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  "documentTitle": "Generative AI Making Waves",
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      "text": "Outcomes: Productivity-enhancing use cases lead; Sandbox mode dominates; Prior AI use cases are enhanced; Low-barrier use cases are exhausted; Stakeholders establish frameworks to guide FI; Successful early innovators encourage investment.",
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      "text": "Impediments: In the US, regulation remains work in progress; Computing hurdles inhibit mainstream adoption; Risk concern is relatively high for FIs; Combatting GenAI-enabled fraud and breaches consumes FI resources; Technical debt persists; Intellectual property concerns slow down select use cases.",
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      "text": "Accelerators: AI models become smaller and faster; Third party providers facilitate adoption; Bank and CM early movers realize a significant edge; In the EU, regulatory clarity makes it easier to game plan; Methods to lower hallucinations are developed.",
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      "text": "Each adoption wave consists of drivers (factors that accelerate or impede adoption) and attendant outcomes. During wave one, the factors that accelerate adoption in banking and capital markets (CM) are those that lower costs (testing and implementation) and risks. The factors that impede adoption are technological readiness as well as legal, regulatory, and trust-related issues. As FIs move from proof-of-concept to pilot and production, they need to address multiple challenges ranging from ensuring compliance to integrating with legacy systems and reengineering processes. Most FIs will initially bring use cases into production slowly but will speed up by the end of this wave. The use cases that move into production first will be low-risk, productivity-related uses of GenAI, particularly those in which traditional AI has already been leveraged, and those with stand-alone applications (e.g., virtual assistants). FIs with a lower regulatory burden, strong competitive advantage, and revenue drivers will lead the way for the rest to follow.",
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      "text": "WAVE 1: DRIVERS AND OUTCOMES",
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