Mike Trigg and Sanjay Ayer – The Discipline of Getting Better at WCM (EP.467)

Episode Summary

Executive Summary: WCM’s Mike Trigg and Sanjay Ayer explain how a painful 2022-23 drawdown became a catalyst to sharpen their growth process: re-centering on forward-looking moat trajectory, broadening idea generation, tightening portfolio construction, and using AI as a research partner. They also discuss culture, lean team design, private markets expansion, and how adaptability helped WCM emerge stronger.

Main Topics: Navigating the 2022 performance setback (Priority: 5/5): The firm describes 2022 as its hardest performance year and a humbling period that forced introspection rather than defensiveness. They frame the drawdown as a necessary reset that exposed weaknesses in portfolio concentration, idea breadth, and the assumption that prior winners would keep winning. Reframing moat trajectory and portfolio construction (Priority: 5/5): WCM concluded that backward-looking quality had become too correlated with forward-looking quality in the prior cycle. The team refocused on whether companies are actually improving, added categories and guardrails, and used portfolio diagnostics to reduce correlation and improve breadth. Culture, trust, and team operating changes (Priority: 4/5): The conversation emphasizes trust, transparency, and psychological safety during difficult periods. WCM reduced meeting sizes, instituted weekly written check-ins, and encouraged more peer leadership so the team could adapt quickly without bureaucracy. AI as a research and workflow partner (Priority: 4/5): WCM is integrating AI in a philosophy-aligned way to help codify moat trajectory and culture, widen research coverage, and free analysts for higher-value judgment. The firm uses internal demos and a weekly stand-up to normalize adoption across the organization. Expansion into private markets (Priority: 4/5): WCM sees private markets as a research extension and a source of synergy with public markets, especially around AI, defense, and industrial themes. Its concentrated, same-team approach is intended to differentiate it from venture firms, hedge funds, and larger bureaucratic asset managers. Leadership, humility, and continuous improvement (Priority: 4/5): Both speakers stress iterative improvement, admitting mistakes, and building a durable organization that avoids preservation mindset. They view 1% daily improvements, mentoring, and serving others as central to WCM’s next chapter.

Key Arguments: Long-termism is important, but it can become a lazy crutch when market conditions structurally change; WCM had to adapt rather than merely wait out the cycle. 2022 broke the prior correlation between backward-looking quality and future quality, so WCM had to reassess which businesses truly had positive moat trajectory. The portfolio had become too correlated because the research funnel had become too correlated; fixing idea breadth required better categorization and portfolio guardrails. WCM’s core values of think different, get better, and serve others gave the firm a stable foundation for change without losing identity. Smaller, more selective meeting groups and weekly written updates improved speed, clarity, and reduced coordination overhead. AI should be used to amplify WCM’s existing philosophy, not as generic productivity software; the edge lies in diagnosing change, not in commodity summarization. Private markets provide useful research synergies and access to earlier-stage signals that can inform public-market investing, especially in AI and defense. Culture assessment should include not just behaviors but the social mechanisms that reinforce them; 'put the cult back in the culture' means diagnosing how organizations sustain behavior over time. Selling great businesses like Costco can still be correct when valuation and moat trajectory no longer justify ownership, especially when better opportunities exist elsewhere. A firm’s ability to evolve during underperformance depends heavily on trust between leaders, clients, and the team, plus a willingness to be transparent about process changes.

Data Points: WCM AUM: $120 billion - Current firm size mentioned in the introduction and discussion of platform scale WCM AUM in 2018: $25 billion - Paul Black’s first appearance on the show when discussing WCM’s earlier growth stage Time since Mike’s prior appearance: 4 years - Used to frame how much the firm changed since the earlier podcast Most difficult performance year: 2022 - Described as the firm’s hardest year performance-wise Seminal internal meeting: October 2022 - Team-wide meeting where WCM began to identify lessons from underperformance Focus list and categories built: 100 categories across about 700 companies - Custom categorization system developed to improve portfolio and idea breadth Weekly written check-in time: Friday at noon - New team process for updates on prior week, current week, ideas, and requests Private markets launch timing: 2022 - WCM says it began serious private-market investing then, avoiding frothy 2020-2021 deals Number of products over $1 billion: 9 - WCM says nine products now exceed $1 billion in assets AI adoption speed: Thousands of reports generated in less than a year - Evidence of rapid internal uptake of WCM’s AI tools Portfolio concentration comparison: High correlation in the portfolio and research pipeline - Core issue WCM says it worked to fix after 2022 Philanthropy matching ratio: 4 to 1 - Helping Hands program matches employee contributions with company funds

Pivotal Quotes: "We need to put the trajectory back in Mo trajectory." — Mike Trigg: The rallying cry that crystallized WCM’s post-2022 reassessment of what quality growth should mean "There are occasions where long-termism is a lazy crutch." — Ted Sides: Framing the episode’s central tension between patience and necessary adaptation "You need to put the cult back in the culture." — WCM team member / referenced by speakers: A recent culture framework refinement emphasizing social reinforcement mechanisms, not just stated behaviors

Implications: The episode shows that durable outperformance can require major process changes, not just patience. For investors, the lesson is to keep evolving research, portfolio construction, and culture as regimes change.