52% of family offices are riding the AI wave through public equities and ETFs—only ~25% are going direct into AI startups.
According to Goldman Sachs’ survey of 245 family offices, nearly 9 in 10 report some form of AI exposure. As Meena Lakdawala-Flynn notes, “the top nine out of ten stocks in the S&P are AI-driven stories,” representing roughly 40% of the index—suggesting AI exposure is often larger than principals realize.
Public market AI plays are favored due to more tempered valuations versus private deals, where many companies still need to “grow into” prior entry prices. At the same time, allocators increasingly target companies that leverage AI for productivity (38%) and secondary beneficiaries like energy providers (32%), with 27% anticipating overweight positions in energy/materials over the next 12 months.
For family offices and HNWI stewards, the strategic question isn’t “AI or no AI,” but where along the stack to take risk: core index-heavy exposure, AI-adjacent operators (productivity and infrastructure), or selective private opportunities—mindful that a backlog of ~800 unicorns may lengthen liquidity timelines compared to pre‑pandemic norms.
How are you calibrating AI exposure across public equities, AI‑enabled operators, and private deals—and what risk controls feel most relevant in today’s valuation and exit environment?
According to Goldman Sachs’ survey of 245 family offices, nearly 9 in 10 report some form of AI exposure. As Meena Lakdawala-Flynn notes, “the top nine out of ten stocks in the S&P are AI-driven stories,” representing roughly 40% of the index—suggesting AI exposure is often larger than principals realize.
Public market AI plays are favored due to more tempered valuations versus private deals, where many companies still need to “grow into” prior entry prices. At the same time, allocators increasingly target companies that leverage AI for productivity (38%) and secondary beneficiaries like energy providers (32%), with 27% anticipating overweight positions in energy/materials over the next 12 months.
For family offices and HNWI stewards, the strategic question isn’t “AI or no AI,” but where along the stack to take risk: core index-heavy exposure, AI-adjacent operators (productivity and infrastructure), or selective private opportunities—mindful that a backlog of ~800 unicorns may lengthen liquidity timelines compared to pre‑pandemic norms.
How are you calibrating AI exposure across public equities, AI‑enabled operators, and private deals—and what risk controls feel most relevant in today’s valuation and exit environment?