Just-in-time scheduling lets an algorithm decide when — and whether — millions of people work. Surveys find 40% of shift workers (mostly in retail and food service) don’t know their schedule a week in advance. They can also get sent home mid-shift or asked to be on call, unpaid. Studies show that more than 50% of hourly workers’ income swings up to 30% month-to-month, making it hard to budget for rent, qualify for benefits, or plan. A landmark study done at The Gap a decade ago proved stable schedules boost not only morale, but sales, so this isn't even bad for business. We already have fair workweek laws in many big cities, but this is a no-brainer for an update to the federal Fair Labor Standards Act.

Chapters:

1:01 Announcements — Review shoutouts, Benevity donor thanks.

2:15 Retcon — July 4th recap, AI job-loss predictions walked back.

7:29 Terms & Conditions — Just In Time scheduling and clopening.

10:21 The Big Pilcrow: Underwork — Why part-time and shift workers get scheduled unfairly.

13:50 How the BLS tracks part-time hours by industry.

17:05 Economic vs. non-economic part-time reasons.

25:05 The Gap Study — Predictive scheduling boosted sales 7%.

28:22 Consequences — Income volatility and benefits fraud traps.

32:06 Fair workweek law and bills

35:20 Labor market regulation as low-cost policy.

41:59 Executive Orders — Credit card charge names, smaller jar lids.

43:52 Spiritual Sponsors — WaPo editorial takedown, new yoga studio.

48:12 Credits



Rss Apple Podcaster
Podden och tillhörande omslagsbild på den här sidan tillhör Kathryn Anne Edwards and Robin Rauzi. Innehållet i podden är skapat av Kathryn Anne Edwards and Robin Rauzi och inte av, eller tillsammans med, Poddtoppen.