The Apps Winning the Battle For Our Attention Span
With the smartphone as the centerpiece of the new global consumer economy, how we allocate our screentime between the myriad of apps that exist is becoming a very telling statistic.
After all, the companies that win the battle for app mindshare will have unfettered access to billions of consumers, as well as the economic opportunities that emerge from that access.
The Duopoly vs. Everyone Else
Most know that Facebook and Google, the two tech giants that are lovingly referred to as “The Duopoly” by advertising executives, are already capturing $0.60 of every dollar spent on advertising online.
And now, through acquisitions, The Duopoly is showing that they are able to stay ubiquitous as consumers spend even more time on their smartphones.
According to recent data from Apptopia, the global app ecosystem is dominated by Facebook and Google owned apps. Together, among the top 100 apps, their products account for 54% of all screen time.
What’s up with WhatsApp?
In particular, Facebook’s showing is impressive here: users spend an average of 79 minutes per day in its apps.
What’s even more interesting is that this is mainly due to the success of WhatsApp, a company that Facebook successfully acquired for $19 billion in 2014. WhatsApp has a user base well beyond 1 billion people, and in the last three months it saw 82.21 billion hours of time spent on the messaging app – more than any other.
Here are the 10 top apps, in terms of screen time, as estimated by Apptopia:
- Google Maps
Note: May-July 2018. Data is global and includes iOS and Android. Excludes third-party app stores.
To understand the dominance of WhatsApp, keep in mind the top-viewed game over this May-July 2018 period was Clash of Clans, in which users spent 3.83 billion hours. Compared to WhatsApp’s 82 billion hours, that’s just a drop in the bucket!
Facebook owns three of the top four apps, even though the company isn’t the base of any ecosystem like Google or Apple. The question it does face however, is how it will monetize WhatsApp and Messenger, each apps with over 1 billion users.
Most Downloaded Apps
In 2017, WhatsApp was downloaded a whopping 924 million times.
Here’s how that compares to other top apps in different categories based on 2017 data:
|Category||App||# of Downloads (2017)|
|Music and Audio||Spotify||299 million|
|Games||Subway Surfers||190 million|
|Food and Drink||Subway||35 million|
As you can see, WhatsApp (and other social apps) blow away the competition from all other categories.
It’s something that Facebook is likely quite happy about, though for now it’s still hard to put a number on the value of WhatsApp to the mother company.
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.
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
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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