Nvidia Earnings Ripple: PLTR Surges, Broadcom Eyes OpenAI Chip Win

Nvidia’s strong fiscal second-quarter beat sent ripples well beyond its own stock on Thursday, lifting South Korean equities, boosting Wall Street sentiment, and sharpening investor focus on which AI names benefit next. The moves were uneven, though, with chip stocks broadly mixed even as the macro mood improved.

Key points

• Palantir shares rose 4.8% to $185.93 on August 27, putting PLTR near the top of its 52-week range of $106.37 to $207. GF Value flags the stock as overvalued despite the move.
• AI and chip stocks were largely mixed in the session after Nvidia’s results, with no broad sector surge despite the headline beat.
• Broadcom is seen as a potential beneficiary of OpenAI’s push into proprietary AI chips, according to BNP Paribas analysis.
• Lam Research raised its quarterly dividend 26.9% to $0.33 per share, though GF Value rates LRCX as 112.7% overvalued.
• The Bank of Korea lifted its 2026 growth forecast to 3.3% from 2.6%, citing AI and semiconductor demand as key drivers.

Why did chip stocks shrug off Nvidia’s beat?

Nvidia’s results and outlook exceeded estimates, and futures were green heading into Thursday’s open. Yet chip and AI-related stocks finished the session mixed. This is a recurring pattern after Nvidia earnings: the print removes uncertainty, but investors who bought ahead of results take profits, and the broader sector doesn’t automatically re-rate upward in lockstep.

The KOSPI told a different story. South Korea’s index opened sharply higher on the Nvidia print, with the earnings easing fears of a semiconductor demand slowdown. That matters for names like SK Hynix and Samsung, which supply memory into Nvidia’s GPU stacks. The broader macro read is also constructive: easing Treasury yields added to the positive backdrop for U.S. equities, per NDTV Profit’s pre-market breakdown.

Is Broadcom the quieter OpenAI chip winner?

While Nvidia dominates the AI chip conversation, BNP Paribas has flagged Broadcom as a lesser-known but meaningful beneficiary of OpenAI’s effort to develop its own custom silicon. The logic is straightforward: custom AI chips from hyperscalers and large model developers still require networking, custom ASIC design, and infrastructure components where Broadcom holds strong positions. OpenAI’s Jalapeño chip (reported in prior coverage) doesn’t displace Nvidia overnight, but it does expand the addressable market for firms that help build out custom silicon pipelines.

Separately, a Seeking Alpha roundup of semiconductor stocks to watch noted Nvidia’s reported deal with Hugging Face as another signal of the company expanding its AI software and ecosystem footprint, alongside its hardware dominance. That kind of vertical integration is worth tracking for investors trying to gauge whether Nvidia’s moat widens or creates openings for rivals.

What do Palantir’s move and Lam’s dividend signal?

Palantir’s 4.8% single-session gain to $185.93 is notable given the stock was already deep into its 52-week range. The GF Score of 81 out of 100 and the overvaluation flag from GF Value suggest the market is pricing in continued AI government and enterprise contract growth at a premium. Investors should weigh that the stock has already run hard from the $106.37 low end of its range.

Lam Research’s 26.9% dividend hike to $0.33 per share is a different kind of signal. Dividend increases of that magnitude from a capital equipment supplier typically reflect management confidence in sustained order flow. Lam’s tools are central to advanced node chip manufacturing, meaning the company is betting that AI-driven fab investment remains robust. The overvaluation warning from GF Value is the counterpoint: the market may already be pricing in that optimism.

One early-stage development to flag: startup Agentrys closed a $24.5 million funding round to build AI agents that automate chip design workflows. The round is small relative to the names above, but it reflects a growing bet that AI can compress semiconductor R&D timelines, which would have downstream effects on how quickly new chips reach production.

This article is for informational purposes only and does not constitute investment advice.