findings into business decisions remain resilient. The safe version of the data science role is increasingly about judgment and communication, not execution.

Will AI replace cybersecurity professionals?

Cybersecurity is one of the most nuanced cases in tech. AI automates log analysis, threat detection, and vulnerability scanning - but simultaneously creates new attack surfaces that require human defenders. Security professionals who understand adversarial AI, prompt injection attacks, and LLM-specific threats will be more valuable, not less. Pure compliance and monitoring roles face moderate replacement risk.

How should tech workers protect their careers from AI?

The tech workers most protected from AI automation are those who can direct AI systems rather than compete with them: designing architectures AI implements, reviewing outputs AI generates, and solving problems AI cannot frame. Invest in system design, AI/ML fundamentals, and business context. Avoid specialising purely in tasks an LLM already does faster - code generation, test writing, data formatting, documentation.

Curious how Computer & IT compares to other fields? See AI risk rankings for Business & Finance, Healthcare, Office & Admin, Legal.

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The Computer & IT average is 69/100. But your score depends on your exact role, daily tasks, and AI exposure - not the industry average.

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Backed by OpenAI, Anthropic & Karpathy research ยท 12,000+ reports generated
Avg Computer & IT risk: 69/100
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