Will AI Replace Financial Analysts?

AI can automate data gathering, run scenarios, and identify patterns. However, choosing the right assumptions, interpreting results in business context, and presenting recommendations still requires human judgment.

Routine data compilation, basic reporting, and rule-based analysis face highest risk. Strategic advisory, client relationships, and complex judgment calls remain more protected.

Yes. Python for data analysis, SQL for databases, and familiarity with AI-powered analytics platforms make you significantly more productive and valuable in modern finance roles.

Focus on communication skills, business acumen, and relationship building. Seek projects with client exposure or strategic impact. The path to VP and beyond requires more than technical skills.