Risk Distribution
Critical (75-100): 0
High (50-74): 1
Moderate (25-49): 13
Low (0-24): 0
Highest Risk
Most Resilient
All Roles
Data & Analytics AI Risk Scores
- Reporting AnalystReporting Analysts face significant AI disruption in routine data extraction and standard report generation, but strategic interpretation and stakeholder communication remain human-centric. The role is evolving toward higher-value analysis and AI-assisted insights rather than disappearing entirely.65/100High
- Data AnalystData Analysts face moderate AI displacement risk. While AI can automate some data processing and report generation, human expertise remains crucial for interpreting results, communicating insights, and addressing complex, unstructured business problems. Proactive upskilling in AI tools and advanced analytical techniques will be essential for career resilience.48/100Moderate
- Data ScientistData Scientists face moderate AI displacement risk. While AI can automate some data processing and model building tasks, the need for human oversight, domain expertise, and creative problem-solving will remain crucial.48/100Moderate
- Business Intelligence AnalystBusiness Intelligence Analysts face moderate AI displacement risk as automated tools increasingly handle data extraction and basic reporting tasks. However, their strategic interpretation skills and business context understanding remain highly valuable and difficult to automate.45/100Moderate
- NLP EngineerNLP Engineers face moderate AI displacement risk as foundational models automate routine tasks like basic text preprocessing and simple model training. However, their deep technical expertise in language understanding, custom model architecture, and domain-specific applications creates strong defensive barriers against full automation.45/100Moderate
- StatisticianStatisticians face moderate AI displacement risk as automated tools increasingly handle routine data analysis and basic modeling tasks. However, their expertise in experimental design, causal inference, and complex statistical interpretation remains highly valuable and difficult to automate.45/100Moderate
- Analytics EngineerAnalytics Engineers face moderate AI displacement risk as code generation and data modeling tools automate routine tasks. However, their strategic role in designing data architecture and translating business requirements into technical solutions provides strong protection against full automation.35/100Moderate
- Computer Vision EngineerComputer Vision Engineers face moderate AI displacement risk as foundation models automate routine tasks like basic object detection and image preprocessing. However, their deep technical expertise in model architecture design, domain-specific applications, and complex visual reasoning keeps them highly valuable and defensible against automation.35/100Moderate
- Data ArchitectData Architects face moderate AI displacement risk as automation handles routine data modeling tasks, but their strategic design and governance expertise remains highly valued. The role is evolving toward AI-augmented architecture planning rather than being replaced entirely.35/100Moderate
- Data EngineerData Engineers face moderate AI displacement risk as automation handles routine ETL tasks and basic pipeline creation. However, complex system architecture, data governance, and performance optimization remain highly human-dependent, creating strong defensive positioning for skilled practitioners.35/100Moderate
- Data Governance AnalystData Governance Analysts face moderate AI displacement risk as automation handles routine data quality checks and policy documentation. However, their strategic oversight, stakeholder management, and complex decision-making around data ethics and compliance remain highly valuable and difficult to automate.35/100Moderate
- Data Product ManagerData Product Managers face moderate AI displacement risk as automation handles routine analytics tasks, but their strategic vision, stakeholder management, and business acumen remain highly valuable. The role is evolving toward AI-augmented product strategy rather than replacement.35/100Moderate
- ML ResearcherML Researchers face moderate AI displacement risk as automation handles routine tasks like hyperparameter tuning and basic model implementation. However, their deep expertise in novel algorithm development, theoretical foundations, and research methodology creates strong defensive barriers against full automation.35/100Moderate
- Quantitative ResearcherQuantitative Researchers face moderate AI displacement risk as automation handles routine data processing and basic modeling, but their expertise in research design, model interpretation, and strategic insights remains highly valuable. The role is evolving toward AI-augmented analysis rather than replacement.35/100Moderate
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