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The Gig Economy is Full

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  1. The gig economy has never exactly been flawless, but some recent trends are throwing off a delicate balancing act between workers and customers that might accidentally be exposing some much
  2. deeper underlying problems. On the surface, our unemployment rate looks really good right now. Sure, it has trended up slightly in the wake of a long string of mass layoffs, but by zooming out,
  3. we can see it is still hovering around all-time lows. Sounds great, right? Well, it's no secret anymore that jobs data has had some reliability problems in recent years. And one of the biggest
  4. blind spots is people moving into the gig economy instead of becoming formally unemployed. For a lot of people who have lost their jobs, it's quicker and often easier to register as an Uber driver
  5. than it is to register as unemployed. And you only really need to look at the numbers to see this is happening. According to the Bureau of Labor Statistics, over the last 5 years,
  6. the total number of people classified as unemployed has fallen by about 3 million, which sounds good. But over that same time frame, the number of active Uber drivers has increased by
  7. roughly 3 million people, according to company financials. Now, to play devil's advocate, even if these jobs aren't the best, having readily available and highly flexible work with low
  8. barriers to entry could actually be a good thing when the alternative is people going straight onto unemployment. And we will get to that. But the problem right now for the workers entering the
  9. gig economy is that there is a rapidly growing roster of drivers looking to show for around a $50 burrito and a shrinking pool of customers that are still willing to pay for it. Now under a
  10. landmark deal, drivers can unionize and negotiate pay. What are you making on this trip? Was like $10. Um and they unilaterally drop prices and they unilaterally decide that drivers are going to make
  11. even less of the fair than they were before. I've been going full throttle. and put more hours and make less. Tesla's first robo-taxis are officially on the road and is already partnering with Uber.
  12. A lot of the data surrounding gig work and even just regular employment is disjointed, vague, and often downright counterintuitive. Even something as simple as what it means to be employed is
  13. probably going to be different for you than it is to the statistitians putting all of these numbers together. On top of that, when you think of gig work, you are probably thinking about people
  14. delivering food or driving people around in their fake taxis. But depending on which organization is collecting the data, it can also extend to renting out Airbnb properties or even people like little
  15. old me here running a YouTube channel. When a metric becomes a goal, it's no longer a useful measure because the groups involved will try to influence it in a way that benefits them.
  16. The gig platform companies want to report that they have lots of people working for them to show how important they are to their stakeholders. The media wants big changes in job numbers one way or
  17. another to make for good headlines and politicians want to ignore the industry altogether so that they can keep on pretending the job market is great. This just adds additional murkiness to
  18. an already very messy collection of numbers which can make it really hard to see what is happening to a majority of the workers in these jobs which is let's be honest mostly people who couldn't find
  19. a better job elsewhere. So to unravel this all there are really three components that need to be understood. the fundamental platform economics that have facilitated the growth of the gig
  20. economy, what these services have covered up in the job market, and what happens when they can't cover it up anymore. Now, that first point is really just about a balancing act. A platform like
  21. Uber Eats or Door Dash coordinates transactions between a service provider, the delivery driver, a goods provider, the restaurant, and a consumer, which is you poking at pictures of cheeseburgers
  22. on your phone at 11:00 p.m. If Uber Eats wants to make more money, it either needs to charge you more, pay their delivery drivers less, take a larger cut from the restaurant making the food,
  23. or just do more transactions in total. In the early days of these services, they were almost exclusively focused on that last point, expanding their user base. This meant that
  24. on any given transaction, they would actually pay more to the restaurant and delivery driver than they were taking off the customer just to attract as many of these three onto their
  25. platform as possible. Back around 6 years ago, when these businesses were still blit scaling, customers would get subsidized food that was often cheaper than ordering in person. Restaurants would
  26. get generous revenue splits and drivers were paid well above minimum wage even after accounting for their hidden costs. But these good times were all financed by burning venture capital dollars. Now,
  27. to play devil's advocate again, this is actually not that unusual when building out a marketplace. Customers won't spend money on the app if there are no restaurants to buy from. Restaurants won't
  28. register on a platform that has no customers, and drivers won't make any money if there is no food to be delivered. So, to get things started, the market maker usually does need to sweeten the deal
  29. in every direction. Nowadays, their mission has changed from growing the number of transactions to growing how much they make from those transactions. But how much they can push on each
