The AI Bill Arrives: Tokens, Model Routing and the Cost of Switching Models
Fund AI vendors are now selling cost control as hard as capability. We look at token waste, model routing and swappable models, and what funds should ask about the AI bill.
Anthropic vs OpenAI for In-House Alpha Tooling
Man Group put Claude at the centre of its investment process. We compare Anthropic and OpenAI for hedge funds building proprietary alpha tooling in-house, rather than buying it from a vendor.
Faster, cheaper, easier to audit: a quick guide to decision models
A quick guide for hedge fund and private markets COOs: what decision models are, how they differ from LLMs, and where they cut cost, speed up work and ease audit.
Buy, Not Build: Buy-side AI’s Late-Summer Acquisition Wave
Three acquisitions in three weeks show fund AI vendors buying capability rather than building it, plus what OpenBB’s open-source pivot says about the pressure underneath.
Who’s Connecting to Whom: An AI Vendor Partnership Map, Late June to July 2026
A map of the partnerships and integrations announced across AI vendors serving hedge funds and private market funds between mid-June and late July 2026, and what the pattern says about where the ecosystem is consolidating.
The Unstoppable Rise of AI Agents: Revolutionizing Investment Management
AI agents are transforming alternative investment management by automating tasks, enhancing decision-making, and personalizing client interactions. With capabilities like memory, learning, and autonomy, they optimize portfolios, streamline operations, and improve risk management. Their integration marks a major shift, making firms more agile, efficient, and competitive in a data-driven world.
Buy vs. Build AI Systems – A Vital Decision
Generative AI and AI agents are reshaping investment management. Firms must weigh buying ready-made solutions for speed and cost-efficiency against building custom systems for control and competitive edge. The “buy vs. build” decision hinges on integration, scalability, security, and strategic fit—guiding future AI adoption.