Technology
The Dominance of Google and Facebook in One Chart
The Dominance of Google and Facebook in One Chart
For digital ads, everyone else is begging for scraps.
The Chart of the Week is a weekly Visual Capitalist feature on Fridays.
Over the next couple years, digital advertising is expected to pass television to become the largest ad market in existence.
One would think that this simple fact should translate to a bright future for many publishers, but the reality seems to be quite different. That’s because digital advertising is increasingly dominated by just two players, and everyone else is just begging for scraps.
The Ad Duopoly
Today, close to $0.60 of every dollar spent on digital advertising goes to Google and Facebook.
The crazy thing is that these are still early days, especially for Facebook, which grew its digital ad revenue by 59% last year. The social media company recently smashed Wall Street’s expectations again, as it revealed that Facebook’s mobile business alone was bigger than its entire business back in 2015 Q3.
This lopsided growth is quite the juxtaposition to the media stalwarts of the world.
Iconic brands such as The New York Times have struggled to make a full transition to digital, making only $200 million per year from the online ad side of their business. That makes the Times, along with other traditional media companies like News Corp, Time Inc, or Hearst, too “small” to even show up on our chart.
It’s a Platform Kind of World
In the digital advertising landscape, it’s all about the power of platforms. The majority of our chart is loaded with companies that have created (or bought) platforms full of user-generated content that people use every day. Facebook, YouTube (owned by Google), Twitter, Snapchat, LinkedIn, and Yelp all make the cut on our chart, because they have gained massive scale.
In a nutshell, this is why the best technology companies have overtaken names like Exxon Mobil or Walmart to be the largest by market capitalization in the world.
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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