This is the episode four of four we did in partnership with Finance Montreal, recording panelists at their Sustainable Finance Summit. And, fittingly, this last one is on AI.
In this episode, Rheia Khalaf, who leads financial sector collaborations at Mila - Quebec Artificial Intelligence Institute, discusses what she sees when a large, traditional company - the kind that turns like a tanker - decides to bring AI into its systems. She explains why the gap is rarely the technology itself but the governance that can't keep pace with it, from the concentration risk of leaning on a handful of major providers to the "shadow AI" and confidentiality gaps that open up when everyone is vibe coding. She also weighs the other side of the ledger - drug discovery, better climate prediction - against the real environmental cost of the data centers, and the water, energy and materials, that power it all.
You'll also hear from Harlan Tufford of MSCI Sustainability & Climate, on a new model he and his colleagues are building to assess which industries AI is most likely to disrupt - and support. He explores the tension between efficiency gains and job loss, why a figure like sixty percent of labor being automatable is a hypothetical maximum rather than a forecast, and how a company's economic moat decides whether the benefits of automation flow to the company, its competitors, or its customers. He also gets into what gets priced in first - the chatbots automating knowledge work, or the robots that come after.
Enjoy!!
Host: Mike Disabato, MSCI Sustainability & Climate
Guests: Rheia Khalaf, Mila – Quebec Artificial Intelligence Institute; Harlan Tufford, MSCI Sustainability & Climate