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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 Financial Services
A finance-focused workspace combining advanced reasoning, built-in financial data, traceable citations, and firm templates for research, modeling, and client materials.
Bloomberg Extends ASKB to Mobile
Bloomberg brings its AI-powered research assistant to mobile so financial professionals can continue investigating market questions away from the desktop.
Copilot in Excel: Built for the Era of Frontier Finance
New finance skills, institutional data connectors, planning controls, and change attribution support more traceable AI-assisted modeling and analysis in Excel.
Agents for Financial Services
Ten finance agent templates cover workflows such as earnings review, model building, valuation checks, market research, KYC screening, and month-end close.
Industry Adoption
Research and commentary on how asset managers, wealth firms, banks, fintech companies, and institutions are putting AI into practice.
AI in Active Fund Management: The State of Adoption in 2026
Research across roughly 3,200 strategies finds that generative AI is accelerating investment research while direct use in investment decisions remains more limited.
AI Is Rewiring the Engine of Finance
Examples from MUFG and Santander show financial institutions moving from pilots toward scaled uses in administration, risk assessment, fraud detection, and operations.
Building Responsible, Human-Led AI at Scale
BNY and the University of Manchester launched a five-year alliance focused on applying AI to operational challenges while strengthening governance, skills, and change management.
AI at LSEG: Trusted Data and Production Workflows
LSEG outlines AI deployment across financial data products, data extraction, customer support, productivity, resilience, and partner-enabled agent workflows.
Regulatory Developments
Selected materials on AI governance, supervision, disclosure, compliance, cybersecurity, and investor protection.
Fiscal Year 2026 Examination Priorities
The SEC identifies automated investment tools, cybersecurity, data protection, emerging technology controls, and related adviser obligations among its examination priorities.
GenAI: Continuing and Emerging Trends
FINRA reviews developing generative AI uses and reminds firms that existing supervision, recordkeeping, communications, privacy, and risk-management obligations still apply.
Sound Practices for Responsible AI Adoption
The FSB consultation addresses governance, data and model risk, third-party dependencies, operational resilience, skills, monitoring, and human oversight.
AI and the Future of Retail Financial Services
The Mills Review considers how AI may reshape retail financial services and what responsible adoption requires for consumer outcomes, competition, trust, and oversight.
Investment Applications
Practical examples and research related to AI in investment research, due diligence, portfolio management, reporting, risk, and operations.
AI in Investment Management: 2026 Outlook, Part II
Two Sigma practitioners examine AI-assisted research, feature creation, autonomous agents, backtest contamination, overfitting, monitoring, and human judgment.
Auditable Evaluation for LLM Portfolio-Management Agents
A new benchmark tests portfolio agents with point-in-time data, enforceable risk constraints, trading-cost sensitivity, leakage checks, and auditable run records.
Thematic Outlook: The Expanding AI Economy
BlackRock examines investment opportunities as AI moves beyond infrastructure toward adoption, power, materials, robotics, health care, digital assets, and the real economy.
Global AI Investment Is Forecast to Exceed $1 Trillion in 2026
Goldman Sachs Research estimates the scale and geographic distribution of AI-related capital spending and explains why the investment cycle matters for markets.
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