Financial Institutions Struggle to Realize AI Benefits

Financial institutions are struggling to realize the full potential of artificial intelligence (AI) licenses, according to a new report by Wall Street Prep and Financial Edge. The findings suggest that while some of the sector's largest financial institutions have made significant strides in AI deployment, broader access to AI tools does not automatically translate into workforce capability. Goldman Sachs, for example, has reported making its GS AI Assistant available to approximately 46,500 employees in June 2025, while JPMorgan Chase has stated that its internal LLM Suite passed 200,000 onboarded users within eight months of launch.

However, the benchmark suggests that capability development has not kept pace with adoption, a pattern that echoes findings from MIT's NANDA project in August 2025. The report found that 95% of enterprise generative AI pilots produced no measurable P&L impact. These findings contrast sharply with the widespread reporting of AI deployment across the industry, highlighting the challenges institutions face in fully realizing the benefits of AI.

The report identifies several key issues preventing AI from delivering the expected returns. One major barrier is what the report calls the "reviewer ceiling." Junior analysts may draft materials faster with AI, but output remains constrained if senior reviewers lack the fluency to audit those drafts efficiently. The report argues that because an hour saved at the MD level is worth roughly ten times the same hour saved at the analyst level, improving AI adoption among senior professionals is one of the highest-leverage opportunities for firms.

The findings suggest that AI adoption remains lowest in some of the industry's highest-value workflows, including credit analysis and underwriting. These are the exact tasks where generative AI should excel, given the heavy documentation requirements and extensive structured data. However, because few reviewers have been trained to audit AI-generated drafts, professionals avoid the tools exactly where the productivity gains would be greatest.

To help leaders address these challenges, the report includes a 90-day implementation playbook built on practices observed at the firms furthest ahead. For organizations seeking a more structured approach to building AI capability across finance teams, Wall Street Prep and Financial Edge offer AI training programs for financial services professionals.

With FY27 budget conversations now underway and recruitment decisions for the 2028 analyst class coming this quarter, firms have a narrow window to move ahead. The report highlights the importance of addressing the "reviewer ceiling" and ensuring that AI adoption is accompanied by adequate training and development for senior professionals. Firms attempting to force adoption are falling into predictable traps and losing six to twelve months of capability development in the process.

The findings underscore the need for a more nuanced approach to AI deployment in financial institutions. While AI can significantly enhance productivity in certain areas, it requires careful management to ensure that the tools are used effectively and that the workforce is properly trained to leverage them. As financial institutions continue to grapple with the integration of AI, they must prioritize workforce development to fully realize the potential of these advanced technologies.