The Most Popular Websites by Web Traffic (1993 to 2022)
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Animation: The Most Popular Websites by Web Traffic (1993-2022)

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The Most Popular Websites Since 1993

Over the last three decades, the internet has grown at a mind-bending pace.

In 1993, there were fewer than 200 websites available on the World Wide Web. Fast forward to 2022, and that figure has grown to 2 billion.

This animated graphic by James Eagle provides a historical look at the evolution of the internet, showing the most popular websites over the years from 1993 to 2022.

The 90s to Early 2000s: Dial-Up Internet

It was possible to go on the proto-internet as early as the 1970s, but the more user-centric and widely accessible version we think of today didn’t really materialize until the early 1990s using dial-up modems.

Dial-up gave users access to the web through a modem that was connected to an active telephone line. There were several different portals in the 1990s for internet use, such as Prodigy and CompuServe, but AOL quickly became the most popular.

AOL held its top spot as the most visited website for nearly a decade. By June 2000, the online portal was getting over 400 million monthly visits. For context, there were about 413 million internet users around the world at that time.

RankWebsiteMonthly Visits (May 2000)
1AOL400,891,812
2Yahoo387,573,587
3MSN354,239,803
4eBay116,101,785
5Lycos116,064,930

But when broadband internet hit the market and made dial-up obsolete, AOL lost its footing, and a new website took the top spot—Yahoo.

The Mid 2000s: Yahoo vs. Google

Founded in 1994, Yahoo started off as a web directory that was originally called “Jerry and David’s Guide to the World Wide Web.”

When the company started to pick up steam, its name changed to Yahoo, which became a backronym that stands for “Yet Another Hierarchical Officious Oracle.”

Yahoo grew fast and by the early 2000s, it became the most popular website on the internet. It held its top spot for several years—by April 2004, Yahoo was receiving 5.6 billion monthly visits.

RankWebsiteMonthly Visits (April 2004)
1Yahoo5,658,032,268
2MSN1,838,700,057
3Google1,318,276,780
4AOL905,009,947
5eBay805,474,705

But Google was close on its heels. Founded in 1998, Google started out as a simpler and more efficient search engine, and the website quickly gained traction.

Funny enough, Google was actually Yahoo’s default search engine in the early 2000s until Yahoo dropped Google so it could use its own search engine technology in 2004.

For the next few years, Google and Yahoo competed fiercely, and both names took turns at the top of the most popular websites list. Then, in the 2010s, Yahoo’s trajectory started to head south after a series of missed opportunities and unsuccessful moves.

This cemented Google’s place at the top, and the website is still the most popular website as of January 2022.

The Late 2000s, Early 2010s: Social Media Enters the Chat

While Google has held its spot at the top for nearly two decades, it’s worth highlighting the emergence of social media platforms like YouTube and Facebook.

YouTube and Facebook certainly weren’t the first social media platforms to gain traction. MySpace had a successful run back in 2007—at one point, it was the third most popular website on the World Wide Web.

RankWebsiteMonthly Visits (Jan 2007)
1Google7,349,521,929
2Yahoo5,169,762,311
3MySpace1,276,515,128
4MSN1,259,467,102
5eBay957,928,554

But YouTube and Facebook marked a new era for social media platforms, partly because of their ​​impeccable timing. Both platforms entered the scene around the same time that smartphone innovations were turning the mobile phone industry on its head. The iPhone’s design, and the introduction of the App store in 2008, made it easier than ever to access the internet via your mobile device.

As of January 2022, YouTube and Facebook are still the second and third most visited websites on the internet.

The 2020s: Google is Now Synonymous With the Internet

Google is the leading search engine by far, making up about 90% of all web, mobile, and in-app searches.

What will the most popular websites be in a few years? Will Google continue to hold the top spot? There are no signs of the internet giant slowing down anytime soon, but if history has taught us anything, it’s that things change. And no one should get too comfortable at the top.

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This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.

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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.

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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.

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