  30. participant really depends on how hard they are to replace. All of these groups are still growing, but while total revenue from customers increased by around 35% in the last 2 years, the total
  31. number of active gig workers on the platform increased by around 80% over the same time period. This would mean that even if there were no changes in how this revenue was divided up, there
  32. is simply less money per driver, even without considering inflation. But the real point here is that drivers have become the easiest group in this triangle to replace. So it's easier for Uber
  33. to cut costs from them without destabilizing their market. Now I know that this is a lot of numbers to confirm what you probably already knew. Pay and conditions for the most common type of gig work is
  34. getting worse. But by understanding these numbers, you can see how this can very quickly become a dangerous feedback loop, especially if these customers can no longer justify spending twice
  35. as much on their food to have it hand delivered across town. Now, maybe this could be written off as pure speculation from people who have spent too long looking at company financials, except for
  36. the fact that in a lot of markets, it's already happening and the results have not been pretty. So, it's time to learn how money works to find out what happens when there is no room left in
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  44. and your privacy, visit cape.co/getcape and use code howy works33 for 33% off your first 6 months. Okay, so as the gig economy platforms are playing this little game, the perfect outcome for the
  45. company in the middle here trying to maximize their own bottom line would be a large group of people with a lot of disposable cash who are not very price sensitive and an even bigger group of
  46. people over here without much negotiating power who just need whatever money they can get. And oh, would you look at that? It's a statistic you are probably all getting sick of hearing me repeat.
  47. The top 10% of households are now doing a record 50% of the spending while the bottom 60% of households are doing a record low of just 20%. This growing divide is not great,
  48. but for a company like Uber, it's been a golden opportunity to squeeze more money for a worse service out of customers while simultaneously squeezing more service for less money out of its
  49. contractors. Also, let's be honest with ourselves. A lot of that gap is being bridged by pushing for tips harder as well. For the first 3 years of the company, they didn't even have a direct
  50. tipping option because the company itself called the practice tacky. Today, it's the expectation, and it's pushed very hard. Firsthand reports from drivers and restaurants have backed up what
  51. the big picture numbers are suggesting. A lot of locations are doing record volumes of deliveries, but individual drivers are finding it increasingly hard to find consistent deliveries or rides, which
  52. means they can spend hours a day just waiting for an opportunity to work. When they do get jobs, it's clear that the platform is taking a larger share of the pie. Like this example of a $64
  53. ride here in LA, paying out just $1243 to the driver. Of course, this is just one example, but it is a pretty damning one. Another factor that has allowed these companies to squeeze
  54. harder from every direction is interest rates. For a while, competition was actually quite fierce in the delivery gig work space as dozens of regional startups tried to take market share away
  55. from the primary players. Today, most of them have either become the incumbents, been acquired by the incumbents, or they have gone out of business. The blit scaling business model of burning billions of
  56. investor dollars until cementing market share only really worked in a low interest rate environment where it didn't cost much to just keep on piling in more cash. If a competitor wanted
  57. to enter the market today to offer a better service or pay gig workers more competitively, they would not only need to cover their operating costs while taking market share, they would also
  58. need to cover interest payments that would be three times higher than they were back when a lot of today's incumbents were doing the same thing. Now, where this could get really bad
  59. is what could happen if job losses continue. If even more people are forced into the gig economy, that would mean that even more people would end up competing for the same gigs. And that's without
  60. even considering that if people lose their regular jobs and end up delivering for Uber Eatats, they won't have as much money to spend on Uber Eatats. Now, this process alone is actually not
  61. that unusual. It's basically how every demandside economic downturn ever happens. Businesses lay off people, so households spend less money, so revenue falls, so businesses lay people off. If anything,
  62. it could almost be argued that gig work like this offers an additional layer of protection to people who lose their jobs, which is kind of what is happening right now. The problem is
  63. that if this becomes widespread enough, it can cover up the problem for a lot longer than it would otherwise take to realize something might be going wrong. And if things do go very wrong, the
  64. gig economy offers far less friction for this loop to spin. Typically, businesses need to fill out a lot of paperwork to lay people off. It makes them look bad to investors, and they will also need to
  65. rework internal processes to operate with fewer staff. Yeah, sure, they still do it, but it's not an instantaneous or painless process. This means we at least have time to see something going
