Capital Allocators – Inside the Institutional Investment Industry · Ted Seides – Allocator and Asset Management Expert

John Graham – Evolution of the Canadian Model at CPPIB

·55 min·5 clips

A former scientist explains why investing is about predicting the future, not finding definitive answers.

Ted Seides frames the conversation as a follow-up to a prior episode with Jeffrey Rubin, CPPIB's chief investment strategist, which covered the foundational principles of the Canadian model. John Graham begins with his background: he holds a PhD in physical chemistry, spent nine years as a research scientist at Xerox's innovation group (accumulating 25-30 U.S. patents, mostly in photovoltaic solar cells), then pivoted to strategy and capital allocation after the post-dot-com downturn. A headhunter reached him about a role at a young pension fund with about $80 billion AUM and one Toronto office. He joined as a mid-30s associate, viewing the organization as having the governance structure and ambition to become globally great. His career path included portfolio design and investment research, building out the credit group under Mark Jenkins, focusing on esoteric royalty and non-traditional credit, running the broader credit investments department, and finally taking the CEO role about four years ago. On leadership, Graham emphasizes situational leadership -- reading whether the moment calls for directive, pace-setting, empathetic, or coaching styles -- and argues that leading senior leaders requires above all alignment, since delegation without shared objectives creates chaos. He believes strongly in delegating decision-making to people closest to the market, while using the investment committee to maintain accountability. On the Canadian model, Graham describes it as choosing to be an active asset manager that internalizes capabilities where it has cost advantages and partners with the best external managers where it does not, always solving for net returns. He notes the model was pioneered when large external asset managers were much smaller; today the Blackstones of the world have trillions, which changes the competitive dynamics and makes true partnership harder to negotiate. The total portfolio approach, which CPPIB has been building toward, goes beyond simple asset allocation: rather than managing strategies in isolation against benchmarks, the team looks across all public and private holdings simultaneously to optimize total portfolio exposures, ensure the right diversification, and identify unintended concentrations. Graham acknowledges this is a work in progress and requires significant technology and analytical infrastructure. On AI, Graham notes CPPIB is investing in AI both internally (using models to generate investment committee questions, summarize memos, and speed up research) and externally (the portfolio has meaningful AI company exposure, though deliberately less than market cap weight due to concentration risk and their 75-year mandate). Key risks he watches include equity-fixed income correlation breaking down (a pillar of institutional portfolio construction), U.S. dollar behavior in stress periods (which has historically strengthened and diversified CAD-denominated portfolios), and China allocation (which they reduced from 12% to 7% gradually over time). He closes with personal reflections: his first job was at a gas station where he learned there are bad actors in the world. The best advice he ever received was to learn to say no before overcommitting. His biggest investment pet peeve is believing that enough diligence can turn a bad opportunity into a good one. And the life lesson he wishes he had learned earlier is to stop and enjoy the moment rather than always racing toward the next thing.

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