Most recently, in the decade between 2010 and 2020, the top 1% of U.S. households’ portion of wealth has gone from 28.6% to 31.2%. However, when expressed in raw dollars, things begin to look different. Wealth during the same period for the 1% went from approximately $17.5 trillion to $35 trillion. Meanwhile, the total wealth pool rose from $60 trillion to $112 trillion. In other words, all households by category have amassed wealth during the same period, albeit at different rates. Source: The Federal Reserve
Drivers Of Wealth Inequality
The longest bull market in history, which went from March 2009 to February 2020, has been a big driver for the recent divergence. The U.S. composition of wealth for the top 1% of households skews towards corporate equities and mutual funds, of which they collectively own $14 trillion. By contrast, the bottom 50% of households own $0.16 trillion. It’s often said a stock market correction is long overdue. Since the top 1% of households clearly have the most skin in the game, if one were to transpire, wealth inequality would likely retract.
A Longer Term Look
Although the inequality of wealth is heavily discussed in today’s climate, the numbers have been higher before. Wealth inequality, measured by the top 1% of U.S. households’ portion of wealth, was at its peak at the start of the 20th century. Back then, a harsh and more concrete class divide with lower rates of upward mobility were common themes.
At its peak in 1910, the top 1% of U.S. households owned well over 40% of all wealth. Major world wars and the Great Depression seemed to be catalysts against this, and the years after WWII brought about some of the lowest levels of inequality seen in the modern era. Wealth inequality has ebbed and flowed throughout history, but it has steadily crept back up in the last few decades. Today, its adverse effects continue to garner the attention of more people—including policy makers who are facing immense pressure to find a solution. Source: The Fed Notes: This data covers Q2’2010-Q2’2020 on Today’s connected cars come stocked with as many as 200 onboard sensors, tracking everything from engine temperature to seatbelt status. And all those sensors create reams of data, which will increase exponentially as the autonomous driving revolution gathers pace. With carmakers planning on uploading 50-70% of that data, this has serious implications for policymakers, manufacturers, and local network infrastructure. In this visualization from our sponsor Global X ETFs, we ask the question: will connected cars break the internet?
Data is a Plural Noun
Just how much data could it possibly be? There are lots of estimates out there, from as much as 450 TB per day for robotaxis, to as little as 0.383 TB per hour for a minimally connected car. This visualization adds up the outputs from sensors found in a typical connected car of the future, with at least some self-driving capabilities. The focus is on the kinds of sensors that an automated vehicle might use, because these are the data hogs. Sensors like the one that turns on your check-oil-light probably doesn’t produce that much data. But a 4K camera at 30 frames a second, on the other hand, produces 5.4 TB per hour. All together, you could have somewhere between 1.4 TB and 19 TB per hour. Given that U.S. drivers spend 17,600 minutes driving per year, a vehicle could produce between 380 and 5,100 TB every year. To put that upper range into perspective, the largest commercially available computer storage—the 100 TB SSD Exadrive from Nimbus—would be full in 5 hours. A standard Blu-ray disc (50 GB) would be full in under 2 seconds.
Lag is a Drag
The problem is twofold. In the first place, the internet is better at downloading than uploading. And this makes sense when you think about it. How often are you uploading a video, versus downloading or streaming one? Average global mobile download speeds were 30.78 MB/s in July 2022, against 8.55 MB/s for uploads. Fixed broadband is much higher of course, but no one is suggesting that you connect really, really long network cables to moving vehicles.
Ultimately, there isn’t enough bandwidth to go around. Consider the types of data traffic that a connected car could produce:
Vehicle-to-vehicle (V2V) Vehicle-to-grid (V2G) Vehicles-to-people (V2P) Vehicles-to-infrastructure (V2I) Vehicles-to-everything (V2E)
The network just won’t be able to handle it.
Moreover, lag needs to be relatively non-existent for roads to be safe. If a traffic camera detects that another car has run a red light and is about to t-bone you, that message needs to get to you right now, not in a few seconds.
Full to the Gunwales
The second problem is storage. Just where is all this data supposed to go? In 2021, total global data storage capacity was 8 zettabytes (ZB) and is set to double to 16 ZB by 2025.
One study predicted that connected cars could be producing up to 10 exabytes per month, a thousand-fold increase over current data volumes.
At that rate, 8 ZB will be full in 2.2 years, which seems like a long time until you consider that we still need a place to put the rest of our data too.
At the Bleeding Edge
Fortunately, not all of that data needs to be uploaded. As already noted, automakers are only interested in uploading some of that. Also, privacy legislation in some jurisdictions may not allow highly personal data, like a car’s exact location, to be shared with manufacturers.
Uploading could also move to off-peak hours to even out demand on network infrastructure. Plug in your EV at the end of the day to charge, and upload data in the evening, when network traffic is down. This would be good for maintenance logs, but less useful for the kind of real-time data discussed above.
For that, Edge Computing could hold the answer. The Automotive Edge Computing Consortium has a plan for a next generation network based on distributed computing on localized networks. Storage and computing resources stay closer to the data source—the connected car—to improve response times and reduce bandwidth loads.
Invest in the Future of Road Transport
By 2030, 95% of new vehicles sold will be connected vehicles, up from 50% today, and companies are racing to meet the challenge, creating investing opportunities.
Learn more about the Global X Autonomous & Electric Vehicles ETF (DRIV). It provides exposure to companies involved in the development of autonomous vehicles, EVs, and EV components and materials.
And be sure to read about how experiential technologies like Edge Computing are driving change in road transport in Charting Disruption. This joint report by Global X ETFs and the Wall Street Journal is also available as a downloadable PDF.
