At the recent 2025 Bund Summit, financial industry leaders emphasized that their primary concern is not AI technology itself, but the tangible value it can deliver. Key questions revolve around productivity improvements, ROI calculations, and accountability. Currently, financial AI exists in a “Wilderness period,” where companies have begun technological explorations but face significant uncertainty regarding business models and measurable value. Many executives express confusion over AI’s responsibility and its integration into core business processes, which complicates value assessment.
Despite AI’s potential across functions like risk assessment and customer service, a clear business model is lacking, hindering progress. The industry’s focus is shifting from imaginative discussions of AI to actionable strategies with defined outcomes. Financial institutions are leaning towards specialization, seeking technical support that demonstrates clear business results through innovative models.
To navigate the current landscape, collaboration between large banks and smaller institutions is essential, as is a commitment to developing a robust value framework for AI in finance.
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