As artificial intelligence models become more sophisticated, asset owners and managers are rethinking portfolio construction as an activity sitting at the nexus of human and machine, which means gaining an edge over the market increasingly needs investors to tap into the wisdom from both sources.
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”.
As universal owners, pension funds can’t diversify away from the risk that biodiversity loss poses to the companies they invest in. A global, co-ordinated effort to push for better policy settings is underway, and a growing number of investors are recognising that halting and reversing biodiversity loss is an issue that demands immediate
Making more accurate predictions is the key to investing successfully. AI is a tool well suited to this task, and while it’s already proving its worth in practice and even as major pension fund investors continue to roll it out, they recommend caution and setting out clear use cases.
Success in AI integration may vary for different investors, as some asset owners are reaping alpha benefits while others look for administrative excellence. The Fiduciary Investors Symposium heard how three major institutional asset owners define and measure AI success.
HESTA's CIO Sonya Sawtell-Rickson and Willis Towers Watson’s Roger Urwin are guiding a transformation at the fund, including adopting a total portfolio approach and planning an innovation lab.
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