# Lam Research Beats Earnings and Raises Guidance Amid AI Bubble Fears

> Lam Research reported stronger-than-expected earnings and raised revenue guidance as AI chip demand signals resilience against bubble fears.
- Title: Lam Research Beats Earnings and Raises Guidance Amid AI…
- Summary: Lam Research reported stronger-than-expected earnings and raised revenue guidance as AI chip demand signals resilience against bubble fears. Lam Research…
- Keywords: lam research, ai chip bubble, semiconductor equipment, tsmc, wafer fab equipment, fiscal 2026 earnings, revenue guidance, startups, business, Lam, Research, Beats
- Source: Startup Fortune — https://startupfortune.com/lam-research-beat-earnings-and-raised-guidance-as-chip-bubble-fears-swirl
- Published: 2026-10-21T23:05:28+00:00
- Read time: 1 min
- Topics: lam research, ai chip bubble, semiconductor equipment, tsmc, wafer fab equipment, fiscal 2026 earnings, revenue guidance, startups, business
## Chip Stocks Under Pressure
Chip stocks face concerns about an AI bubble as market sentiment shifts.
## Lam Research Q1 Results
Lam Research reported non-GAAP earnings per share of $2.20, beating Wall Street's $2.18 estimate.
## Revenue Guidance Raised
Lam raised next quarter's revenue guidance to $8.2 billion to $9 billion, exceeding the previous quarter.
## AI Supply Chain Customers
Lam's customers include TSMC, Samsung, Micron, and SK Hynix, key players in the AI supply chain.
## Long-Term Demand Signals
Lam's customers commit capital years ahead, signaling sustained demand beyond short-term market fluctuations.
## Fiscal 2026 Performance
Full fiscal 2:2026 revenue reached $23.23 billion, up 26% from the prior year, with earnings up 35.6%.
## Margin Expansion
Lam's gross margin climbed to 50.5% from 48.7%, and net income rose to $7.27 billion from $5.36 billion.
## Market Reaction
Semiconductor stocks fell amid concerns about AI capital spending sustainability.
## Key takeaway

Lam Research beat earnings per share to $2.20 and raised next quarter's revenue guidance to $8.2 billion to $9 billion despite AI chip market concerns.