What AI is doing to business analyst work
With over 170,000 active US job postings and a projected ~9–10% occupational growth rate through 2032, the BA title is volume-hiring territory — but the mix is shifting. Demand is concentrating in financial services, healthcare, and e-commerce, where analytics-driven operations have moved from advantage to baseline. Generalist BAs who only document requirements and facilitate workshops face real wage compression; hiring premiums are going to practitioners who combine elicitation skills with SQL fluency, Power BI/Tableau proficiency, and working knowledge of AI copilot tooling. Employers now explicitly expect BAs to leverage AI tools to accelerate requirements drafting, meeting summarisation, and data pattern detection — not as a bonus skill but as table stakes. The BA who can own the analytical layer — querying data directly, defining metrics, and presenting findings to senior stakeholders — is commanding meaningfully higher compensation. Pure process-documentation work is being partially absorbed by AI-assisted tooling, making the interpretive, stakeholder-facing, and ambiguity-resolution aspects of the role its durable core.