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Infographic: Generative AI Explained by AI

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infographic explaining generative ai created using generative ai tools

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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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The World’s Biggest Cloud Computing Service Providers

Cloud computing service providers generated $270 billion in revenues last year, concentrated among a few giants.

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This tree map shows the biggest cloud computing service providers globally by market share.

The World’s Biggest Cloud Computing Service Providers

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.

Today, the three largest cloud computing service providers command 66% of the global market.

Amazon, Microsoft, and Google have generated billions in revenues through their cloud infrastructure that provide the computing power companies need to store data. What’s more, most AI models are run on the cloud, creating a surge in computing demand for cloud providers.

The above graphic shows the largest cloud providers globally, based on data from Synergy Research Group.

Breaking Down the Cloud Market

Here are the world’s top cloud computing service providers based on enterprise revenues as of the fourth quarter of 2023:

ProviderCountryMarket Share Q4 2023
Amazon Web Services🇺🇸 U.S.31%
Microsoft Azure🇺🇸 U.S.24%
Google Cloud🇺🇸 U.S.11%
Alibaba Cloud🇨🇳 China4%
Salesforce🇺🇸 U.S.3%
IBM Cloud🇺🇸 U.S.2%
Oracle🇺🇸 U.S.2%
Tencent Cloud🇨🇳 China2%
Other🌐 Other21%

With 31% of the global market share, Amazon’s cloud division posted $24.2 billion in revenues over the quarter.

AWS is a major cash engine for the company, but growth slowed over 2023 as enterprises and startups cut back on tech spending. Annual sales growth compared to the same quarter last year grew by 13%—far below competitors Microsoft and Google, whose cloud divisions grew by 30% and 26%, respectively.

As we can see, U.S. firms make up the lion’s share of the market, while China’s Alibaba Cloud and Tencent Cloud together comprise 5% of the global share.

The AI Boom and the Cloud

Given that a significant chunk of AI models are run on the cloud, the industry may be positioned to see greater demand as momentum accelerates.

In fact, newer AI systems are as much as 10 to 100 times larger than older models. In line with this, major cloud providers are seeing high demand for cloud services to allow companies across financial to manufacturing sectors to run large language models on their platforms.

Today, 98% of companies globally rely on the cloud for at least one part of their business applications, which may present a market opportunity for the industry as advancements in AI continue to grow.

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