Technology
Predicting the Future of Media and Entertainment
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Visualizing the Future of Media and Entertainment
View the high resolution version of today’s graphic by clicking here.
Over your lifetime, the consumption of media and entertainment has already changed drastically.
For Boomers and Gen Xers, the shift has been earth-shattering. Both generations will remember a time before mainstream computing when TV was dominated by the Big Three TV networks (NBC, ABC, and CBS), and newspapers and magazines were the main way to stay in touch with what was happening.
Even millennials have seen fundamental shifts in consumption of media. After all, they experienced the rise of social media, online news, streaming, and digital video firsthand. Many of them will remember their college getting access to Facebook for the first time, the death of Napster, and the funny sounds their 28.8k modem made as it struggled to successfully download a single image file.
The modern landscape of media is very different than it was back then – and the coming years will see even more prolific changes.
The Future of Media and Entertainment
Today’s infographic comes to us from Raconteur, and it showcases multiple sets of data that help to illustrate the direction that media is heading. This includes the growth rates of various media and entertainment sectors, TV viewing trends, and social media use.
Here are some of the key trends that we found to be compelling:
Annualized Media Sector Growth (Minus GDP Growth) from 2016-2021
Media sector | Annual Growth (minus GDP growth) |
---|---|
Online Video | 6.0% |
Online Advertising | 4.3% |
Video Gaming | 2.7% |
Out-of home Ads | -1.7% |
Music | -2.0% |
TV Advertising | -2.8% |
Radio | -3.4% |
Books | -4.5% |
Magazines | -6.0% |
Newspapers | -8.3% |
Online video (6.0%), online ads (4.3%), and video gaming (2.7%) are the only sectors growing at a rate faster than GDP growth.
But while digital video use is growing, it’s not going to takeover TV anytime soon:
Daily Minutes Watching TV vs. Digital Video
Year | TV (Minutes watched) | Digital Video (Minutes Watched) |
---|---|---|
2016 | 245 | 49.5 |
2017 | 238 | 54.3 |
2018 | 230 | 58.7 |
2019 | 222 | 62.5 |
2020 | 219 | 65.3 |
Lastly, here are some figures on the future of media and entertainment that are particularly interesting:
- By 2021, Cisco says that 82% of all internet traffic will stem from digital video
- There will be 26.3 million VR headsets shipped in 2022, up from 100,000 in 2016
- The eSports market will jump 152% in size by 2021
- By 2021, there will be 650 million subscribers to services like Amazon Prime or Netflix
- 5G latency is expected to be 0.001 seconds, which is 15-60x faster than 4G
It’s fair to say that in another decade, media and entertainment will be much less recognizable than what it looks like today.
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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