Skip to Content
Uncategorized

Maybe Uber and Lyft drivers *can* make a living

March 6, 2018

How much do Lyft and Uber drivers really make? After reporting in a study that their median take-home pay was just 3.37 per hour—and then getting called out by Uber’s CEO—researchers have significantly revised their findings.

Closer to a living wage: Lead author Stephen Zoepf of Stanford University released a statement on Twitter saying that two different methods of recalculating the hourly wage gave him and his colleagues a new salary figure of either $8.55 or $10 per hour, after expenses. Zoepf’s team will be doing a larger revision of the paper over the next few weeks.

Still lowballing it?: Uber and Lyft are adamant that even the new numbers underestimate what drivers are actually paid. “While the revised results are not as inaccurate as the original findings, driver earnings are still understated,” says Lyft’s director of communications, Adrian Durbin.

The truth is out there: Depending on who’s doing the math, estimates range from $8.55 (Zoepf, et al.) to over $21 an hour (Uber). In other words, we’re nowhere near a consensus on how much drivers in the gig economy make.

Want to stay up to date on the future of work? Sign up for our newest newsletter, Clocking In!

Deep Dive

Uncategorized

Uber Autonomous Vehicles parked in a lot
Uber Autonomous Vehicles parked in a lot

It will soon be easy for self-driving cars to hide in plain sight. We shouldn’t let them.

If they ever hit our roads for real, other drivers need to know exactly what they are.

stock art of market data
stock art of market data

Maximize business value with data-driven strategies

Every organization is now collecting data, but few are truly data driven. Here are five ways data can transform your business.

Cryptocurrency fuels new business opportunities

As adoption of digital assets accelerates, companies are investing in innovative products and services.

Yann LeCun
Yann LeCun

Yann LeCun has a bold new vision for the future of AI

One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.

Stay connected

Illustration by Rose WongIllustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.