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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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Technology

Mapped: The Number of AI Startups By Country

Over the past decade, thousands of AI startups have been funded worldwide. See which countries are leading the charge in this map graphic.

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Mapped: The Number of AI Startups By Country

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.

Amidst the recent expansion of artificial intelligence (AI), we’ve visualized data from Quid (accessed via Stanford’s 2024 AI Index Report) to highlight the top 15 countries which have seen the most AI startup activity over the past decade.

The figures in this graphic represent the number of newly funded AI startups within that country, in the time period of 2013 to 2023. Only companies that received over $1.5 million in private investment were considered.

 

 

Data and Highlights

The following table lists all of the numbers featured in the above graphic.

RankGeographic areaNumber of newly funded
AI startups (2013-2023)
1🇺🇸 United States5,509
2🇨🇳 China1,446
3🇬🇧 United Kingdom727
4🇮🇱 Israel442
5🇨🇦 Canada397
6🇫🇷 France391
7🇮🇳 India338
8🇯🇵 Japan333
9🇩🇪 Germany319
10🇸🇬 Singapore193
11🇰🇷 South Korea189
12🇦🇺 Australia147
13🇨🇭 Switzerland123
14🇸🇪 Sweden94
15🇪🇸 Spain94

From this data, we can see that the U.S., China, and UK have established themselves as major hotbeds for AI innovation.

In terms of funding, the U.S. is massively ahead, with private AI investment totaling $335 billion between 2013 to 2023. AI startups in China raised $104 billion over the same timeframe, while those in the UK raised $22 billion.

Further analysis reveals that the U.S. is widening this gap even more. In 2023, for example, private investment in the U.S. grew by 22% from 2022 levels. Meanwhile, investment fell in China (-44%) and the UK (-14.1%) over the same time span.

 

 

Where is All This Money Flowing To?

Quid also breaks down total private AI investment by focus area, providing insight into which sectors are receiving the most funding.

Focus AreaGlobal Investment in 2023
(USD billions)
🤖 AI infrastructure, research,
and governance
$18.3
🗣️ Natural language
processing
$8.1
📊 Data management$5.5
⚕️ Healthcare$4.2
🚗 Autonomous vehicles$2.7
💰 Fintech$2.1
⚛️ Quantum computing$2.0
🔌 Semiconductor$1.7
⚡ Energy, oil, and gas$1.5
🎨 Creative content$1.3
📚 Education$1.2
📈 Marketing$1.1
🛸 Drones$1.0
🔒 Cybersecurity$0.9
🏭 Manufacturing$0.9
🛒 Retail$0.7
🕶️ AR/VR$0.7
🛡️ Insurtech$0.6
🎬 Entertainment$0.5
💼 VC$0.5
🌾 Agritech$0.5
⚖️ Legal tech$0.4
👤 Facial recognition$0.3
🌐 Geospatial$0.2
💪 Fitness and wellness$0.2

Attracting the most money is AI infrastructure, research, and governance, which refers to startups that are building AI applications (like OpenAI’s ChatGPT).

The second biggest focus area is natural language processing (NLP), which is a type of AI that enables computers to understand and interpret human language. This technology has numerous use cases for businesses, particularly in financial services, where NLP can power customer support chatbots and automated wealth advisors.

With $8 billion invested into NLP-focused startups during 2023, investors appear keenly aware of this technology’s transformative potential.

Learn More About AI From Visual Capitalist

If you enjoyed this graphic, be sure to check out Visualizing AI Patents by Country.

 

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