David Bell, executive director of the Conexus Institute, reflects on the key themes of the Fiduciary Investors Symposium held at the University of Toronto last month including AI and its applications, the importance of governance for a strong pension model and common challenges faced by asset owners.
AI – fascinating developments, important core messages
The AI vertical stream (overviewing the technology, the investment opportunities, and the use opportunities for pension funds) was a feature of the symposium program.
Professor Ajay Agrawal’s keynote was my symposium highlight. By sharing his extensive AI domain knowledge through the filter of economic discipline, some important messages emerged:
- AI is all about prediction. Not all predictions made by AI will have equivalent levels of fidelity, something we need to be cognisant of. For instance, I am grounded by the difficulties of forecasting markets with any accuracy, so would be hesitant to rely strongly on AI. A nuanced trade-off between model insights and model transparency emerged through case studies. This needs to be balanced along with associated governance challenges.
- Focus on business outputs not inputs. Clarity on what you are trying to achieve with AI (business outputs) is a first step which will determine what AI inputs are required.
- Be aware of both point solutions and system solutions. Point solutions are those which affect part of a process, delivering productivity benefits. Here an investment application could be use of AI to review the data room associated with a private deal. System solutions are wholistic re-imaginings of how an output can be delivered, with transformational benefits. It is difficult to envisage system solution opportunities amongst asset owners due to…
- Friction of AI adoption will be greatest in regulated industry sectors. Regulated sectors will likely experience the greatest scrutiny around their use of AI. Pension funds and other asset owners generally fit in this category.
- The opportunity for clear market leadership (via the user feedback loop) explains the strong (and investment) focus by companies on AI. This presents an interesting investment dynamic for asset owners: a likely substantial dispersion between winners and losers, warranting consideration of a thematic opportunity but also an important implementation consideration (active vs passive).