After Uber layoffs, how to build a Robotaxi health check checklist

I spent the weekend digging into the news about Uber's layoffs and fell into quite a few traps.

Uber is cutting 10% of its global workforce this time, roughly 3,300 positions. The official reason is to save costs for the ride-hailing and Robotaxi businesses. Robotaxi, simply put, is an autonomous taxi. I broke down the verification process into a table so that even beginners can build a Robotaxi health check sheet from scratch.

First, create a fillable table

1. Create a new spreadsheet with only 6 column headers: Company, City, Service Status, Revenue Evidence, Cost Actions, Questions to Verify. For Service Status, check if cars are actually picking up orders on the road. For Revenue Evidence, look for public paid orders or revenue figures. For Cost Actions, look for layoffs, R&D cuts, or market shrinkage.

2. Open your browser and search for Uber Newsroom. The Newsroom is the company's news page. Search for robotaxi within the page; you should see entries about partnerships, city expansions, and service launches. Copy the title, date, city, and partners into the table.

3. Search for Uber Investor and enter the investor relations page. Click News or Press Releases, then search for Robotaxi within the page. You should see earnings reports or operational updates. If there is no separate revenue figure, write "Not Public".

4. Visit the Pony.ai official website, click Newsroom or Service, and record the service cities, whether it is paid, and if a safety driver is required. A safety driver is essentially a human sitting in the car monitoring for emergencies.

5. Open a map app and search for Pony.ai robotaxi or Waymo robotaxi to see coverage areas. You might see stations, service zones, or get no results. Maps aren't perfectly accurate, but they help distinguish between cities where services were announced versus cities where you can actually hail a ride.

Pros and Cons from an Engineering Perspective

In flight control, I often do IMU data fusion, which combines accelerometer and gyroscope data to determine attitude and position. Robotaxis also rely on sensor fusion at their core, but the hard part in operations is interrupt latency and real-time requirements: remote takeover, dispatching, map updates, and fault reporting all need short response times. Just because a demo works doesn't mean hundreds of cars can run stable daily operations.

Pros of this table:

• No coding required, easy for beginners.
• Turns "he said" into "I saw public evidence".
• Distinguishes between R&D burn rates and operational cost reductions.

Cons:

• Public information lags; press releases only highlight good news.
• Different companies use different metrics; don't mix partnerships, pilots, and paid operations.
• Not finding something on a map doesn't mean the service doesn't exist.

A common trap for beginners is searching only Chinese-language news. Secondary reports often turn "planned partnership" into "large-scale operation." The solution is to verify against official pages and note the source type in remarks. Another trap is having too many fields; start with just 6 columns.

Final Judgment

This table isn't suitable for predicting stock prices, but it is useful for judging whether the business has moved from storytelling to calculating costs. Uber's current layoff looks like squeezing out the fluff from ride-hailing and Robotaxi in the short term. Cutting redundant R&D, admin, and edge projects might push resources toward dispatching, maintenance, and compliance; but if they cut remote takeover, vehicle maintenance, or data loops, be careful.

I've seen some public data: Waymo has completed over 14 million paid rides without safety drivers, triple the number in 2024, offering paid rides in 5 cities with annualized revenue (estimated yearly income) exceeding $350 million. Uber is also preparing to offer Robotaxi services in more than 10 markets. The direction isn't simple contraction, but rather using saved money for stable operations.

Looking ahead, Robotaxi competition will shift from "who has flashier launches and more cars" to "who has lower cost per mile, fewer remote takeovers, and faster compliance." Next step: put Uber, Waymo, and Pony.ai in the same table and update it weekly.