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.
Technology
Ranked: The Biggest AI Funding Rounds of 2025 So Far
See the biggest AI deals of 2025 so far, including multi-billion dollar raises from OpenAI, Scale, and xAI.

The Biggest AI Funding Rounds of 2025 So Far
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.
Key Takeaways
- OpenAI is dominating 2025’s funding landscape, raising significantly more than any other company on the list
- Scale secured the second-largest round through a deal with Meta, which took a 49% non-voting stake in the company and recruited Scale CEO Alexandr Wang to lead its new superintelligence division
In just the first half of 2025, AI startups have secured eye-popping investment, reflecting increasing confidence in the technology’s transformative potential.
In this graphic, we visualize the biggest AI deals of 2025 as of July 8. This ranking highlights who received the most capital, as well as which investors are shaping the next wave of AI innovation.
Editor’s Note:
Data & Discussion
The data for this visualization was compiled by BestBrokers.com. It ranks the top 10 AI funding rounds of 2025 by deal value, alongside company valuations and notable investors.
Company | Deal Value | Company Valuation | Investor(s) |
---|---|---|---|
OpenAI | $40B | $300B | Microsoft SoftBank Group Founders Fund Magnetar Capital |
Scale AI | $14.3B | $29B | Meta |
xAI | $10B | $80B pre raise | Morgan Stanley Others unannounced |
Anthropic | $3.50B | $61.5B | Lightspeed Venture Partners Salesforce Ventures Alphabet |
Infinite Reality | $3.00B | $15.5B | Sky Sports T-Mobile Ventures World Wrestling Entertainment |
Safe Superintelligence | $2.00B | $32B | Greenoaks Alphabet Andreessen Horowitz |
Groq | $1.50B | $2.8B | Kingdom of Saudi Arabia |
Anysphere | $900M | $9B | Thrive Capital Accel Andreessen Horowitz |
Lambda | $480M | $2.5B | Andrej Karpathy NVIDIA ARK Invest Fincadia Advisors |
Runway | $310M | $3B | General Atlantic Baillie Gifford Fidelity Investments NVIDIA |
OpenAI Continues to Lead
At the top of the list is OpenAI, with a massive $40 billion funding round that puts its valuation at $300 billion.
The round is backed by names like Microsoft and SoftBank, but has a major stipulation: OpenAI must transition from its current hybrid nonprofit structure to a fully independent for-profit entity by Dec. 31, 2025.
Shortly after the deal was announced, OpenAI stated it would remain under the control of its nonprofit parent, while restructuring its for-profit arm to be able to raise more capital. Lead investor, SoftBank, says it will reduce its contribution to $20 billion from $30 billion if the transition does not happen on schedule.
Scale AI’s Strategic Expansion with Meta
Meta invested $14.3 billion in ScaleAI in June 2025, acquiring a 49% non-voting stake and increasing the firm’s valuation to $29 billion.
Critically, the deal means Scale CEO Alexandr Wang will transition to Meta to co-lead its Superintelligence Lab, a newly created AI division that will centralize Meta’s AI research and development.
Specialized Startups Raise Billions
Lesser known startups like Infinite Reality and Safe Superintelligence also secured multibillion-dollar rounds.
Infinite Reality, which has raised $3 billion so far this year, is capitalizing on the growing demand for immersive experiences. The company builds virtual environments that integrate entertainment, e-commerce, and social interaction—targeting brands and creators looking to engage audiences in novel digital spaces.
Safe Superintelligence, on the other hand, focuses on AI alignment and long-term safety. Founded by ex-OpenAI researchers, the startup is pursuing a focused mission: building a superintelligence that is safe by design.
Learn More on the Voronoi App 
If you enjoyed today’s post, check out Global Unicorn Hotspots in 2025 on Voronoi, the new app from Visual Capitalist.
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