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Which Jobs Will Be Most Impacted by ChatGPT?

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Visualizing the impact of artificial intelligence on the labor market

Jobs Most Impacted by ChatGPT and Similar AI Models

On November 30, 2022, OpenAI heralded a new era of artificial intelligence (AI) by introducing ChatGPT to the world.

The AI chatbot stunned users with its human-like and thorough responses. ChatGPT could comprehend and answer a variety of different questions, make suggestions, research and write essays and briefs, and even tell jokes (amongst other tasks).

Many of these skills are used by workers in their jobs across the world, which begs the question: which jobs will be transformed, or even replaced, by generative AI in the coming future?

This infographic from Harrison Schell visualizes the March 2023 findings of OpenAI on the potential labor market impact of large language models (LLMs) and various applications of generative AI, including ChatGPT.

Methodology

The OpenAI working paper specifically examined the U.S. industries and jobs most “exposed” to large language models like GPT, which the chatbot ChatGPT operates on.

Key to the paper is the definition of what “exposed” actually means:

“A proxy for potential economic impact without distinguishing between labor-augmenting or labor-displacing effects.” – OpenAI

Thus, the results include both jobs where humans could possibly use AI to optimize their work, along with jobs that could potentially be automated altogether.

OpenAI found that 80% of the American workforce belonged to an occupation where at least 10% of their tasks can be done (or aided) by AI. One-fifth of the workforce belonged to an occupation where 50% of work tasks would be impacted by artificial intelligence.

The Jobs Most and Least at Risk of AI Disruption

Here is a list of jobs highlighted in the paper as likely to see (or already seeing) AI disruption, where AI can reduce the time to do tasks associated with the occupation by at least 50%.

Analysis was provided by a variety of human-made models as well as ChatGPT-4 models, with results from both showing below:

Jobs Categorized ByAI Exposure
AccountantsAI100%
Admin and legal assistantsAI100%
Climate change policy analystsAI100%
Reporters & journalistsAI100%
MathematiciansHuman & AI100%
Tax preparersHuman 100%
Financial analystsHuman100%
Writers & authorsHuman100%
Web designersHuman100%
Blockchain engineersAI97.1%
Court reportersAI96.4%
ProofreadersAI95.5%
Correspondence clerksAI95.2%
Survey researchersHuman84.0%
Interpreters/translatorsHuman82.4%
PR specialistsHuman80.6%
Animal scientistsHuman77.8%

Editor’s note: The paper only highlights some jobs impacted. One AI model found a list of 84 additional jobs that were “fully exposed”, but not all were listed. One human model found 15 additional “fully exposed” jobs that were not listed.

Generally, jobs that require repetitive tasks, some level of data analysis, and routine decision-making were found to face the highest risk of exposure.

Perhaps unsurprisingly, “information processing industries” that involve writing, calculating, and high-level analysis have a higher exposure to LLM-based artificial intelligence. However, science and critical-thinking jobs within those industries negatively correlate with AI exposure.

On the flipside, not every job is likely to be affected. Here’s a list of jobs that are likely least exposed to large language model AI disruption.

Jobs Least Exposed to AI
AthletesShort-order cooks
Large equipment operatorsBarbers/hair stylists
Glass installers & repairersDredge operators
Automotive mechanicsPower-line installers/repairers
Masons, carpenters, roofersOil field maintenance workers
Plumbers, painters, pipefittersServers, dishwashers, bartenders

Naturally, hands-on industries like manufacturing, mining, and agriculture were more protected, but still include information processing roles at risk.

Likewise, the in-person service industry is also expected to see minimal impact from these kinds of AI models. But, patterns are beginning to emerge for job-seekers and industries that may have to contend with artificial intelligence soon.

Artificial Intelligence Impacts on Different Levels of Jobs

OpenAI analyzed correlations between AI exposure in the labor market against a job’s requisite education level, wages, and job-training.

