Technology
The 150 Apps that Power the Gig Economy
Here are 150 Apps that Power the Gig Economy
Go back in time a decade, and you’d have a tough time convincing anyone that they would be “employed” through an app on their phone.
And yet, in a short period of time, the emergence of the smartphone has enabled the gig economy to flourish into a multi-trillion dollar global market. And by leveraging apps like Uber, Airbnb, and Etsy, it’s estimated that 57 million people in the U.S. now participate in the gig economy each year in some shape or form.
What apps do these people use to turn their time, skills, hobbies, or assets (cars, home, parking spaces, etc.) into additional income streams?
App Examples
Today’s infographic comes to us from TitleMax, and it lists 150 different apps that are used within the gig economy – including many that pay gig workers directly.
Here are just some of the apps that are used in some of the major categories above:
Ridesharing
Uber and Lyft are what many think of when they hear about the gig economy. However, there are now dozens of rideshare apps out there to fill different niches – for example, Wingz offers flat-fee rides to the airport, while Curb connects riders with professional taxi drivers.
Errands
TaskRabbit, which was bought by IKEA, turns errands such as assembling furniture or cleaning a gutter into payable gigs. Meanwhile, apps like Dolly and Bellhops will connect you with movers, and LawnLove is for lawn care.
Art, Design, and Crafting
Etsy, a marketplace for handmade goods, is one the of the best known brands in this category. However, there are many other niche options here as well – for example, UncommonGoods specializes in unique gifts, while Society6 focuses on gallery quality art prints.
Writing and Editing
Lulu and Kindle Direct allow you to publish eBooks online and sell them, while proofreaders and editors can get paid for their copy editing services through Gramlee.
Delivery
Fast and efficient delivery services are a centerpiece to the gig economy, and there are no shortage of options here. DoorDash, UberEats, Caviar, and GrubHub allow users to get food delivered to their doors, while apps like Instacart focus on grocery delivery.
Multimedia
We all know that you can create videos and monetize them on places like YouTube or Twitch, but did you know you can be a voice actor through services like VoiceBunny? You can also sell rights to your photos via Foap, or do freelancing work through Upwork or Fiverr.
Whether you are tapping into the gig economy for an extra income stream or you are incorporating gig economy services into your life for added convenience, there is no shortage of options to choose from.
Technology
Charted: The Jobs Most Impacted by AI
We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.
Charted: The Jobs Most Impacted by AI
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.
Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.
In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.
Data and Methodology
To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.
With this analysis, researchers were then able to estimate how AI would impact different occupational groups.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.
Where AI will make the biggest impact
Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.
Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.
Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.
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