AI
Which Jobs Will Be Most Impacted by ChatGPT?
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 By | AI Exposure |
---|---|---|
Accountants | AI | 100% |
Admin and legal assistants | AI | 100% |
Climate change policy analysts | AI | 100% |
Reporters & journalists | AI | 100% |
Mathematicians | Human & AI | 100% |
Tax preparers | Human | 100% |
Financial analysts | Human | 100% |
Writers & authors | Human | 100% |
Web designers | Human | 100% |
Blockchain engineers | AI | 97.1% |
Court reporters | AI | 96.4% |
Proofreaders | AI | 95.5% |
Correspondence clerks | AI | 95.2% |
Survey researchers | Human | 84.0% |
Interpreters/translators | Human | 82.4% |
PR specialists | Human | 80.6% |
Animal scientists | Human | 77.8% |
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 | |
---|---|
Athletes | Short-order cooks |
Large equipment operators | Barbers/hair stylists |
Glass installers & repairers | Dredge operators |
Automotive mechanics | Power-line installers/repairers |
Masons, carpenters, roofers | Oil field maintenance workers |
Plumbers, painters, pipefitters | Servers, 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 Parameter | AI Exposure Correlation |
---|---|
Wages | Direct |
Education | Direct |
Training | Inverse |
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.
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.
AI
Charted: Nvidia’s Quarterly Revenue (Q1 2021-Q2 2025)
Nvidia beat Wall Street estimates for its second-quarter revenue for fiscal 2025, signalling that the AI boom is far from slowing down.
Nvidia’s Quarterly Revenue (Q1 2021-Q2 2025)
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.
Nvidia has been the center of attention of the artificial intelligence (AI) boom, and its earnings are seen as a key indicator of the health of the AI industry, according to financial experts.
As the second-most valuable company in the world, the chipmaker dominates the AI chip design and software market with a market share of 80% to 95%, according to Reuters.
This chart shows the rise of Nvidia’s quarterly earnings from Q1 2021 to Q2 2025, with figures from Nvidia’s quarterly financial reports updated as of August 28, 2024.
Nvidia Beats Second-Quarter Estimates
Nvidia reported $30 billion in second quarter revenue for fiscal year 2025, beating Wall Street estimates of $28.7 billion by about 4.5%.
This beat on earnings estimates came as Wall Street analysts have begun to question if the current hype around AI is a bubble on the verge of bursting, and if generative AI will actually be worth the significant capital invested in it so far.
Below are Nvidia’s quarterly revenue figures from their fiscal year 2021 to 2025.
For reference, Nvidia’s fiscal year ends on the last Sunday of January, with their fiscal year labeled according to the calendar year in which the fiscal year ends. This means that since their current fiscal year ends in January 2025, the quarter they just reported is labeled Q2 2025.
Quarter | Nvidia's revenue |
---|---|
Q2 2025 Estimate | $28.7B |
Q2 2025 | $30.0B |
Q1 2025 | $26.0B |
Q4 2024 | $22.1B |
Q3 2024 | $18.1B |
Q2 2024 | $13.5B |
Q1 2024 | $7.2B |
Q4 2023 | $6.1B |
Q3 2023 | $5.9B |
Q2 2023 | $6.7B |
Q1 2023 | $8.3B |
Q4 2022 | $7.6B |
Q3 2022 | $7.1B |
Q2 2022 | $6.5B |
Q1 2022 | $5.7B |
Q4 2021 | $5.0B |
Q3 2021 | $4.7B |
Q2 2021 | $3.9B |
Q1 2021 | $3.1B |
Nvidia’s Q2 2025 revenue figure of $30 billion is a 15% increase from last quarter and a 122% increase year-over-year. While these figures are impressive, their quarterly revenue growth is starting to show signs of slowing momentum, as the previous three quarters had quarterly growth of 18% (Q1 2025), 22% (Q4 2024), and 34% (Q3 2024).
Nvidia’s main source of revenue comes from its data center business, which includes its AI processors. Its data center generated a record $26.3 billion this quarter, accounting for 88% of the AI giant’s total revenue.
The company said it is currently shipping out samples of its newest next-generation Blackwell GPU architecture to customers.
Nvidia CFO Colette Kress said the company expects to ship “several billion dollars” of Blackwell revenue in the fourth quarter of fiscal 2025.
Nvidia expects to generate $32.5 billion in revenue next quarter, plus or minus 2%.
Learn More on the Voronoi App
To learn more about Nvidia’s financial performance, check out this graphic that compares Nvidia’s market cap to several other major tech companies.
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