30 Jobs That Will Be Lost or Remain with ChatGPT!
With the rapid spread of AI and generative AI, how will our jobs, the way we work, and the skills we need to acquire change? In this issue, we summarize these considerations.
30 Jobs That Will Be Lost with ChatGPT
AI and automation are rapidly advancing and have the potential to replace or significantly alter a wide range of jobs. These jobs can be broadly categorized into three main categories: routine jobs, non-routine jobs, and creative jobs. Here are 10 examples for each category:
Routine Jobs:
Routine jobs involve repetitive tasks, which can be easily automated. Examples include:
1.1. Assembly line workers
1.2. Cashiers
1.3. Data entry clerks
1.4. Bank tellers
1.5. Telemarketers
1.6. Payroll clerks
1.7. Meter readers
1.8. Manufacturing machine operators
1.9. Insurance underwriters
1.10. Travel agents
Non-routine Jobs:
Non-routine jobs involve tasks that are less predictable and require some level of problem-solving, but can still be partially automated or augmented by AI. Examples include:
2.1. Truck and taxi drivers (due to self-driving vehicles)
2.2. Retail salespersons (due to advanced e-commerce and automated kiosks)
2.3. Customer service representatives (due to AI chatbots)
2.4. Paralegals (due to AI-powered legal research tools)
2.5. Radiologists (due to AI-powered medical image analysis)
2.6. Loan officers (due to AI-powered credit risk assessment tools)
2.7. Bookkeepers (due to AI-powered accounting software)
2.8. Warehouse workers (due to robotic automation)
2.9. Translators (due to AI-powered translation software)
2.10. Real estate agents (due to AI-powered property valuation tools)
Creative Jobs:
Creative jobs involve tasks that require human-like creativity, empathy, and critical thinking. While AI can assist and augment some aspects of these jobs, they are less likely to be fully replaced by AI. Examples include:
3.1. Graphic designers
3.2. Software developers
3.3. Marketing and advertising specialists
3.4. Teachers and educators
3.5. Social workers
3.6. Psychologists
3.7. Physicians and surgeons
3.8. Artists and musicians
3.9. Architects
3.10. Research scientists
It is important to note that the impact of AI on these jobs may not necessarily result in complete replacement but could lead to a transformation of roles and the emergence of new job opportunities that leverage human and AI collaboration.
30 Jobs That Will Be Lost with The Spread of Generative AI
Generative AI has the potential to greatly impact a wide range of jobs, especially those that involve content creation or problem-solving. We can broadly classify the jobs affected by generative AI into three additional categories: content creation, design and innovation, and decision-making.
Content Creation:
Generative AI can create various types of content, such as text, images, audio, and video. Jobs that involve content creation may be significantly altered or replaced by generative AI. Examples include:
1.1. Content writers and copywriters
1.2. Journalists and reporters
1.3. Social media managers
1.4. SEO specialists
1.5. Public relations specialists
1.6. Video editors
1.7. Audio engineers
1.8. Photographers (for stock images)
1.9. Graphic designers (for template-based designs)
1.10. Meme creators
Design and Innovation:
Generative AI can also help in the design and innovation process, allowing for rapid prototyping, testing, and iteration. Jobs that involve design and innovation may be affected. Examples include:
2.1. Industrial designers
2.2. Fashion designers
2.3. Game designers
2.4. User interface (UI) and user experience (UX) designers
2.5. Product developers
2.6. Landscape architects
2.7. 3D modelers
2.8. Packaging designers
2.9. Urban planners
2.10. Interior designers
Decision-making:
Generative AI can assist or replace certain aspects of decision-making in various fields, as it can analyze vast amounts of data and generate potential solutions or strategies. Examples include:
3.1. Financial analysts and advisors
3.2. Business consultants
3.3. Human resources recruiters
3.4. Supply chain managers
3.5. Risk analysts
3.6. Marketing strategists
3.7. Investment managers
3.8. Energy consultants
3.9. Operations researchers
3.10. Logistics planners
It is essential to understand that generative AI's impact on these jobs may not lead to complete replacement but rather a transformation of roles. Human expertise, creativity, and critical thinking will remain valuable, and collaboration between humans and AI will likely become increasingly important in these fields.
