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3 Beaten-Down AI Chip Stocks Worth Buying in the Selloff — Nvidia at 29x Is Below Its Historical Average

Nvidia trades at ~29x earnings — below its 12-month average — as a sector selloff punished quality AI chip names alongside weaker ones, creating an entry point while AI data center buildout remains intact.

Sarah Williams
Banking & Finance Desk
·Published Jun 28, 2026, 5:18 AM UTC· 1 min read🤖 AI-Synthesized

TLDR

  • Nvidia at 29x earnings — below historical avg of 35-40x — as AI chip sector selloff creates valuation entry point
  • AMD MI300 and Broadcom custom ASICs offer diversified AI chip exposure beyond Nvidia alone
  • Hyperscaler capex announcements and Nvidia quarterly results are the forward signals that confirm or deny AI demand trajectory
Editorial Self-Review·76/100Publish tier
Strengths
  • Two-source coverage with specific Nvidia P/E data point (29x vs 35-40x historical avg) anchoring the valuation case
  • Multi-name AI chip thesis (Nvidia, AMD, Broadcom) provides diversified buy thesis beyond single-stock speculation
  • Sector selloff mechanics well-explained: indiscriminate selling creates quality-vs-momentum mismatch opportunity
Considered limitations
  • Both sources likely share same underlying Motley Fool analysis — limited independent corroboration
Our AI editor's self-review of this synthesis. We show our work — including where coverage is limited or sources are thin — so you can weight insights accordingly.
Ticker context · $NVDA
Full $-page →
📅 Next earnings
In 8 weeks·Aug 25, 2026(After Close)
EPS estimate: $2.12
Revenue estimate: $93.50B

Why this matters

Coverage sentiment: Bullish (1 bullish · 0 neutral · 0 bearish)

India's AI chip policy — the India Semiconductor Mission targeting domestic chip design and packaging — directly intersects with the global AI chip demand story; Nvidia's valuation correction creates a potential window for Indian institutional investors to build AI chip exposure through global indices and US-listed ADRs.

What to watch

  • Nvidia next quarterly earnings and forward data center revenue guidance as the definitive confirmation of AI infrastructure demand trajectory
  • AMD MI300 shipment volume and market share data in the data center AI accelerator segment

Ripple effects

  • AMD MI300 series gains market share in data center AI as Nvidia supply constraints push hyperscalers to diversify — AMD benefits from any Nvidia supply shortfall

AI-Synthesized news from multiple sources

This article was synthesized by AI from the source articles listed below, reviewed by a second-pass AI quality reviewer, and published by the market.news editorial system. How we do this · Editorial standards · Report an error

The Quick Take

  • Nvidia (NVDA), AMD, and at least one other major AI chip company now trade well below their recent highs following a sector-wide selloff that affected the best names alongside the worst
  • Nvidia at approximately 29x earnings — below its historical average valuation — represents a potential entry point for investors who believe the AI infrastructure buildout remains intact
  • Sector selloffs create opportunities to buy quality AI chip names at discounts that typically close when earnings data confirms the demand trajectory is uninterrupted

A market analyst at Nasdaq/Motley Fool has identified three beaten-down AI chip stocks worth considering following a sector-wide selloff. The analysis focuses on Nvidia, which the analyst notes is trading at approximately 29 times earnings — meaningfully below its average valuation over the past year. This valuation compression is the result of a broad sector selloff that pulled down AI chip stocks indiscriminately, affecting premium franchises like Nvidia alongside lower-quality names. The analyst's argument is that market selloffs that treat all names in a sector equally create temporary mispricings that attentive investors can exploit.

The three AI chip opportunities identified reflect different parts of the semiconductor supply chain serving AI demand. Nvidia's case rests on the combination of below-average valuation and unchanged fundamental demand from hyperscaler data center buildout — Microsoft, Amazon, Google, and Meta continue to announce massive AI infrastructure investment plans that require Nvidia's H100/H200/Blackwell GPU generations in large volumes. The selloff appears to have been driven by profit-taking and macro concerns rather than any negative data on actual AI chip shipment volumes or Nvidia customer commitments. At 29x earnings vs. 35-40x average, there is a genuine valuation case even for a momentum-driven growth stock.

Beyond Nvidia, the beaten-down AI chip thesis typically extends to companies like AMD (second-largest discrete GPU maker, growing market share in data center AI with MI300 series chips) and Broadcom (AVGO, which designs custom AI accelerator chips for hyperscaler customers like Google and Meta). A sector selloff that creates entry points across the supply chain — GPUs, networking chips, custom ASICs — allows investors to build diversified AI infrastructure exposure rather than concentrating in Nvidia alone. The critical forward signal is upcoming Nvidia and AMD quarterly results, which will confirm or deny whether the AI data center spending wave remains on track.

Synthesized from 2 sources.

AI Indicators

Market Intelligence Panel

Sentiment

Bullish
🟢 10🔴 0

Coverage

live
2

sources covering this story

T1: 0T2: 1T3: 1

Live Price

NVDA

🌍 India / Asia Angle

India's AI chip policy — the India Semiconductor Mission targeting domestic chip design and packaging — directly intersects with the global AI chip demand story; Nvidia's valuation correction creates a potential window for Indian institutional investors to build AI chip exposure through global indices and US-listed ADRs.

🌊 Ripple Effects

  • AMD MI300 series gains market share in data center AI as Nvidia supply constraints push hyperscalers to diversify — AMD benefits from any Nvidia supply shortfall
  • Broadcom (AVGO) custom AI ASIC chips for Google and Meta represent a growing alternative to standard GPU architectures — custom silicon tailwinds benefit AVGO regardless of NVDA valuation
  • TSMC (TSM) as the foundry manufacturing AI chips for Nvidia, AMD, and Broadcom — AI chip sector health directly translates to TSMC wafer revenue and capacity utilization

🔭 What to Watch Next

PRO
  • Nvidia next quarterly earnings and forward data center revenue guidance as the definitive confirmation of AI infrastructure demand trajectory
  • AMD MI300 shipment volume and market share data in the data center AI accelerator segment
  • Hyperscaler capex announcements (Microsoft, Amazon, Google, Meta) for 2026-2027 as the demand pipeline signal for all AI chip companies

Market news synthesis. Not financial advice. Sources cited above.

Timeline

How the Story Spread

2 publishers · 1 time windows
Jun 27, 3:00 AMNow · 1d ago
+2 sources · total: 2
All Sources

2 publishers covering this story

Tier 2: 1 Tier 3: 1

AI synthesis of every source listed below. Tier 1 = wire services (AP, Reuters via wire, Bloomberg, official central banks). Tier 2 = major financial publishers. Tier 3 = niche / specialist outlets. Click any card to read the original article.

● Tier 3 — Niche & specialist

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