Roles in software development, IT infrastructure, data science, cybersecurity, and AI.
7
Roles covered
1
High impact
6
Medium impact
Technology
AI automates 60-70% of routine data tasks (SQL writing, report generation, data cleaning); natural language interfaces democratize data access. Strategic thinking, business context, and knowing which questions to ask remain human-driven. 23% job growth through 2033, much faster than average.
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Technology
AI tools augment model development and coding (GitHub Copilot used by 50%+ of data scientists), while problem definition, research direction, and strategic AI applications remain fundamentally human. 34% job growth through 2034 (9x faster than average). LLM expertise commanding $20,000-$40,000 salary premiums.
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Technology
25% of help desk jobs transforming in 5 years as AI agents handle 30-50% of support volume; 50,500 annual openings remain through specialization growth.
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Technology
AI will handle 50%+ of research, documentation, and analysis work, increasing from 1–2 hour daily productivity gains to freeing strategic time, but vision, empathy, and cross-functional leadership remain distinctly human capabilities.
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Technology
AI generates 50-60% of routine code; senior architects and complex problem-solvers increasingly command premium roles—junior coders face compression.
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Technology
AI automates wireframing and prototyping (40-60% faster); user research and strategic design thinking remain essential human domains.
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Technology
AI generates 40-55% of boilerplate code; system architecture, security, and accessibility remain essential; specialists command premiums.
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AI impact assessments are based on research from March 2026. Data is refreshed quarterly. Impact levels reflect the current pace of AI adoption.