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The Rise of AI in Wealth and Asset Management

Globally, wealth and asset management firms are propelling forward with the adoption of artificial intelligence (AI). Recent research by Publicis Sapient and ThoughtLab reveals compelling data:

  • 78% of surveyed firms are fostering environments that enable AI innovation.
  • 77% are actively developing an AI strategy and roadmap.
  • 73% have begun transitioning to cloud-based IT platforms to enhance AI capabilities.

These findings indicate a significant shift where firms not only embrace advanced technologies but also prioritize governance and talent development. 69% of firms are focused on cultivating AI skills across their organizations, while 67% are implementing robust governance policies to ensure responsible AI use. This dual approach allows firms to harness the benefits of AI while mitigating associated risks.


Key AI Developments

Machine Learning (ML) & Natural Language Processing (NLP)

The study highlights that the current AI initiatives predominantly revolve around:

  • Machine Learning (ML): 45% are automating specific tasks.
  • Natural Language Processing (NLP): 43% are employing chatbots for client interaction.

Generative AI (genAI)

Recently, the focus has shifted toward Generative AI (genAI), utilized by 37% of firms to:

  • Analyze client feedback
  • Generate personalized communications
  • Enhance investment advisory capabilities

This evolution from task automation to AI-driven augmentation emphasizes a more strategic application of technology to improve client engagement.

Operational Efficiency

In terms of operational efficiency, back-office functions are currently the leading candidates for early AI deployment. In the middle office, AI is automating compliance checks, while in the front office, nearly 60% of firms leverage AI for deeper customer analysis and support through AI-enabled chatbots.


AI Leaders Shine

The study categorizes firms based on their level of AI maturity and investment returns, identifying 21% as industry leaders. These firms benefit from:

  • Stronger ROI—5% return versus 3% for others.
  • Advanced use cases yielding up to 50% ROI on specific applications like robo-advisors.

Notably, firms in Asia-Pacific (APAC) lead in AI adoption, backed by national strategies promoting AI, including Singapore’s initiative to become a central AI hub.


Future Trends

Looking forward, firms globally are poised to expand on emerging AI technologies, including:

  • Multimodal AI for versatile data analysis
  • Explainable AI for transparency in decision-making
  • Agentic AI for automating manual tasks

According to projections from a 2025 EY survey, 85% of firms anticipate having agentic AI integrated within two years.


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