Technology

From Amazon to Zoom: What Happens in an Internet Minute In 2021?

Published

1 year ago

November 10, 2021

Aran Ali

internet minute 2021

From Amazon to Zoom: An Internet Minute In 2021

In our everyday lives, not much may happen in a minute. But when gauging the depth of internet activity occurring all at once, it can be extraordinary. Today, around five billion internet users exist across the globe.

This annual infographic from Domo captures just how much activity is going on in any given minute, and the amount of data being generated by users. To put it mildly, there’s a lot.

The Internet Minute

At the heart of the world’s digital activity are the everyday services and applications that have become staples in our lives. Collectively, these produce unimaginable quantities of user activity and associated data.

Here are just some of the key figures of what happens in a minute:

Amazon customers spend $283,000
12 million people send an iMessage
6 million people shop online
Instacart users spend $67,000
Slack users send 148,000 messages
Microsoft Teams connects 100,000 users
YouTube users stream 694,000 videos
Facebook Live receives 44 million views
Instagram users share 65,000 photos
Tiktok users watch 167 million videos

As these facts show, Big Tech companies have quite the influence over our lives. That influence is becoming difficult to ignore, and draws increasing media and political attention. And some see this attention as a plausible explanation for why Facebook changed their name—to dissociate from their old one in the process.

One tangible measure of this influence is the massive amount of revenue Big Tech companies bring in. To get a better sense of this, we can look at Big Tech’s revenue generating capabilities on a per-minute basis as well:

Company	Revenue Per Minute
Amazon	$955,517
Apple	$848,090
Alphabet (Google)	$433,014
Microsoft	$327,823
Facebook	$213,628
Tesla	$81,766
Netflix	$50,566

Much of the revenue that these elite trillion-dollar stocks generate can be traced back to all the activity on their various networks and platforms.

In other words, the 5.7 million Google searches that occur every minute is the key to their $433,014 in per minute sales.

The Internet Minute Over The Years

With the amount of data and information in the digital universe effectively doubling every two years, it’s fair to say the internet minute has gone through some changes over the years. Here are just some areas that have experienced impressive growth:

In 2016, Snapchat users 527k photos per minute, compared to 2 million in 2021
In 2017, Twitter saw 452k Tweets per minute, compared to 575k in 2021
In 2018, $862,823 was spent online shopping, while 2 million people were shopping per minute in 2021
In 2019, 4.5 million videos on YouTube were being viewed every minute, while in 2021 users were streaming 694k hours
In 2020, Netflix users streamed 404k hours per minute, growing to 452k hours in 2021

Here’s a look at the services that have been featured in the various iterations of this graphic over the years:

data never sleeps wheel over time 2021

Twitter, Instagram, and Youtube are the only three brands to be featured every single year.

Internet Growth Perspectives

The Internet Minute wheel also helps to put the internet’s rapid rate of adoption into perspective. For instance, in 1993, there were only 14 million internet users across the globe. But today, there are over 14 million just in Chile.

That said, the total addressable market still has some room left. By some measures, the complete number of internet users grew by 500 million in 2021, a roughly 11% jump from 4.5 billion users in 2020. This comes out to an astonishing 950 new users on a per minute basis.

What’s more, in the long term, with the appropriate infrastructure in place, certain areas within emerging markets can experience buoyant growth in the number of connected citizens. Here’s where the next billion internet users may come from, based on the largest disconnected populations.

Rank	Country / Territory	Unconnected People	% of Population
1	India	685,591,071	50%
2	China	582,063,733	41%
3	Pakistan	142,347,735	65%
4	Nigeria	118,059,925	58%
5	Bangladesh	97,427,352	59%
6	Indonesia	96,709,226	36%
7	Ethiopia	92,385,728	81%
8	Democratic Republic of Congo	71,823,319	81%
9	Brazil	61,423,295	29%
10	Egypt	46,626,170	46%

With this growth trajectory in mind, we can expect future figures to become even more astonishing. But the human mind is known to be bad at interpreting large numbers, so in future editions, the internet minute figures may need to be stripped down to the internet second.

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Technology

Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

Published

4 hours ago

February 1, 2023

Nick Routley

Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.