  66. wrong before it's a full-blown crisis. For gig workers, all of this can happen instantaneously and automatically through the algorithms. If the apps are getting fewer orders, drivers get
  67. fewer jobs and less surge pricing. The automated nature of their employment throws a bottle of baby oil into the mix anytime the economy loses its footing. Uber, Lyft, Door Dash, and companies
  68. like it are now collectively some of the largest employers in America. And if Uber drivers were counted as actual employees, it would individually be the largest employer in the world, easily being
  69. out the largest defense departments and more traditional employers like Walmart. This is also just counting the people working in the largest and most obvious sectors of the gig economy. We
  70. have covered the story before, but starting around 5 years ago, there was a massive increase in the number of new businesses being registered in America. Now, spoiler alert, this was not because
  71. people suddenly became more entrepreneurial. It was mostly because people had lost their regular employment and were registering a company to do gig work. Fiverr, Etsy, Amazon Flex, and the
  72. naughtier platforms also saw a massive uptick in people selling their services. Even the number of videos uploaded to YouTube expanded significantly at this time according to research published in
  73. the Journal of Quantitative Description as people were looking for new ways to make money. And yes, this was just counting long- form content as short form would have skewed the results. The challenges
  74. faced by individuals working at the mercy of the gig economy are now well understood and well documented. But what we may soon figure out is that even for the people who never individually
  75. have to experience those conditions, they could still become a big problem for all of us. In fact, it's kind of already happened. China's gig economy might represent a glimpse into our own future.
  76. And that future is bleak. As a result of various factors like headwinds from the real estate and financial industries as well as a glut in recent graduates, the youth unemployment rate in China
  77. got so bad that the government simply stopped posting that data. Uh yeah, 2 years ago when they did this, we were actually in a position to judge them for it. But anyway, these young workers with
  78. few other options have flooded into the gig economy completely over supplying the system with drivers. Today, according to estimates from The Economists, compiled from available company
  79. financials, there are 200 million gig workers in China, representing as much as 40% of their total urban workforce. This massive number is even scarier when you realize that just 15 years ago,
  80. these platforms didn't really exist at all. This has become a real problem in the last 3 years in particular, as already frugal Chinese households are cutting back on service spending
  81. due to faltering economic conditions. The end result is that gig workers have reported spending 10 hours a day waiting to earn as much money as what would have taken them just 3 hours in
  82. the past. Large groups of brightly colored riders waiting outside shopping malls have become a very visible sign of bigger issues impacting average people in an economy that by the headline numbers
  83. still looks like it's doing very well. Even workers who are active for 10 hours a day, 7 days a week are still not earning enough to afford a dignified lifestyle in the country's major urban
  84. centers where most of this work is available. In some cases, competition for work has become so fierce that groups from opposing apps have gotten into altercations with one another on the street,
  85. and that is clearly not a sign of things going well. Now, we are still a little ways behind a similar situation in most Western countries, but there are not major structural differences that
  86. mean we couldn't. The point is that this should be a scary story with a lot of things that sound very familiar, which is not great. But it gets worse. So far, all of this has been ignoring the big
  87. push to automate gig work as quickly as possible. Drivers replaced by robo taxis, delivery drivers replaced with little fridges on wheels, and Etsy creatives replaced with an avalanche of AI
  88. generated slop. Unfortunately, as this technology progresses, there is really no way it ends well for the most vulnerable workers depending on these kinds of gigs to pay their bills. If the AI bubble
  89. collapses, then it's going to take a lot of the economy down with it. And the first thing that people are going to sacrifice are expensive Uber Eats orders. If the AI bubble doesn't collapse,
  90. it will most likely be because the technology gets to a point where it is completely able to replace workers in laborheavy industries like food delivery. No matter which way this all goes, it's
  91. probably not going to end well for people who are already not doing well. Now, I will actually be making an entire video next week about this dismal endgame, so make sure to subscribe for that. But
  92. shameless plug aside, the point is that these platforms know the best way to get the most out of this game is to remove this piece entirely and just hope it doesn't take this one out with it.
  93. It's a dangerous gambit that might not pay off, but even if it doesn't, it won't really matter. Go and watch this video next to find out why the stock market is still booming, even in a terrible
  94. economy, to find out how. And don't forget to like and subscribe to keep on learning how money works.

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