WSJ: Drive-Thru AI Chatbot vs. Fast-Food Worker

In this video from The Wall Street Journal, senior personal tech columnist Joanna Stern examines the performance of an AI chatbot versus a fast-food worker. Are these two inputs clearly substitutes or are their complementarities that could be exploited by companies? If the goal were only to produce the same amount of food as before with lower costs, we might expect to see a reduction in fast-food workers. However, this technological improvement may end up increasing output and subsequently requiring more tech and more labor.

Thanks to John Raby of Thorton Academy for the clip suggestion!

CBS News — American Wealth Pie

Tony Dokoupil takes an interesting approach to ask Americans if they understand what their “share of the pie” looks like. While trying to ask directly, many mall goers avoid the topic, but when asked to distribute pie to plates representing various bins, Americans learn how wealth is distributed currently. This is similar to work done by Michael Norton and Dan Ariely who fond that Americans have a hard to defining the distribution of wealth in the United States.

Business Insider — Robotic Kitchen

This Boston restaurant (Spyce) uses robots to cook food for customers and can cook your meal in 3 minutes or less.  Customers order from electronic kiosks at their table and a screen displays which robot station is preparing the diner’s dish. The woks are designed in a way to ensure consistency. The only labor used in the kitchen is the “garden manager” who is responsible for adding toppings and ensuring presentation. The bowls are priced at under $8.

Thanks to Peach for the clip suggestion!

World Economic Forum — Alibaba’s Automation

A look inside the robotic warehouse of Alibaba in Huiyang, China. The robots pick up the physical items and deliver them to the workers who are in charge of sorting the orders before shipment. The robots can carry about 1100 pounds of good around the warehouse floor all while not bumping into other robots because of a laser guidance system.

CNN — Man Loses Life Savings On Carnival Game

Henry Gribbohm lost a few hundred dollars trying to play a carnival game to win an Xbox, but then went home to get his life savings, $2,600, which he then proceeded to spend at the carnival game. Gribbohm claims the game is rigged, but he did walk away with a giant banana with dreadlocks. While humorous at first, it does paint a picture of financial literacy should be an important component of secondary education.

Thanks to Tammy Batson for the suggestion!

Business Insider — Self-Driving Garbage Truck

Volvo has recently unveiled self-driving garbage trucks in Sweden that are designed to be operated by only on single garbage collector. The trucks match the pace of the garbage collector to allow for differences in worker characteristics. This is just one of the many ways in which automation improves the efficiency of tasks.

Vox — What people miss about the gender wage gap

Vox analyzes the gender pay gap and explains with how the measure is calculated and some of the issues with the way the gap is calculated. In particular, the measure focuses on the median earnings of men and women across the United States, but that isn’t necessarily the fairest representation of underpayment for women in the United State.

Bloomberg — How Much Money Do You Need to Be Wealthy in America?

Relative values of wealth are often difficult for students to analyze, primarily given our focus on income. Income is the flow of money while wealth is an accumulation of assets. Different generations perceive the concept of “wealthy” differently, but this video includes nonpecuniary aspects like spending time with family or being able to vacations as markers of wealthy. It would be interesting to survey students what they feel is a level of wealth that they would identify as being “wealthy.” I suspect it could also be a good opportunity to talk about the differences between means and medians.

Vox — China’s Panda Diplomacy

One of the coolest examples of international trade is China’s use of pandas as a tool for encouraging international trade. While the pandas (and their eventual cubs) may come with a hefty fee, the majority of these pandas accompany major international trade deals that countries sign with China. This quick explainer video outlines the way China uses pandas to their advantage.

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