Artificial intelligence (AI) is a rapidly evolving technology that has the potential to transform many aspects of our society and economy. AI can perform tasks that require human intelligence, such as understanding natural language, recognizing images, generating content, and making decisions. AI can also automate repetitive and mundane tasks, such as data entry, customer service, and accounting.

However, not all jobs are equally vulnerable to AI disruption. Some jobs require creativity, empathy, social skills, or physical abilities that are hard to replicate by machines. Other jobs involve complex problem-solving, ethical judgment, or human supervision that are beyond the current capabilities of AI.

In this article, we will look at some of the jobs that are most likely to be replaced by AI in the near future, based on the opinions of experts and the latest research. We will also briefly mention some of the jobs that are least likely to be replaced by AI, at least for now.

1. Content Marketers

Content marketing is a strategy that involves creating and distributing valuable, relevant, and consistent content to attract and retain a clearly defined audience. Content marketers use various types of content, such as web articles, videos, podcasts, social media posts, newsletters, and ebooks, to educate, entertain, or persuade potential customers.

However, content marketing is also a job that could be disrupted by AI tools like ChatGPT¹, a generative AI model that can produce original text from a simple prompt. ChatGPT can write cover letters², create a children’s book³, and even help students cheat on their essays⁴. ChatGPT can also generate web articles on various topics with human-like quality and style.

While ChatGPT may not be able to replace all types of content marketing, it could certainly automate some of the more routine and low-value tasks, such as writing product descriptions, blog posts, social media captions, or email newsletters. Content marketers may need to focus more on creating high-quality and engaging content that showcases their creativity and expertise.

2. Journalists

Journalism is another profession that relies heavily on writing skills and producing content for various media platforms. Journalists research, report, interview, edit, and publish news stories on current events and issues that affect the public.

However, journalism is also a profession that faces competition from AI tools like ChatGPT and other natural language generation (NLG) systems. NLG systems can automatically produce news articles from structured data sources, such as sports scores, financial reports, or weather forecasts. NLG systems can also summarize long articles into shorter ones, or rewrite articles in different languages.

While NLG systems may not be able to replace all types of journalism, they could certainly automate some of the more factual and straightforward reporting tasks, such as covering breaking news, sports events, or earnings releases. Journalists may need to focus more on investigative reporting, analysis, commentary, or storytelling that requires human insight and perspective.

3. Graphic Artists

Graphic design is a creative process that involves combining text and graphics to communicate a message or idea visually. Graphic designers use various tools and techniques to create logos, icons, illustrations, posters, flyers, brochures, websites, apps, games, animations, and more.

However, graphic design is also a creative process that could be influenced by AI tools like graphic_art, a generative AI model that can create graphical artwork from a simple prompt. Graphic_art can produce realistic images of objects, animals, landscapes, or faces. Graphic_art can also generate abstract images of patterns, shapes, or colors.

While graphic_art may not be able to replace all types of graphic design, it could certainly assist or inspire graphic designers in creating original and diverse visual content. Graphic designers may need to focus more on understanding the needs and preferences of their clients and audiences, and applying their artistic vision and style.

4. Data Analysts

Data analysis is a process that involves collecting, organizing, processing, exploring, and interpreting data to extract meaningful insights and information. Data analysts use various tools and methods to perform data analysis, such as statistics, mathematics, programming, machine learning, visualization, and reporting.

However, data analysis is also a process that could be enhanced by AI tools like ChatGPT and other natural language processing (NLP) systems. NLP systems can automatically perform data analysis tasks, such as querying databases, generating charts, writing summaries, or answering questions. NLP systems can also understand natural language commands or queries, and generate natural language responses or explanations.

While NLP systems may not be able to replace all types of data analysis, they could certainly automate some of the more tedious and routine tasks, such as data cleaning, preprocessing, or formatting. Data analysts may need to focus more on identifying the right data sources and questions, applying the appropriate analytical techniques and models, and communicating the results and implications effectively.

5. Programmers and Coders

Programming and coding are skills that involve writing, testing, debugging, and maintaining computer programs or software applications that perform specific tasks or functions. Programmers and coders use various languages and frameworks to create software, such as Python, Java, C++, Ruby, HTML, CSS, JavaScript, and more.

