Artificial intelligence will impact workflows in mergers, debt, equity, and trading in the next five years in specific ways, according to a new report. AI may be responsible for up to a third of investment banking tasks by 2030, a report found. Each role in financial services will be impacted differently as AI spreads through the industry, a process that’s well underway.

Sumeet Chabria, founder and CEO of ThoughtLinks, offered detailed case studies covering four specific areas: M&A, sales and trading, equity underwriting, and debt underwriting. Chabria’s research predicts that AI could transform as much as 33% of IB workflows by 2030, meaning it will handle everything from data analysis and document drafting to simulating market scenarios.

M&A bankers will review potential risks, provide important context, and take the lead on final due diligence. AI agents will work around the clock scanning public/private data, news, and CRM platforms to identify strategic targets. Lead ECM bankers will still oversee bookbuilding in real time, step in to adjust investor allocations when needed, and handle negotiations with key investors.

DCM teams will evaluate the best time to issue debt, while AI may draft documents. Traders will use AI recommendations to make trades on a greater scale than they are doing now. AI systems will provide real-time execution recommendations based on liquidity, venue analysis, and timing.

Read more at Yahoo Finance: How AI will shape 4 investment banking careers, from ECM to trading