The paper found that jobs with higher wages have a higher exposure to LLM-based AI (though there were numerous low-wage jobs with high exposure as well).

Job ParameterAI Exposure Correlation
WagesDirect
EducationDirect
TrainingInverse

Professionals with higher education degrees also appeared to be more greatly exposed to AI impact, compared to those without.

However, occupations with a greater level of on-the-job training had the least amount of work tasks exposed, compared to those jobs with little-to-no training.

Will AI’s Impact on the Job Market Be Good or Bad?

The potential impact of ChatGPT and similar AI-driven models on individual job titles depends on several factors, including the nature of the job, the level of automation that is possible, and the exact tasks required.

However, while certain repetitive and predictable tasks can be automated, others that require intangibles like creative input, understanding cultural nuance, reading social cues, or executing good judgement cannot be fully hands-off yet.

And keep in mind that AI exposure isn’t limited to job replacement. Job transformation, with workers utilizing the AI to speed up or improve tasks output, is extremely likely in many of these scenarios. Already, there are employment ads for “AI Whisperers” who can effectively optimize automated responses from generalist AI.

As the AI arms race moves forward at a rapid pace rarely seen before in the history of technology, it likely won’t take long for us to see the full impact of ChatGPT and other LLMs on both jobs and the economy.

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This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.

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Ranked: The Most Popular Generative AI Tools in 2024

OpenAI’s ChatGPT recorded over 2 billion website visits in March 2024, beating out all other generative AI tools by a wide margin.

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The Most Popular Generative AI Tools by Web Traffic

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.

Interest in generative AI tools has seen a surge in popularity in recent years, coinciding with the release of OpenAI’s groundbreaking chatbot, ChatGPT.

Not only has search interest around AI skyrocketed recently, the number of AI patents has also seen enormous growth since 2020.

While new players have been entering the generative AI space, there are clear leaders when it comes to general popularity. This graphic shows the 15 most popular generative AI tools based on web traffic in March 2024.

The data comes from a World Bank policy research working paper titled “Who on Earth is Using Generative AI?” by Yan Liu and He Wang.

ChatGPT Reigns Supreme Among AI Tools

OpenAI’s ChatGPT leads the generative AI market by a wide margin, accounting for 82.5% of total web traffic among 40 generative AI tools analyzed in the study.

RankGenAI ToolTypeTraffic in March 2024 (million visits)
1ChatGPTChatbot2,343.2
2GeminiChatbot132.9
3PoeChatbot43.4
4PerplexityChatbot40.2
5ClaudeChatbot32.3
6DeepAIChatbot31.1
7CopilotChatbot26.2
8MidjourneyImage24.7
9PreziImage18.0
10NightcafeImage13.9
11LeonardoImage13.6
12GammaImage11.6
13PixaiImage9.6
14RunwayVideo9.0
15IdeogramImage8.9

ChatGPT is the only generative AI tool to have exceeded 1 billion website visits in March 2024, and in August 2024, OpenAI said ChatGPT recorded over 200 million active weekly users.

In general, chatbots like ChatGPT, Claude, Perplexity, and Gemini are the most popular type of generative AI tool, followed by image creation tools like Midjourney.

Runway, which is backed by investors like Google and Nvidia, is the only AI video generation company to make the top 15. Its latest foundation model, Gen-3 Alpha, launched in June.

The company recently partnered with Lionsgate to train a custom model on Lionsgate’s vast film and TV catalog.

However, other major players are entering the AI video landscape. Along with OpenAI’s Sora, which was announced in February of 2024, Meta recently announced their own AI video generation model called Movie Gen that can create realistic video and audio clips based on user prompts.

Learn More on the Voronoi App

To learn more about the impact of artificial intelligence, check out this graphic that shows AI’s effects on various industry margins over the next five years.

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Voronoi, the app by Visual Capitalist. Where data tells the story. Download on App Store or Google Play

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