Technology

18 Media Technologies, Sorted by Adoption Rate

Published

5 years ago

May 18, 2018

Marc Doucette

Chart: 18 Media Technologies, Sorted by Adoption Rate

18 Media Technologies, Sorted by Adoption Rate

The Chart of the Week is a weekly Visual Capitalist feature on Fridays.

As you read this, know that you are not alone.

Statistically speaking, over 50% of people are consuming media in some form at this given moment.

In fact, the latest data shows that Americans spend over 12 hours per day consuming media in various forms. This means that people spend more time consuming media than they do working or sleeping – a prolific insight that explains why companies like Apple, Alphabet, Facebook, and Netflix have exploded in size and dominance over the last decade.

Media Adoption in 2018

Using the most recent survey data from Jacobs Media, we can get a sense of how all of this media is actually being consumed.

The following data shows the survey results of 64,289 radio listeners in North America to highlight the adoption rates for 18 different media technologies, ranging from television to smartwatches.

Rank	Media Type	Adoption Rate
#1	TV/Video	95%
#2	AM/FM Radio	92%
#3	Smartphone	90%
#4	Social Media	86%
#5	Tablet	70%
#6	Streaming Video	69%
#7	Radio/Music Apps	66%
#8	Device-to-Car	65%
#9	Streaming Audio	61%
#10	Smart TV	51%
#11	Video Games	44%
#12	MP3 Plaer	35%
#13	Satellite Radio	25%
#14	Connected Car	24%
#15	Podcast	23%
#16	Smart Speaker	21%
#17	HD Radio	13%
#18	Smartwatch	11%

Conventional mediums like television still reign supreme for now.

However, it’s worth noting that the intersection of media and technology is a rapidly-evolving space – and there are several mediums that are jumping up the rankings fast.

Movers and Shakers

We previously covered the ultra-competitive battle for smart speaker market share, and the data here gives further indication to how fast the space is evolving. In the 2018 edition of the survey, smart speakers held a 21% penetration rate – that’s almost double the rate in the 2017 survey, which was only at 11%.

In the video streaming space, Netflix continues its rapid growth – something that was also evident in the internet minute graphic that we shared with you earlier in the week. Users watching Netflix at least once per week jumped from 41% to 52% between 2017 and 2018.

Finally, in other brand news, Facebook is used on a weekly basis by 74% of respondents. Other social media platforms like Instagram and Snapchat were well behind Facebook in overall media usage, but are still growing in terms of users.

Related Topics:TV facebook tech social media media netflix advertising

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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

3 days 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.