Skip to Content
Silicon Valley

The secret to stopping the robot apocalypse? Popcorn butter.

Humans are still crucial to Amazon’s fulfillment process.
Justin Saglio

 

Amazon’s fleet of automated warehouse robots, now more than 100,000 machines strong, is working alongside human employees to help meet the e-commerce giant’s massive fulfillment demand.

The company’s robots carry inventory around massive warehouse floors, compiling all the items for a customer’s order and reducing the need for human interaction with the products. But the chief technologist of Amazon Robotics, Tye Brady, insists that these robots are enhancing human efficiencies rather than eliminating warehouse jobs.

Amazon has been going full steam ahead when it comes to hiring and now employs over 500,000 people. Brady views the robots as necessary to this growth. “When there are tens of thousands of orders going on simultaneously, you are getting beyond what a human can do,” he told the audience at MIT Technology Review’s first EmTech Next conference today.

Humans still provide necessary skills in the fulfillment process, like dexterity, adaptiveness, and plain old common sense. For example, when some popcorn butter accidentally fell off a pod in a fulfillment center, it got squished, creating a big buttery mess in the middle of the floor. The curious robots didn’t know how to handle the situation but wanted to go check it out. “The robots were driving through it, and they’d slip and get an encoder error,” says Brady.

Even if they haven’t caused layoffs for Amazon workers, the company’s high-efficiency automated fulfillment efforts have contributed to massive retail job losses, which are disproportionately affecting women. Its cashierless stores also have the potential to reshape retail employment.

However, the company has made efforts to provide services that give smaller businesses access to Amazon’s platform, mitigating some of the negative impact. “We have something called Fulfillment by Amazon,” says Brady. “It turns out more than half of that inventory is sold by third-party vendors. These are the mom-and-pop stores across the globe. That has actually been a great success for small businesses across the globe.”

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

OpenAI teases an amazing new generative video model called Sora

The firm is sharing Sora with a small group of safety testers but the rest of us will have to wait to learn more.

Google’s Gemini is now in everything. Here’s how you can try it out.

Gmail, Docs, and more will now come with Gemini baked in. But Europeans will have to wait before they can download the app.

This baby with a head camera helped teach an AI how kids learn language

A neural network trained on the experiences of a single young child managed to learn one of the core components of language: how to match words to the objects they represent.

Stay connected

Illustration 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.