Semiconductor vs. Software Trades Reflect Contrasting AI Market Views
Goldman Sachs' Tony Pasquariello highlighted an inverse trading pattern between the semiconductor sector, represented by SMH:NASDAQ, and software stocks like IGV. This trade has been dubbed a 'photographic negative,' reflecting diverging investor sentiment on artificial intelligence (AI) moats—companies with durable competitive advantages in AI development. Prime brokerage data over ten years shows that long exposure to semiconductors is being offset by short positions or reduced bets in software, suggesting investors are hedging their views based on perceived risks and opportunities within the evolving AI landscape. The trade underscores a strategic shift as markets reassess which sectors will benefit most from advancements in AI technology. This inverse positioning could signal broader market uncertainty about where long-term value lies in the AI ecosystem—whether it's with hardware providers or software innovators.
