ASML vs Lam Research: which job is safer?
Layoff risk for Engineering roles in India, scored this morning from confirmed layoffs, WARN filings, earnings, hiring and news signals.
ASML vs Lam Research, signal by signal
| Signal | ASML | Lam Research |
|---|---|---|
| Layoff risk score | 30 / 100 | 29 / 100 |
| Risk band | MODERATE | MODERATE |
| 7-day move | +1 | +1 |
| 30-day move | -3 | -3 |
| Confirmed layoffs (1 yr) | 1 | 0 |
| Disclosed roles cut (1 yr) | 1,700 | 0 |
| WARN notices (7 d) | 0 | 0 |
| Layoff headlines (7 d) | 0 | 0 |
| Employee sentiment | stable | stable |
| Employee-reported layoffs (30 d) | 0 | 0 |
Green marks the safer side of each row. Lower is better on every risk signal except open roles and revenue growth, where more is the healthier reading.
90-day risk trend, side by side
Should you switch from ASML to Lam Research?
ASML scores 30/100 (moderate risk) against Lam Research's 29/100 (moderate) for Engineering roles in India — a 1-point gap, which is inside the noise of a model built from public signals. Use the layoff record and the 30-day trend below to break the tie.
Direction matters as much as level. Over the last 30 days ASML's risk score fell 3 points and Lam Research's fell 3 points. Neither is running away from the other, so the level reading is a real tie rather than a snapshot artefact — watch the trend alongside what employees are reporting.
On confirmed events, ASML has 1 confirmed layoff totalling 1,700 disclosed roles on Jan 28. Lam Research has no confirmed layoff in the past year. Confirmed cuts are the heaviest input to the score and they decay on a half-life rather than expiring, so a large recent round keeps weighing on a company for months while an old one fades gradually.
In the last seven days: ASML added 1 point with no layoff, filing or headline behind it — the move came from the softer inputs the model also reads: news sentiment, share price and hiring activity. Lam Research added 1 point with no layoff, filing or headline behind it — the move came from the softer inputs the model also reads: news sentiment, share price and hiring activity.
Employee sentiment, blended from anonymous reports and the data signals, reads stable at ASML and stable at Lam Research. Sentiment moves earlier than confirmed events but is far noisier, so treat it as a leading indicator rather than a score.
One caveat worth stating plainly: this compares employer-level risk, not your risk. Any engineering role on a revenue-critical team at the riskier company can be safer than a cost-centre role at the safer one. Read the score as the weather, not the forecast for your specific seat.