TL;DR

Deutsche Bank’s proprietary AI tool dbLumina — built on Google’s Gemini 2.5 Pro — has analysed which sectors face the most disruption from AI. Its answer: finance and IT, with wealth management facing the most fundamental challenge to human roles.

The AI That Sees Its Own Impact

The Deutsche Bank Research Institute asked dbLumina to assess AI’s implications for the economy, labour markets and specific sectors. The tool’s self-assessment was blunt: data-rich sectors with automatable tasks, particularly financial services and technology, face the greatest disruption.

Within finance, wealth management stands out. The global robo-advisory market is projected to grow from $7.39 billion in 2023 to $72 billion by 2032, with assets under management reaching $2.33 trillion by 2028. That growth trajectory points to a fundamental shift in how financial advice is delivered.

Who’s Most at Risk

Beyond wealth management, dbLumina identified algorithmic trading, fraud detection and customer service as areas already being reshaped by AI. Jobs involving structured data processing — including some forms of accounting, auditing and paralegal work — are also exposed.

For those looking to stay ahead, the report points to roles requiring emotional intelligence, manual dexterity or strategic leadership. Nursing, education, construction and C-suite positions are among those considered more resilient.

Alternatively, dbLumina suggests embracing the shift directly through careers in prompt engineering, AI ethics and AI training — roles that exist precisely because of the technology’s expansion.

Looking Forward

The report adds to growing evidence that AI disruption in financial services is not hypothetical. With a major bank’s own AI tool confirming the trend, the question for finance professionals is less about whether change is coming and more about how quickly roles will evolve and what new skills will be required.