Airbnb vs Uber: which job is safer?
Layoff risk for Engineering roles in India, scored this morning from confirmed layoffs, WARN filings, earnings, hiring and news signals.
Airbnb vs Uber, signal by signal
| Signal | Airbnb | Uber |
|---|---|---|
| Layoff risk score | 27 / 100 | 36 / 100 |
| Risk band | MODERATE | MODERATE |
| 7-day move | +1 | -2 |
| 30-day move | -2 | -13 |
| Confirmed layoffs (1 yr) | 0 | 1 |
| Disclosed roles cut (1 yr) | 0 | 0 |
| WARN notices (7 d) | 0 | 18 |
| Layoff headlines (7 d) | 0 | 0 |
| Employee sentiment | stable | stable |
| Employee-reported layoffs (30 d) | 1 | 0 |
| Employee mood votes (30 d) | 5 · 20% worried | 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 Airbnb to Uber?
Airbnb scores 27/100 (moderate risk) against Uber's 36/100 (moderate) for Engineering roles in India — a 9-point gap. What sits behind the gap: Uber has confirmed 1 announcement with no headcount disclosed in the past year against none at Airbnb. Cutting the other way, Uber's risk fell 13 points over the last 30 days while Airbnb's fell 2 points.
Direction matters as much as level. Over the last 30 days Airbnb's risk score fell 2 points and Uber's fell 13 points. That is narrowing the gap, so the current verdict is the weaker of the two readings — check it again before you sign anything.
On confirmed events, Airbnb has no confirmed layoff in the past year. Uber has 1 confirmed layoff on Jun 3. 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: Airbnb 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. Uber shed 2 points: its Jun 3 cut of 1% of staff decaying out of the window, 85 days on; and 18 WARN notices filed with state labour departments this week.
Employee sentiment, blended from anonymous reports and the data signals, reads stable at Airbnb and stable at Uber, 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.