How AI will transform investment banking and wealth management by 2030

The new report places hard numbers on questions hanging in all Wall Street Corner offices.

According to independent consulting firm Thoughtlinks, artificial intelligence is on track to redefine 44% of the work done at banks by 2030.

Leading by former technical and operations officer Sumeet Chabria at Bank of America, Sunedlinks, led by Wall Street veteran Sumeet Chabria, mapped nearly 5,000 banks “processes” to see if the bank's role and units experience the most difficulties in their roles.

Thoughtlinks found that technology, engineering, and infrastructure (considered as one sector) are most susceptible to transformations, with 55% of the work involved in that sector being redefine by 2030. It is a logical result given that the number of tasks in these areas is accurately automated.

The front office and client sector are barely immune. According to the report, commercial banks could be redefine by 49%, wealth management could be redefine by 2030, and investment banks could be redefine by up to 33%.

Wall Street banks are investing heavily to compete. JPMorgan deployed a large language model suite with 200,000 employees, while Goldman Sachs deployed its own ChatGpt-like partner, GS AI Assistant. Last week, Citigroup announced a new leadership team that will drive AI strategies for around 5 million workers around the world.

It is important to note that these numbers do not reflect ThoughtLinks' predictions about the number of jobs lost or created as a result of AI. Rather, we look at how much people who work at banks can do it thanks to the implementation of artificial intelligence.

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To assess the amount that can be redefine each banking process, ThoughtLinks has developed a framework that maps what bank employees do to nearly 5,000 individual “processes.” “The 'redefinition' reflects significant AI-enabled process-level changes through automation, recovery, elimination, or redesign,” the company wrote in its report.

In an interview, Chabria said it is important to break the funding work into the most basic components to understand how to retrain workers in the face of the AI ​​revolution. “Obviously you need to maintain a level of agility,” he said.

Chabria shared three examples with Business Insider on how the sector responds to AI-driven changes. We've seen snapshots of commercial banks, investment banks and asset management. Look at some of the work that has already been transformed, what will be adapted by 2030, and most likely to remain in human hands for now.

Commercial Banking: 49% have been redefined by 2030

Already automated:

• Copilot Services, the first generation banking advisor, is currently live, helping bankers gain insights about their clients, quickly summarise notes and files, and assisting with basic note drafts, or flag policy exceptions.
• Several manual workflows have been replaced, such as creating spreadsheets, creating emails, and navigation of legacy systems. This reduces manual work time as well as artificial errors.
• Customers have access to the corporate banking system's virtual AI-enabled assistant, providing personalized insights and enabling them to execute day-to-day transactions more quickly.

What is expected to be redefined by 2030:

• Client Onboarding: Genai helps to coordinate client onboarding conversations and descriptions, but the following AI iterations may allow you to validate your form and assess risk:
• Banks use AI to assess the creditworthiness of small and medium-sized businesses and expand credit access.
• Banks use AI to adjust loan pricing, fee structure, and product terminology based on client behavior, financial patterns, and market conditions.
• AI tools detect several violations, generate internal alerts in real time, and increase security 24/7.

Those likely to resist being redefineed by AI:

• Large-scale corporate lending still requires human credit rulings and board oversight.
• Banks should rely on legal, tax, risk, and structured teams.

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Investment Bank: 33% has been redefined by 2030

Already automated:

• The drafting of documents such as prospectuses and pitchbooks is now digital. Generation AI tools can now build a draft pitchbook in minutes, taking in some market data, past transactions, financial comps, and company brand slides.
• Internal ai copilots are accelerating transaction preparation. Bankers can now use GPT-based tools to instantly summarise revenue calls, analyst reports and client finances.
• Generator AI tools can now review documents, flag missing disclosures, and summarise new regulatory changes.

What is expected to be redefined by 2030:

• Banks leverage AI to simulate pricing scenarios for investor demand or models of stock and debt offerings. (The final assignment remains human-driven.)
• AI helps bankers test thousands of trading methods by adjusting their debt, equity, pricing and contracts to find the right balance for their clients.

Those likely to resist being redefineed by AI:

• Final IPOs and syndicate pricing remains human-driven. Setting the price for a new issue requires banker judgment, market feel, and live investors' feedback.
• Obligation and advising C-Suites is relationship-driven, human-led, and uses AI to enhance knowledge and judgment, and land new orders.

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Wealth Management: 42% have been redefined by 2030

Already automated:

• AI Copilots can now answer questions, generate meeting preparation documents, and summarise client portfolios in seconds.
• Financial planning is faster and more scalable. Tools powered by generative AI can help you build personalized plans that simulate life events, goals, and risk tolerance, without starting from scratch.
• Client reports are personalized with custom comments on investment performance, market movements and risks tailored to each client's portfolio.

What is expected to be redefined by 2030:

• Tax management is more automated and timely.
• AI can help you adjust your advice and investment strategies to reflect your individual preferences, financial behaviors, and goals.
• Conversely, clients can use AI to manage wealth in their portfolios using smart triggers.

Those likely to resist being redefineed by AI:

• Client engagement and coaching remains human. During market slump and personal events, clients still want empathy, security and value judgments that only trustworthy advisors can provide.

• Regulators ensure that advisors are responsible for advice, not AI.

  Any hints? Please contact this reporter by email ralexander@businessinsider.com Or sms/signal 561-247-5758. Use your personal email address and unprocessed devices. Here's a guide to sharing information safely.