How AI is reshaping finance

Finance is one of the sectors where AI is making the deepest and most rapid inroads, because financial work involves exactly the kinds of tasks AI excels at: processing large volumes of structured data, identifying patterns, making predictions based on historical information, and generating standardised outputs (reports, analyses, valuations) from defined inputs.

In investment banking, AI tools are automating the production of pitchbooks, financial models populated from public data, deal comps, and industry overviews — tasks that previously occupied significant junior banker time. In accounting, automated bookkeeping (bank feed categorisation, VAT filing, payroll), audit sampling, and financial close processes are being AI-assisted. In asset management, systematic and quantitative strategies driven by machine learning now manage substantial assets. In financial risk, AI models run credit scoring, fraud detection, and market risk monitoring in real time.

Finance roles most affected by AI

The most exposed finance roles are those where the primary activity is processing and transforming financial data into standard outputs: junior investment banking analysts (pitchbook production, financial modelling), accounts payable and receivable clerks (transaction processing), junior audit staff (sample selection, document review), and financial reporting analysts producing routine management information packs. These roles are not disappearing instantly but the skills required are changing — the analysts who are protected are those who bring client-facing judgment, creative deal-structuring, and the relationship capability that AI cannot replicate, not those whose primary value is Excel and PowerPoint execution speed.

Where finance careers are growing

Finance roles that are growing or resilient: financial advisory at the complex end (M&A, restructuring, private equity value creation); AI/data specialist roles within financial institutions (quantitative research, AI risk management, fintech product development); regulatory and compliance roles (financial regulation is growing in complexity and requires human judgment); CFO and senior finance leadership (strategic business partnering, investor relations, capital allocation decisions); and specialist roles in alternative assets (private credit, infrastructure, private equity operational roles) where the underlying analysis is complex and relationship-driven.

Get real-time help in your next interview
Live Interview Help listens to your interview and surfaces personalised answers in real time. Free 20-minute trial on Google Meet, Teams, and Zoom.
Install Free on Chrome

Frequently asked questions

Is investment banking still a good career despite AI?
Investment banking remains a well-compensated career but the entry-level experience is changing. The volume of grunt work that junior bankers historically did (building models from scratch, producing comparables manually, formatting pitchbooks) is declining as AI tools produce first drafts faster. This means juniors are expected to add more value faster — understanding the strategy, the client relationship, and the judgment behind the numbers — which raises the bar for what banking actually requires of early-career professionals. Banks are not eliminating junior classes, but the shape of the junior role and what makes a strong junior banker is evolving.