Firms release guide on scaling portfolio management with AI
Consultancy Alpha FMC and AI firm MDOTM Ltd have released a joint whitepaper on using AI to scale custom model portfolio management. The paper focuses on how asset and wealth managers can use AI-driven delivery to ensure consistency with investment views and manage scalable portfolio distribution.
- The whitepaper highlights a strategic shift in asset management away from manual, spreadsheet-based portfolio management toward integrated, AI-powered workflows with API-driven connectivity for real-time distribution. - London-based co-author MDOTM Ltd., the only European fintech selected for a Google Silicon Valley accelerator program, employs a team of physicists and data scientists to build its AI platform, Sphere. - Sphere, the AI platform from MDOTM, enables the mass customization and rebalancing of thousands of investment portfolios, while its "Storyfolio" feature uses Generative AI to automate the creation of tailored client reports and market commentaries. - The push for AI adoption addresses the growing unsustainability of manual workflows as portfolio complexity increases; however, challenges include integrating AI with legacy technology and fragmented data architectures. - While most firms are focused on traditional AI and generative AI, the next evolution is toward "agentic AI," where autonomous agents manage complex tasks end-to-end; currently, less than 10% of firms use agentic AI, but 18% plan to adopt it within three years. - The industry faces significant ethical and security challenges with AI, including the "black box" nature of decision-making and data security; a recent CFA Institute survey found that 85% of investment sector employers believe industry-wide ethical standards for AI are needed. - According to a 2025 outlook report from Alpha FMC, key industry trends shaping the need for AI-driven scale include the convergence of public and private markets, driving operational efficiency, and maintaining regulatory agility. - The broader market context for this push is significant, with global assets under management (AUM) projected to reach $171 trillion by 2028, and 80% of asset and wealth management firms believing that disruptive technologies like AI will be a primary driver of revenue growth.