Jobs that will disappear or remain due to AI and generative AI (Example of Strategy Consultant)
While AI and generative AI have the potential to significantly impact the role of business consultants, it's important to remember that these technologies are more likely to augment and transform the job rather than replace it entirely. Business consultants perform a variety of tasks, some of which may be automated or enhanced by AI, while others may still require human intuition, empathy, and interpersonal skills.
Jobs/tasks that may be replaced or enhanced by AI in business consulting:
Jobs and tasks that are more susceptible to AI enhancement or replacement tend to involve repetitive, data-intensive, or computational processes. These tasks often require the analysis of large volumes of data or the identification of patterns and trends, which AI algorithms can perform more efficiently and accurately than humans. AI's capacity for processing vast amounts of data quickly allows it to automate tasks like data analysis, market research, and performance tracking. Moreover, AI's predictive capabilities can improve forecasting and optimization efforts, enabling more informed decision-making and recommendations for clients. Overall, AI's ability to automate and enhance these tasks leads to increased efficiency, accuracy, and insights in business consulting.
Data analysis: AI can analyze large datasets more efficiently and quickly than humans, allowing consultants to identify trends, patterns, and opportunities for clients more effectively.
Forecasting: AI-powered predictive analytics can provide more accurate forecasts and identify potential risks, helping consultants make more informed recommendations.
Market research: AI can automate the process of gathering and analyzing market data, allowing consultants to quickly understand the competitive landscape.
Optimization: AI can help identify the most efficient processes, resource allocation, and cost-saving strategies for a business.
Performance tracking: AI can automate the monitoring and reporting of key performance indicators (KPIs) and other business metrics.
Jobs/tasks that are less likely to be replaced by AI in business consulting:
Jobs and tasks that are less likely to be replaced by AI in business consulting typically involve human-centric skills such as creativity, empathy, intuition, and interpersonal communication. These tasks often require understanding complex human dynamics, building trust and rapport with clients, and adapting to unique business contexts and goals. While AI can provide valuable information and analysis, developing comprehensive business strategies and tailored solutions necessitates a human touch. Furthermore, change management, relationship building, and delivering presentations or workshops require emotional intelligence and the ability to navigate diverse audiences – skills that AI has yet to fully replicate. In these areas, the human element remains crucial for success in business consulting.
Strategy development: While AI can help inform decision-making, developing a comprehensive business strategy still requires human intuition, creativity, and understanding of the client's unique context and goals.
Relationship building: Establishing trust and rapport with clients is a critical aspect of consulting that relies on strong interpersonal and communication skills.
Change management: Guiding businesses through complex organizational change requires empathy, leadership, and the ability to navigate human dynamics, which are areas where AI may struggle.
Tailored solutions: Every business is unique, and consultants must be able to adapt their approach and recommendations based on the specific needs and goals of their clients, which often requires human intuition and flexibility.
Presentations and workshops: Business consultants often present findings and recommendations to clients or facilitate workshops for employees. These tasks require strong communication skills, the ability to read the room, and adapt to different audiences – skills that are still uniquely human.
In summary, AI and generative AI will likely transform the role of business consultants by automating and enhancing certain tasks, but the human element in consulting – including creativity, empathy, and interpersonal skills – will remain valuable and difficult to replace.
Human-Centric Skills Required in An Era of Expanding AI and Generative AI
As AI and generative AI continue to advance and impact various industries, certain human skills will remain crucial and difficult for AI to replicate fully. Here are some important human-centric skills that will continue to be valuable in the era of AI:
Emotional intelligence: The ability to understand, interpret, and respond to emotions in oneself and others is a critical human skill that AI has yet to fully master. This skill is essential for effective communication, empathy, and building relationships in both personal and professional contexts.
Creativity and innovation: While AI can generate content and assist in problem-solving, human creativity remains vital for developing groundbreaking ideas, artistic expressions, and innovative solutions. Human intuition and the ability to make connections between seemingly unrelated concepts are key drivers of creativity and innovation.
Critical thinking and judgment: Humans excel at evaluating complex situations, considering multiple perspectives, and making informed decisions. This ability to think critically and apply judgment will remain crucial, especially in situations where AI-generated recommendations need to be assessed or adjusted based on unique contexts or ethical considerations.
