AI, humans and the new age of asset management

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Pension funds confront the question of who owns AI

Pension funds confront the question of who owns AI

As the use of AI within asset owners evolves, organisations are grappling with the governance question of where the strategy and accountability sit. Darcy Song looks at the treatment of AI organisationally within a number of high-profile funds, including OTPP, AustralianSuper, CPP and Norges Bank.

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CPP Investments on how AI redefines core investing roles and processes

CPP Investments’ trials show AI agents can handle key investment tasks end-to-end. In an interview, chief operating officer Jon Webster says tight governance, and the right human oversight, is the difference between breakthroughs and mistakes.

HESTA prepares AI investment framework for total fund clarity

The A$98 billion ($64 billion) Australian super fund HESTA is laying the groundwork for a more systematic framework for using AI across its total portfolio, solidifying use cases in research, forecasting, risk management and private assets that all centres on the objective of “seeing risks earlier and clearer”.

NBIM on AI cultural and organisational integration

By the evening of August 7, the same day GPT-5 was launched by Open AI, NBIM had it available to the entire organisation in a secure and scalable way. Joined on stage by CEO Nicolai Tangen at this year's Arendalsuka, the team behind AI integration explains their aggressive approach.

Responsible AI: Railpen lays out the risks

Much is written extolling the investor opportunities inherent in AI at a time policy makers continue to prioritise deregulation and innovation over safety, but a new report from £34 billion Railpen on the risks AI holds for investors' portfolio companies provides a valuable reality check.

AP4: Why a dynamic, shorter term allocation is paying off

Volatile markets have provided a rich hunting ground and opportunistic best ideas have come thick and fast for AP4’s new five-pronged global allocation made up of systematic equity, currency and rates, asset allocation, hedge funds/external mandates and analysis. Magdalena Högberg explains the risks and opportunities of the best ideas allocation.

Large language models to spark ‘sea change’ in investment analysis

Andrew Lo, finance professor at the MIT Sloan School of Management, believes large language models can bridge the gap between fundamental and quantitative investing in a way that was unfathomable five or 10 years ago, and create ‘quantamental’ investment strategies which would bring together the best of both worlds.