Time spent, weighted by AI capability.
What the data is telling us.
Where investment bankers move next.
Made for LinkedIn-day-three conversations.
Common questions about Investment Banker AI exposure.
What is the AI exposure score for Investment Bankers?
Investment Bankers have an overall AI exposure score of 68%, meaning approximately 68% of their time-weighted tasks can be substantially assisted or substituted by current frontier AI models. This places the role in the "High" exposure category.
Will AI replace Investment Bankers?
AI is unlikely to fully replace Investment Bankers in the near term. The 32% of tasks classified as Human-Critical — including Structure and negotiate deal terms and Client origination and relationship management — remain strongly human-dependent. AI is more likely to augment the role, raising productivity and shifting focus toward higher-judgment work.
What tasks are most exposed to AI for Investment Bankers?
The most AI-exposed tasks for Investment Bankers include: Build financial models (DCF, LBO, comps), Draft pitch books and presentations, Conduct industry and market research. These have exposure scores of 88%, 84%, 82% respectively.
What skills should Investment Bankers develop to stay resilient?
Investment Bankers should focus on developing skills in areas that AI struggles with: Structure and negotiate deal terms, Client origination and relationship management, Regulatory and board approvals. Adjacent careers with lower exposure include Private Equity Associate and Financial Analyst.