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Lynx Equity sees Nvidia stock gaining on Computex keynote catalyst By Investing.com

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Lynx Equity sees Nvidia stock gaining on Computex keynote catalyst By Investing.com

Lynx Equity turned positive on Nvidia ahead of the Computex keynote, saying the event could help address recent underperformance and support the stock. The firm highlighted Nvidia’s 53.96% one-year return, 32.78 P/E, and 0.29 PEG, while noting shares trade below fair value and could benefit from updates on a $20 billion CPU revenue opportunity, a $200 billion CPU TAM, and Rubin ramp plans. Other headlines included new AI-related deals for Cadence, Groq, and Iren, reinforcing continued investor focus on AI infrastructure.

Analysis

The setup is less about a single keynote and more about whether NVDA can re-assert control of the AI stack narrative before multiple adjacent beneficiaries start repricing as substitutes. If management credibly expands the addressable market beyond GPUs into CPUs, networking, and platform software, it can compress the valuation gap versus peers by reframing the story from component leader to systems orchestrator; that matters because the market is already rewarding “picks and shovels” adjacencies faster than the core name. The near-term asymmetry favors NVDA because positioning is likely still cautious after the recent relative underperformance, so even modestly better-than-expected messaging can force a sharp multiple rebound over days, not months.

The second-order winner is probably TSM, not because of direct event upside, but because a stronger NVDA ecosystem narrative increases forward wafer demand visibility and strengthens utilization expectations across leading-edge nodes. CDNS also benefits if the market starts valuing AI infrastructure as a longer-dated buildout rather than a near-term capex spike; design-tool demand tends to lag platform rhetoric by a few quarters, but the rerating can begin immediately when customers signal multi-generation roadmaps. DELL is a lower-quality but more levered expression of the same trade: if AI infrastructure spending broadens from accelerators into full racks and integrated systems, hardware assemblers get incremental order visibility without needing to be the innovation driver.

The contrarian risk is that the market may already own the “AI is broad enough for everyone” argument, and the event could disappoint if the messaging stays aspirational without hard ramps or order data. In that case, NVDA could underperform again while capital rotates into higher-conviction enablers with clearer near-term monetization. The hidden downside is that any softness in the rubric around Rubin timing or networking economics would reinforce fears that hyperscaler ASICs are eating into pricing power, which would hit the multiple faster than it hits revenue.