WSIB staff outline AI‑exposure framework for the commingled trust fund, flagging concentration risk

The Washington State Investment Board received an education briefing on how artificial intelligence could affect the Commingled Trust Fund. Staff described a two‑category framework: "direct" exposures (technology providers, hyperscalers, data centers, key chipmakers) and "indirect" exposures (users of AI across industries), and presented a qualitative and quantitative mapping across public and private assets.

"The direct AI exposure category comprises about 14% of the CTF," said Chris Haneck. Staff emphasized concentration risk in public equity (the largest share of direct exposure) and the potential for both a boom scenario (successful productivity adoption) and a bust scenario (capital deployed too quickly, adoption lagging, or regulatory constraints). The board discussed regulatory sensitivity, infrastructure bottlenecks (power, chips, data‑center capacity), and the need for scenario planning that includes geopolitical and workforce impacts.

Staff described the work as an initial framework that will evolve with more data and manager input. Trustees asked for follow‑up work on scenario analysis, regulatory assumptions and job‑market implications.