Nvidia: Full Steam Ahead With an Impressive Array of Announcements at CES 2026

Key Morningstar Metrics for Nvidia

• Fair Value Estimate: $240
• Morningstar Rating: ★★★★
• Morningstar Economic Moat Rating: Wide
• Morningstar Uncertainty Rating: Very High

Nvidia NVDA touted its lineup of product innovations at a keynote address at CES 2026 in Las Vegas and hosted a question-and-answer session with financial analysts. The firm’s artificial intelligence roadmap remains on track, with its Vera Rubin products coming to market in the second half of 2026.

Why it matters: We remain highly pleased with Nvidia’s AI roadmap. The company continues to innovate in rack-scale AI solutions, expand its library of open-source AI models to support ecosystem development, and advance physical AI solutions, such as autonomous vehicles.

• Vera Rubin is expected to deliver five times the performance of current-generation Blackwell products for certain AI inference tasks. Nvidia is adding a host of storage, optical, and networking enhancements to Vera Rubin racks.
• Nvidia will also bring a full-stack autonomous driving solution to market in the first quarter of 2026 inside the Mercedes-Benz CLA. AI is becoming increasingly important in autonomous vehicles, and we think Nvidia is uniquely positioned to support existing car makers in physical AI.

The bottom line: We maintain our $240 fair value estimate and Very High Uncertainty Rating for wide-moat Nvidia. Nvidia’s shares appear undervalued, and recent AI bubble concerns seem overdone. We still believe AI demand is quite healthy for Nvidia in the near term.

• One long-term investor concern has been whether the long tail of companies will see benefits from AI over time. We think Nvidia’s expanding library of domain-specific, open-source models is intended to help these developers, making it less likely that any of them will fail in AI.
• Nvidia only briefly discussed its recent licensing agreement with Groq, where it is bringing key assets and employees into the company. We think this is effectively an acquisition of low-latency chipsets that might supplement Nvidia’s future roadmap as AI workloads disaggregate.