Welcome into StocktwitsTV. Michele Steele sits down with Shay Boloor after Nvidia GTC to answer the question retail traders keep asking: if Jensen is talking about demand doubling and trillion-dollar numbers, why isn’t the stock up 10 percent?

Shay explains the issue is not demand. It’s the timeline and spend velocity. He says the market wanted more specificity on how fast the spending curve accelerates, especially as AI moves from training into inference, where token economics may spread across more architectures and create a bigger second tier. He argues Nvidia is doing what it needs to stay the leader in the inference era, but the market still lacks clean visibility into how efficiency gains and lower token costs translate into revenue density and pricing power.

Michele then asks what breaks Nvidia out of a rangebound tape. Shay’s answer: consumer products. He says enterprises are deploying AI, but consumers still don’t have true AI-native products that flip the narrative, and he frames physical AI as a massive catalyst for Nvidia, just not this year.

The conversation closes on Micron, which Shay calls a key AI bottleneck trade. He breaks down why memory pricing power looks durable, why HBM4 production matters ahead of Micron earnings, and why the stock’s low multiple can be read two ways. He says the tell is margin resilience and guidance, with gross margin expectations climbing to levels that would be unheard of in a typical memory cycle.

Disclaimer: All opinions expressed on this show are solely the opinions of the hosts’ and guests’ and do not reflect the opinions of Stocktwits, Inc. or its affiliates. The hosts are not SEC or FINRA registered advisors or professionals. The content of this show is for educational and entertainment purposes only. Please consult with your financial advisor before making any investment decision. Read the full terms & conditions here: https://stocktwits.com/about/legal/terms/

#stocktwitstv 

Chapters / Timestamps

00:01 - Michele tees up Nvidia GTC and the NVDA frustration