Technology
The Tech Takeover of Advertising in One Chart
The Tech Takeover of Advertising in One Chart
The Chart of the Week is a weekly Visual Capitalist feature on Fridays.
Both Alphabet and Facebook have carefully worked at crafting their public images.
Most people see these companies as forward-looking tech companies that are shaping our future through high-flying initiatives like Google X or Oculus VR. They put money into big moonshots that could potentially change the world, and their actions are closely followed by people in and outside of the technology sector.
But, despite these other initiatives and some diligent messaging, make no mistake – both Alphabet and Facebook are media companies that get their money from one source.
Advertising makes up the vast majority of their business, and they’ve both become very good at it.
True Ad Dominance
Earlier this year, we put together a chart that broke down the revenues of the large tech companies:
Facebook earns 97% of its revenue from ads. Meanwhile, Alphabet earns 88% from ads, while getting less than 1% of its revenue from moonshots (at least for now).
Alphabet and Facebook are so good at advertising, in fact, that traditional media can’t keep up – and as a result, companies like CBS, 21st Century Fox, and iHeartMedia are now fighting for scraps.
Three is a Crowd
It’s not just Alphabet and Facebook that have unlocked the secret to ad dominance. They were just the fastest to do so.
China’s search engine giant, Baidu, is quickly climbing the ranks as well. Even though growth slowed in 2016 due to changes in China’s ad rules, the company will eventually be the third-largest media giant in the world. If Baidu can bump ad revenues by another 20%, it’ll move past Comcast, which owns brands like NBCUniversal and Telemundo.
Microsoft is also making its presence felt, debuting in the Top 10 for the first time in 2016. Microsoft’s Bing search network is now in 36 countries, while making up 33% of the U.S. PC search market. On top of that, the company also acquired LinkedIn, which now contributes $1 billion in revenue to the coffers.
The sea change is still in process – but in a couple years, there may not be a single traditional media that makes the top five list for global ad revenues. The tech takeover continues.
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 infogramtion 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.
-
Money7 days ago
Visualizing All of the U.S. Currency in Circulation
-
Stocks2 weeks ago
Ranked: South Korea’s Largest Companies by Market Capitalization
-
VC+2 weeks ago
What’s New on VC+ in March?
-
Markets2 weeks ago
Confidence in the Global Economy, by Country
-
Wealth1 week ago
Mapped: Where Do the Wealthiest People in the World Live?
-
Misc1 week ago
Ranked: Global Airlines with the Most Plane Crashes
-
Technology1 week ago
Visualizing iPhone 15 Production by Manufacturer in 2023
-
Automotive1 week ago
Visualizing Global Electric Vehicle Sales in 2023, by Market Share