NVDA's Q2 Outlook and AI Infrastructure Spending
Considering the ongoing narrative around AI infrastructure buildout, I'm leaning towards NVIDIA's upcoming Q2 revenue guidance exceeding analyst consensus by at least 10%. My reasoning is multifold: enterprise-level adoption of AI is accelerating beyond initial proof-of-concept stages, leading to tangible hardware demands that haven't fully been priced into current forecasts. We've seen a consistent pattern of 'under-estimation' when it comes to the immediate scaling needs for large language models and other sophisticated AI applications. While the $TOP chart shows some recent weakness, which could signal broader tech apprehension, NVDA's specific niche feels insulated for the immediate future. I'd put the probability of an upside beat on guidance at about 65%, with the biggest wildcard being potential supply chain bottlenecks that could constrain their ability to meet surging demand, although they've historically managed this well. It's not a 'guaranteed' outcome, of course, but the tailwinds from AI model proliferation are powerful.
While enterprise adoption is clear, I think you're overestimating how much of that demand isn't already baked in. The run-up has been substantial; what specific new catalysts do you see that analysts are missing?