LG Doucet speaks with Sparkline Capital founder Kai Wu about why the AI infrastructure trade may be repeating earlier technology booms. Wu argues that rational competition can still produce overbuilding, while debt financing, circular funding and concentrated market exposure make the current cycle more fragile.
The discussion shifts from picks and shovels to where AI’s value may ultimately accrue. Wu sees stronger long-term potential in early adopters that can use AI to improve productivity without taking on massive capital commitments, while warning that simply buying apparent AI laggards risks falling into value traps.
They also examine software moats, competition among frontier models and the role of open source. Wu’s central takeaway is that AI can become essential infrastructure while delivering the greatest consumer surplus and investment gains to the businesses that deploy it effectively.
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