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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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What is the Median Pay of Magnificent Seven Companies?

The Magnificent Seven companies are fueling stock market gains. In this graphic, we show the median pay of each company in 2023.

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This circle graphic shows the median pay of employees at the Magnificent Seven companies.

What is the Median Pay of Magnificent Seven Companies?

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.

The Magnificent Seven are lifting the stock market to new highs, led by Nvidia, Microsoft, Apple, and Alphabet in particular.

In May alone, these tech giants added $1.4 trillion in market capitalization to the S&P 500—surpassing the combined gains of 296 other stocks during the same period. Notably, Nvidia contributed to more than half of this rise. As tech stocks boom, many are offering robust salaries with substantial stock option plans.

This graphic shows the median pay of the Magnificent Seven companies in 2023, based on analysis from The Wall Street Journal and MyLogIQ.

The Highest Paying Companies in the Magnificent Seven

Below, we show the median employee pay of the Magnificent Seven companies in 2023:

CompanyMedian Employee Pay
2023
CEO Total Pay
2023
Meta$379,050$24.4M
Alphabet$315,531$8.8M
Nvidia$266,939$34.2M
Microsoft$193,770$48.5M
Apple$94,118$63.2M
Tesla$45,811$0M
Amazon$36,274$1.4M

Data for Microsoft is from SEC filings. Total CEO pay includes equity awards and cash pay.

Meta ranks as the highest overall, with a median pay of $379,050, which is more than six times the national median salary.

Not only is it the leading company in the Magnificent Seven, it has one of the highest median pay across S&P 500 companies. Between 2022 and 2023, employee pay increased 28%, following four rounds of layoffs that slashed thousands of employees in its “year of efficiency”.

Following Meta is Google’s parent company, Alphabet, with a median pay of $315,531. The company operates a hybrid work policy, requiring employees to be in the office about three days a week. This mirrors a trend seen across Amazon and Salesforce to encourage in-person collaboration.

At Nvidia, employees received a median pay of $266,939, fueled by its soaring share price. Last year, over $300 million in value was delivered to its staff under its employee stock purchase plan. Along with a competitive pay package, the company offers an unlimited vacation policy along with 22-weeks of paid parental leave.

Falling near the bottom of the pack is Tesla, where the median salary for employees is $45,811. The automotive sector is notorious for steep wage gaps between CEOs and workers, with CEOs often earning 300 times more than the median employee.

In 2023, Tesla CEO Elon Musk earned no compensation, and is instead paid through incentive-based stock options. Recently, a judge invalidated a staggering $56 billion pay package for the executive, deeming it unfair to the company’s shareholders. This pay package was awarded in 2018, with stipulations that Tesla meet certain performance requirements over a 10-year timeframe.

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