Paul Wick, co-manager of the $19.6 billion Columbia Seligman Technology and Information Fund, warned that investors are getting ahead of themselves on early-stage companies pitching on-site nuclear power for hyperscale data centers as generative AI scales. He criticized nuclear stocks as premature plays on AI’s energy demand and urged investors to consider alternative, more proven ways to participate in the AI-driven energy opportunity, signaling caution toward small-cap nuclear propositions.
Contrarian angles: Consensus underestimates grid friction — renewables + storage wins require transmission upgrades that can take 2–5 years, leaving room for flexible gas or contracted behind-the-meter solutions to capture interim demand. The market may be over-penalizing established nuclear/uranium names that already have long-term contracts; cap-weighted mispricings could create 12–24 month mean-reversion trades. Historical parallel: gas cycle 2000s — initial malaise followed by utility re-rating when capacity shortfalls became clear; monitor PPA price moves (> $30/MWh as a trigger) and DOE funding (> $500m) as inflection points.
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mildly negative
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