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  "documentTitle": "AI and Next Wave Transformation GAM",
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      "text": "The most meaningful impact of AI adoption will come when entire workflows are redesigned to maximize the collaboration between AI-driven value and human creativity.",
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      "text": "Asset managers must also commit resources to develop a network of reliable AI solution providers. By forming extensive partnerships, asset managers can ensure access to the latest AI tools, as well as have the ability to adapt the tools to regulatory standards and tailor them to the firm's specific needs. Becoming a strategic partner with certain vendors can, in addition, provide access to support from their engineering and analytics teams, thereby expanding the asset manager's in-house capabilities. Such partnerships can be critical to the success of use cases, especially if there is limited AI expertise.",
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      "text": "Risk and Compliance. The implementation and use of AI will exacerbate certain existing risks and introduce new ones. Technology-inherent risks include leaks of proprietary data as well as hallucinations in patterns and predictions that may lead to inaccurate or misleading output. Some of these risks are particularly significant for asset managers. For example, an AI model trained on biased data can perpetuate those biases in investment decisions, resulting in investment strategies that may favor or discriminate against certain securities or assets. This can negatively impact the firm's reputation, decrease investor confidence, and cause an outflow of assets. To limit the most negative effects, asset managers need to proactively identify and monitor AI-related risks and develop mitigation strategies accordingly.",
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      "text": "It will also be necessary to monitor regional and local trends in AI regulation. The US Department of the Treasury has a report on best practices for financial institutions to manage AI-specific cybersecurity risks, for example, and more regulatory frameworks are expected across the globe. As asset managers grow more comfortable with AI, engaging with regulators to shape forthcoming regulation can differentiate a player as a leader in the technology.",
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      "text": "Even when an asset manager plans to develop key components of an AI use case internally—for example, a chatbot trained on proprietary data to support the investment team—reliable external partners will be necessary to address unexpected development challenges. To maximize the benefits of these collaborations, asset managers should carefully select partners on the basis of specific criteria that include technological compatibility with the firm's systems and proven success with other asset managers.",
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      "text": "Beyond regulatory compliance and risk management, asset managers need to think about the broader principles that they will put in place to guide the responsible use of AI. To that end, each organization needs to establish a framework for ensuring that their use of AI is aligned with their company's purpose and values.",
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