Jobs most affected by ChatGPT and similar AI models
On November 30, 2022, OpenAI ushered in a new era of artificial intelligence (AI) by introducing ChatGPT to the world.
The AI chatbot surprised users with its human-like thoroughness. ChatGPT can understand and answer a variety of questions, make suggestions, research and write essays and briefs, and even tell jokes (among other tasks).
Many of these skills are used in their jobs by workers around the world, raising questions such as: Which jobs will be transformed or replaced by generative AI in the near future? Is not it?
This infographic from Harrison Shell Visualize OpenAI’s March 2023 findings on the potential labor market impact of Large Language Models (LLM) and various applications of generative AI, including ChatGPT.
methodology
The OpenAI working paper specifically explored the US industries and jobs most “exposed” to large-scale language models like GPT, on which the chatbot ChatGPT operates.
Key to this paper is the definition of what “exposure” really means.
“We proxy potential economic impacts without distinguishing between labor augmentation and labor replacement effects.” – OpenAI
The results, therefore, include both jobs that humans could potentially optimize using AI and jobs that could be fully automated.
OpenAI found that 80% of the US workforce belongs to the following occupations: at least 10% Most of their tasks can be performed (or assisted) by AI.One-fifth of the workforce belonged to the following occupations 50% of work tasks It will be affected by artificial intelligence.
Jobs most and least at risk of AI disruption
Below is a list of jobs that are likely (or already seen) to be disrupted by AI, highlighted in the paper. AI can reduce the time it takes to perform occupation-related tasks. at least 50%.
The analysis was provided by various artificial and ChatGPT-4 models and the results of both are presented below.
| job | By classification | AI exposure |
|---|---|---|
| accountant | AI | 100% |
| Admin and Legal Assistant | AI | 100% |
| Climate Change Policy Analyst | AI | 100% |
| reporter/journalist | AI | 100% |
| Mathematician | humans and AI | 100% |
| tax accountant | human | 100% |
| financial analyst | human | 100% |
| writer and author | human | 100% |
| Web designer | human | 100% |
| blockchain engineer | AI | 97.1% |
| court reporter | AI | 96.4% |
| proofreader | AI | 95.5% |
| correspondent | AI | 95.2% |
| researcher | human | 84.0% |
| Interpreter/Translator | human | 82.4% |
| PR specialist | human | 80.6% |
| animal scientist | human | 77.8% |
Editor’s Note: This paper only highlights some of the work that is affected. One AI model found a list of 84 additional jobs that were “fully published”, but not all were listed. One human model found 15 additional “fully published” jobs not listed.
In general, we found that jobs that required repetitive tasks, some degree of data analysis, and routine decision-making were at the highest risk of exposure.
Not surprisingly, the “information processing industry,” which involves writing, computing, and advanced analytics, is more likely to be exposed to LLM-based artificial intelligence.However, the work of science and critical thinking within these industries negatively Correlates with exposure to AI.
Conversely, not all jobs are likely to be affected.Click here for a list of possible jobs Even if only slightly Massive language models are subject to AI chaos.
| Jobs Least Impacted by AI | |
|---|---|
| athlete | quick cook |
| Large equipment operator | Barber/hair stylist |
| glass installers and repairers | dredge operator |
| auto mechanic | Power line installer/repairer |
| mason, carpenter, roofer | oil field maintenance worker |
| plumber, painter, plumber | servers, dishwashers, bartenders |
Not surprisingly, hands-on industries such as manufacturing, mining, and agriculture were more protected, but still include information processing roles that are at risk.
Similarly, the face-to-face service industry is also expected to be minimally impacted by this kind of AI model. However, patterns are beginning to emerge for job seekers and industries that will soon have to contend with artificial intelligence.
The impact of artificial intelligence on different levels of work
OpenAI analyzed the correlation between AI exposure in the labor market and the level of education, wages and training required for the job.
The paper found that higher paying jobs had more exposure to LLM-based AI (although there were also many lower paying jobs with higher exposure).
| job parameters | AI exposure correlation |
|---|---|
| wage | directly |
| education | directly |
| training | reverse |
Highly educated professionals also appeared to be more exposed to AI than less educated professionals.
However, occupations with high levels of on-the-job training had the lowest amount of work tasks exposed compared to occupations with little or 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 possible, and the exact tasks required.
However, while certain repetitive and predictable tasks can be automated, others require intangibles such as creative input, understanding cultural nuances, reading social cues, and exercise good judgment. cannot be completely unmanned yet.
And keep in mind that exposure to AI isn’t limited to work replacementMany of these scenarios are very likely to see job transformation where employees take advantage of AI to speed up or improve task output. Already, there are job ads for “AI whisperers” who can effectively optimize automated responses from generalist AI.
The AI arms race is moving forward at a rapid pace rarely seen in the history of technology, so it’s been a long time since we’ve seen ChatGPT and other LLMs fully impacting both jobs and the economy. It won’t take long.