However, programming and coding are also skills that could be challenged by AI tools like ChatGPT and other code generation systems. Code generation systems can automatically produce code from natural language descriptions, diagrams, or examples. Code generation systems can also generate code for different platforms or languages, or optimize code for performance or efficiency.

While code generation systems may not be able to replace all types of programming and coding, they could certainly automate some of the simpler and repetitive tasks, such as writing boilerplate code, converting code formats, or fixing bugs. Programmers and coders may need to focus more on designing the architecture and logic of software systems, solving complex problems and algorithms, and ensuring the quality and security of software products.

6. Customer Service Representatives

Customer service is a function that involves interacting with customers or clients to provide information, support, or assistance regarding a product or service. Customer service representatives use various channels to communicate with customers, such as phone, email, chat, or social media.

However, customer service is also a function that could be replaced by AI tools like ChatGPT and other conversational AI systems. Conversational AI systems can automatically handle customer inquiries, requests, or complaints using natural language understanding, dialogue management, and natural language generation. Conversational AI systems can also provide personalized and consistent responses, 24/7 availability, and faster resolution times.

While conversational AI systems may not be able to replace all types of customer service, they could certainly replace some of the more common and routine tasks, such as answering FAQs, booking appointments, updating account information, or processing orders. Customer service representatives may need to focus more on handling complex or sensitive issues, building rapport and trust with customers, or upselling and cross-selling products or services.

7. Accountants

Accounting is a profession that involves measuring, processing, analyzing, and reporting financial information for individuals, businesses, or organizations. Accountants use various tools and standards to perform accounting tasks, such as bookkeeping, auditing, taxation, budgeting, forecasting, and reporting.

However, accounting is also a profession that could be affected by AI tools like ChatGPT and other intelligent automation systems. Intelligent automation systems can automatically perform accounting tasks, such as recording transactions, reconciling accounts, preparing tax returns, generating financial statements, or providing financial advice. Intelligent automation systems can also improve the accuracy, efficiency, and compliance of accounting processes.

While intelligent automation systems may not be able to affect all types of accounting tasks, they could certainly affect some of the more manual and rule-based tasks, such as data entry, verification, calculation, or classification. Accountants may need to focus more on providing strategic insights, recommendations, or consulting services to their clients or stakeholders.

8. Lawyers

Law is a profession that involves applying legal knowledge and skills to various situations or cases that involve rights, obligations, or disputes between parties. Lawyers use various sources and methods to perform legal tasks, such as researching laws and precedents, drafting contracts and documents, filing motions and pleadings, negotiating settlements, or representing clients in court.

However, law is also a profession that could be impacted by AI tools like ChatGPT and other legal technology systems. Legal technology systems can automatically perform legal tasks, such as reviewing contracts, analyzing documents, predicting outcomes, or generating legal advice. Legal technology systems can also reduce the time, cost, and error of legal processes.

While legal technology systems may not be able to impact all types of legal tasks, they could certainly impact some of the more standard and repetitive tasks, such as contract review, due diligence, discovery, or compliance. Lawyers may need to focus more on providing creative solutions, persuasive arguments, or ethical guidance to their clients or cases.

Conclusion

AI is a powerful technology that can perform many tasks that require human intelligence or skills. However, AI is also a disruptive technology that can replace many jobs that are vulnerable to automation. In this article, we have listed some of the top jobs that will be replaced by AI in the near future, such as content marketers, journalists, graphic artists, data analysts, programmers and coders, customer service representatives, accountants, and lawyers. These jobs are likely to be replaced by AI because they involve tasks that are routine, repetitive, factual, or rule-based. However, these jobs are not doomed to disappear completely. Instead, they may require more human skills that are hard to replicate by machines, such as creativity, empathy, social skills, problem-solving, ethical judgment, or human supervision. Therefore, workers in these jobs may need to adapt to the changing demands of their professions and develop new skills and competencies that complement AI. Alternatively, they may need to switch to other jobs that are less likely to be replaced by AI, such as teachers, therapists, artists, musicians, writers, or entrepreneurs. These jobs are less likely to be replaced by AI because they involve tasks that are complex, creative, emotional, or personal.