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AI for Investment Management Brief
A monthly IAIM publication featuring articles on AI tools, industry adoption, regulation, and practical investment applications.
Monthly brief
Clear, curated reading on AI and investment management.
The AI for Investment Management Brief gathers credible articles, reports, and regulatory updates in one place. The goal is to help students, faculty, practitioners, and IAIM partners quickly understand what is changing and why it matters for the future of investing.
Articles
Latest reading by topic.
Browse selected articles and resources organized around the four core areas of the brief.
New AI Tools
Product launches and workflow tools that may affect research, analysis, productivity, and financial decision-making.
Introducing ChatGPT for Excel and new financial data integrations
How AI tools are moving into spreadsheet-based modeling, financial research, and analysis workflows.
Agents for financial services
Examples of AI agents designed for document review, research support, and financial services workflows.
Build and edit complex spreadsheets with Gemini in Google Sheets
An example of AI entering everyday productivity tools used for analysis, formulas, summaries, and reporting.
Introducing ChatGPT agent
A look at agentic AI systems that can complete multi-step research and workflow tasks under human direction.
Industry Adoption
Research and commentary on how asset managers, wealth firms, banks, fintech companies, and institutions are putting AI into practice.
Rebuilding Asset Management for an AI-First World
How asset managers are rethinking operating models, productivity, and growth strategies around AI.
How artificial intelligence is shaping asset management
A view of how asset managers are adopting AI and where barriers remain in investment decision-making.
More than two-thirds of investment managers prominently using AI
A data point on AI adoption across investment management operations and technology priorities.
Investment management industry outlook
Connects AI with cost pressure, competitive advantage, product evolution, and broader investment management trends.
Regulatory Developments
Selected materials on AI governance, supervision, disclosure, compliance, cybersecurity, and investor protection.
Examination Priorities
Regulatory priorities related to technology, AI-related risks, cybersecurity, compliance controls, and adviser obligations.
GenAI: Continuing and Emerging Trends
A regulator perspective on generative AI use and the compliance obligations that continue to apply.
Supervisory Toolkit for AI Use in Capital Markets
A global regulatory resource on supervising AI systems in capital markets and maintaining market integrity.
AI and the FCA: our approach
How a major regulator is thinking about safe, responsible, and practical AI adoption in financial markets.
Investment Applications
Practical examples and research related to AI in investment research, due diligence, portfolio management, reporting, risk, and operations.
AI in Investment Management Outlook
A practitioner-oriented view of AI trends in investment management, including productivity, agentic systems, and human judgment.
AI Applications in the Securities Industry
A map of AI use cases across broker-dealer functions, investment processes, customer communications, and operations.
Artificial intelligence and investment management
An academic review connecting AI with portfolio optimization, forecasting, risk assessment, advisory services, and compliance.
Integrated machine learning framework for dynamic portfolio management
A research example applying machine learning to asset selection, return prediction, and portfolio allocation.
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