Technology
Chart: The Coin Universe Keeps Expanding
Chart: The Coin Universe Keeps Expanding
Bitcoin’s record year is just a part of the big story
Note: This post was updated June 27th, 2017 with current values for all cryptocurrencies.
Bitcoin is the original cryptocurrency, and its meteoric rise has made it a mainstay of conversation for investors, media, and technologists alike.
In fact, the innovation of the blockchain is changing entire markets, while causing ripples with central banks and the financial industry. At time of publication, the bitcoin price now hovers near US$2,400, a massive increase from this time last year.
But the true impact of Bitcoin is actually far more reaching than this – it’s actually helped to birth new markets for over 800 other cryptocurrencies and assets that are available for online trading. And while the market for bitcoins is worth $40 billion itself, the rest of these cryptocurrencies are actually worth even more in combination.
The Altcoin Universe
For the first time since Bitcoin was founded, it now makes up the minority of the entire cryptocurrency market at about 41.6% of all coins and assets.
So what are the other altcoins that make up the rest of this universe, and where did they come from?
Litecoin
Litecoin is one of the first altcoins, and it is nearly identical to Bitcoin after being “forked” in 2011. Litecoin aims to process blocks 4x faster than Bitcoin to speed up transaction confirmation time, though this creates several other challenges as well. At time of writing, Litecoin’s market capitalization is worth $2.1 billion.
Ethereum
Ethereum, launched in 2015, is the largest coin by market capitalization aside from Bitcoin. However, it is also quite different. While Bitcoin is designed to be a payments protocol first, Ethereum enables developers to build and deploy decentralized applications, while also enabling smart contracts. The tokens used to power the network are called Ether, but they can also be traded online. At time of writing, Ethereum’s market capitalization is $25.7 billion.
Also interesting: the Ethereum network actually split into two in 2016. It’s a complicated situation, but read about it here. There is now a separate Ethereum, based on the original Ethereum blockchain, trading as “Ethereum Classic” with its own market capitalization of $1.8 billion.
Ripple
Ripple (XRP) is the native currency of the Ripple Protocol – a broader catch-all for an open-source, global exchange. It’s already being used by banks such as Santander, Bank of America Merrill Lynch, UBS, and RBC. It solves a different problem than Bitcoin, allowing for settling payments between different currencies and even different payment systems. Today, Ripple’s native coin (XRP) has a market cap of $10.5 billion.
Learn More
With over 800+ altcoins or assets out there, there’s plenty of information to absorb.
Here’s a short 20-minute course on the history of altcoins that might provide useful context, as well as in-depth explanations of Ethereum and Ripple that may help you learn about the important parts of a rapidly growing altcoin universe.
Technology
Charted: The Jobs Most Impacted by AI
We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.
Charted: The Jobs Most Impacted by AI
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.
In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.
Data and Methodology
To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.
With this analysis, researchers were then able to estimate how AI would impact different occupational groups.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.
Where AI will make the biggest impact
Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.
Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.
Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.
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