Baillie Gifford LTGG Investment Manager Douglas Jack: No Sector Coverage, Let Curiosity Find the Exceptions
LTGG investment manager Douglas Jack explains why the fund deliberately avoids assigning sector research coverage, and how three principles—curiosity-driven exploration, permission to be wrong, and deep on-the-ground engagement—work together to identify the few truly exceptional companies.
Facing a candidate pool of approximately 4,000 to 5,000 companies, no one can pretend to cover them all. Douglas Jack, an investment manager for Baillie Gifford’s Long Term Global Growth (LTGG) fund, frankly admits that LTGG lacks a rigid, step-by-step idea generation process—a fact that sometimes makes explaining their approach to outsiders difficult. Instead, he focuses on several principles he believes distinguish LTGG from other managers, explaining why these principles contribute to long-term outperformance.
With roughly 4,000 to 5,000 candidates currently under consideration, LTGG does not pretend to cover every name. Jack argues that the traditional practice of assigning each analyst a specific industry has two fundamental flaws. First, exceptions are not evenly distributed across the economy; locking someone into a 'box' with nothing interesting to see is pointless. Second, this allocation creates poor incentives: analysts feel pressured to constantly pitch mediocre names just to appear busy. Since LTGG’s mandate is to invest in a small number of key outliers, any time spent away from high-probability candidates harms returns.
Consequently, LTGG analysts are all generalists, with no one holding formal 'coverage.' However, everyone has technologies, industries, or themes they follow closely over time—Jack looks around the office and sees deep expertise in luxury goods, robotics, payments, semiconductors, AI, and cryptocurrency. No one is forced to learn these topics; instead, they are encouraged to 'follow their noses' and pull on threads that interest them.
Jack cites a specific example: the analyst who first brought Nvidia to the team in 2016 was initially interested because of VR headsets, not because she was assigned as a semiconductor analyst. While researching Nvidia, she pulled on the AI thread a bit further and realized, though ultimately underestimating the scale, just how profound a change it could bring.