According to a recent LinkedIn post from Canoe Intelligence, 93% of wealth advisors reportedly plan to increase private markets allocations over the next two years. The post highlights that evergreen fund structures are becoming common, while operational processes for managing them appear to lag behind this shift.
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The LinkedIn post points to challenges such as liquidity windows, valuation lag, and fragmented documentation across portals, inboxes, and shared drives. It suggests that many wealth managers still rely on manual workflows that may not scale with rising alternative investment volumes.
Canoe Intelligence’s post references commentary from Oliver Wedlake on what scalable evergreen infrastructure could entail and how AI-driven automation may address these operational hurdles. For investors, this emphasis implies a growing addressable market for technology providers serving wealth and asset managers as private markets penetration increases.
If AI automation can reduce costs, errors, and processing times in evergreen fund operations, firms positioned in this niche could benefit from stronger demand and pricing power. The discussion also underscores an ongoing digitization trend in wealth management, which may influence competitive dynamics among service providers targeting alternative investments infrastructure.

