A reading of where
AI is moving toward your role.

Your exposure score of 73 places you in the high-exposure band. The core of the analyst role — turning raw data into reports — is the most automatable slice of your work, but the judgment layer above it is appreciating fast. The verdict: reposition upstream within the next year, or compete for a shrinking pool of execution-only roles. The task map below shows exactly which parts of your week are already inside the model's reach, and which parts still pay a premium for a human.

Data analysts in financial services have approximately 14 months before the core of their current role looks fundamentally different. According to McKinsey's 2025 report, 67% of data analytics tasks in banking are technically automatable, and Gartner projects 40% of reporting roles will be redefined within twelve months. The analysts who survive will be those who shifted upstream: defining what questions matter, not answering them. Because your organization is actively investing in AI, treat every dated finding here as a floor, not a ceiling — the curve is steeper inside firms that adopt early.

Financial services sits mid-pack on AI exposure — behind pure content roles but ahead of hands-on operational sectors. Your sector's exposure is rising fastest in the reporting and reconciliation functions. Content & Marketing leads the curve (41 signals); Skilled Trades sits safest (12 signals). Where you sit inside that band is a choice, not a fate.