AI-Resilient Tech Jobs

Software development is labeled "Mostly Resilient" because AI has become a powerful helper for developers rather than a replacement, speeding up tasks like writing and reviewing code while leaving the most important work (...

Computer systems analysts are holding up well because the most important parts of their job, like meeting with clients, advising managers, and deciding what technology a business actually needs, still require human judgmen...

Telecommunications engineering is labeled "Mostly Resilient" because AI is taking over the repetitive, time-consuming tasks (like documentation, routine monitoring, and data validation) while engineers stay in the driver's...

Information Security Analysts earn the "Mostly Resilient" label because AI is taking over the repetitive, time-consuming parts of the job (like sorting through alerts and monitoring networks) while humans remain essential ...

Health Informatics Specialists are labeled "Mostly Resilient" because AI is taking over the repetitive, routine parts of the job (like data entry, medical coding, and generating first drafts of clinical notes) while the mo...

Computer Network Architects are labeled "Mostly Resilient" because while AI is quickly taking over the routine, repetitive parts of network operations (like incident response and basic troubleshooting), the higher-level wo...

Information security engineering is labeled "Mostly Resilient" because AI is taking over the repetitive, time-consuming tasks (like sorting through alerts, writing reports, and checking for compliance) while leaving the cr...

IT project managers are holding up well because the heart of their job, things like leading teams, resolving conflicts, negotiating with stakeholders, and making judgment calls under pressure, requires deeply human skills ...

Computer and information research scientists are labeled "Mostly Resilient" because AI is reshaping their work without replacing them. Much of the routine or repetitive technical work is being automated, but that actually ...

Computer Systems Engineers and Architects earn a "Mostly Resilient" label because AI is stepping in as a helpful assistant rather than a full replacement, handling routine tasks like server monitoring and patch testing whi...

Web administration is labeled "Mostly Resilient" because while AI is taking over many of the routine, repetitive tasks (like monitoring server logs and generating reports), the judgment-heavy work that really matters still...

Video game design earns a "Mostly Resilient" label because the heart of the job, things like creative storytelling, emotional world-building, and leading a team through complex decisions, are areas where AI consistently fa...

GIS careers are holding up well because AI is acting more like a powerful assistant than a replacement, automating the repetitive parts of the job (like digitizing maps and extracting features from images) while still depe...

Database Architecture is labeled "Mostly Resilient" because while AI is taking over the more repetitive parts of the job (like writing schemas and routine maintenance), the strategic and creative work of designing data sys...

This career earns a "Mostly Resilient" label because, while AI is genuinely taking over a lot of the repetitive tasks (like monitoring logs, flagging errors, and routine system maintenance), humans are still needed to supe...

Actuaries land in the "Mostly Resilient" category because AI is genuinely transforming their day-to-day work, but in a way that shifts their focus rather than eliminates their role. Routine tasks like writing reports, clea...

Biostatistics is holding up really well against AI because the most important parts of the job, like deciding whether a drug is truly safe and effective, still require human judgment that regulators and the industry are no...

Digital forensics analysts are holding up well because the most important parts of their job still require human judgment, ethics, and communication skills that AI simply cannot replicate. AI tools like Cellebrite's Genesi...

Penetration testing earns a "Mostly Resilient" label because AI is changing how the work gets done rather than eliminating the need for human testers altogether. The most repetitive parts of the job, like scanning systems,...

Web and digital interface design is labeled "Mostly Resilient" because while AI tools are quickly taking over routine tasks like link maintenance and basic code writing, the heart of this career (understanding real people,...

Software QA testing is labeled "Mostly Resilient" because while AI is quickly taking over the repetitive, routine parts of the job (like writing test scripts and logging bugs), the deeper work of judging whether software i...

Clinical Data Management is labeled "Mostly Resilient" because while AI is quickly taking over the repetitive, manual parts of the job (like data entry, verification, and query resolution), the higher-level work of supervi...

Business Intelligence Analysts are labeled "Mostly Resilient" because while AI is quickly taking over the routine parts of the job (like generating standard reports and pulling together data), the deeper work of interpreti...

Data science is labeled "Mostly Resilient" because AI is reshaping the job rather than replacing it, taking over repetitive tasks like data cleaning and basic visualizations while leaving the more complex, human-centered w...