Morgan Stanley analyst Shane Brett has raised his forecast for semiconductor capital equipment spending to $182 billion in 2027, up from $161 billion, signaling an accelerating infrastructure race. The revision suggests the AI supercycle is gaining momentum, creating new winners beyond the dominant chip designers like Nvidia and AMD.

Brett argues that semiconductor equipment makers are entering a phase where their returns could rival those of memory stocks. He specifically highlighted Applied Materials as his top pick in the US equipment sector, despite its shares already surging roughly 54% year to date. The company trades at a discount compared to rivals like Lam Research and KLA Corp, even with its dominant position in the AI memory wave.

While Nvidia recently reported Q4 revenue and Q1 sales that beat Wall Street estimates, the stock tumbled as investors had even higher expectations. This disconnect between strong earnings and stock performance highlights the market's insatiable appetite for AI-related growth. The equipment makers are now cashing in on the AI spending boom, with Applied Materials and Lam Research shares popping following earnings beats. However, concerns remain about how long the current level of AI-driven spending can last if massive profits don't materialize soon.