LTIMindtree vs Infosys: which job is safer?
Layoff risk for Engineering roles in India, scored this morning from confirmed layoffs, WARN filings, earnings, hiring and news signals.
LTIMindtree vs Infosys, signal by signal
| Signal | LTIMindtree | Infosys |
|---|---|---|
| Layoff risk score | 30 / 100 | 32 / 100 |
| Risk band | MODERATE | MODERATE |
| 7-day move | 0 | +1 |
| 30-day move | 0 | 0 |
| Confirmed layoffs (1 yr) | 0 | 0 |
| Disclosed roles cut (1 yr) | 0 | 0 |
| WARN notices (7 d) | 0 | 0 |
| Layoff headlines (7 d) | 0 | 0 |
| Employee sentiment | stable | stable |
| Employee-reported layoffs (30 d) | 0 | 1 |
| Employee mood votes (30 d) | — | 1 · 0% worried |
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 LTIMindtree to Infosys?
LTIMindtree scores 30/100 (moderate risk) against Infosys's 32/100 (moderate) for Engineering roles in India — a 2-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 LTIMindtree's risk score held flat and Infosys's held flat. 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 there is nothing to separate them: neither LTIMindtree nor Infosys has a confirmed layoff on record 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: Infosys 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 LTIMindtree and stable at Infosys, though on only 1 employee report between them in the last 30 days. 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.