Adaptability and learning: The ability to learn, adapt, and embrace change is essential in a rapidly evolving world. While AI can be trained to perform specific tasks, humans have the advantage of being able to learn from diverse experiences and adapt to new situations and challenges.
Leadership and management: Leading and managing teams, driving organizational change, and inspiring others require strong interpersonal skills, empathy, and emotional intelligence – qualities that are still uniquely human. AI may provide support and insights, but effective leadership and management require human understanding and guidance.
Collaboration and teamwork: Working effectively with others, both within and across disciplines, remains an important human skill. While AI can provide tools and support, successful collaboration hinges on the ability to communicate, understand diverse perspectives, and find common ground.
Communication and storytelling: The ability to communicate ideas effectively, persuade others, and convey complex information through storytelling is a valuable skill that transcends industries. AI may generate content, but crafting compelling narratives and connecting with audiences on an emotional level are still human strengths.
Cultural awareness and sensitivity: Understanding and appreciating different cultures, values, and customs is essential in an increasingly interconnected world. This cultural awareness allows humans to navigate diverse environments, foster inclusivity, and build strong relationships that AI might struggle to achieve.
As the landscape of work continues to evolve, these uniquely human skills will become increasingly important, enabling humans to collaborate with AI and remain relevant in the workforce.
30 Jobs That Will Shine in An Era of AI and Generative AI
Here is a list of top 30 jobs where human-centric skills will play a critical role and be key to success, even as AI continues to advance:
Clinical psychologist/therapist
Social worker
Human resources manager
Teacher/educator
Healthcare professional (e.g., nurse, physician, surgeon)
User experience (UX) designer
Marketing and advertising specialist
Public relations manager
Sales manager
Corporate trainer
Event planner
Customer service manager
Executive coach
Negotiator and mediator
Occupational therapist
Speech-language pathologist
Art director
Filmmaker and video producer
Community and social services manager
Product manager
Project manager
Organizational development consultant
Talent acquisition and recruitment specialist
Diversity and inclusion officer
Non-profit manager
Entrepreneur
Architect and urban planner
Professional coach (e.g., life, career, or wellness coach)
Journalist and editor
Public speaker and motivational speaker
These jobs require a range of human-centric skills, such as emotional intelligence, creativity, critical thinking, adaptability, leadership, collaboration, communication, and cultural awareness. While AI may support or enhance certain aspects of these roles, the unique human touch remains crucial for success in these professions.
Examples of Tasks to Be Shared between Humans and AI in the 30 Jobs
Of the 30 jobs described above that will increasingly shine in an era of expanding AI and generative AI, not all tasks will be performed by humans. In the following, we have listed examples of tasks within the 30 jobs, categorizing them as (a) Tasks that remain for humans, (b) Tasks partially replaced by AI, and (c) Tasks fully replaced by AI.
(a) Tasks that remain for humans predominantly involve emotional intelligence, empathy, creativity, critical thinking, interpersonal communication, and adaptability. These tasks require understanding complex human dynamics, building trust and rapport, and navigating unique situations. Examples include building rapport with patients or clients, facilitating workshops, providing emotional support, creating innovative strategies, and managing teams. These tasks rely on human intuition and empathy, which are difficult for AI to replicate.
(b) Tasks partially replaced by AI are those where AI can support or enhance human efforts, without entirely replacing the human element. This often involves data-driven processes, where AI can provide insights or automate certain aspects, but still require human intervention for decision-making, interpretation, or adjustment. Examples include diagnostics, analytics, content creation, and treatment planning. In these tasks, AI can provide valuable information and analysis, but human judgment and contextual understanding are necessary to make appropriate decisions or recommendations.
(c) Tasks fully replaced by AI are typically repetitive, well-defined, or administrative tasks that do not require a high level of human intuition or creativity. AI can automate these tasks efficiently, reducing the workload for humans and allowing them to focus on more complex or creative tasks. Examples include appointment scheduling, reminders, payroll processing, and automated emails. These tasks can be performed by AI with a high level of accuracy and efficiency, without the need for human intervention
Summary and Note (Must-Read)
Now, in a world where AI and generative AI are quickly spreading and automation of various tasks is rapidly evolving, we hope that you have gained a better understanding of what jobs will disappear and what jobs will remain, as well as the skills and occupations where humanity can shine.
We hope that these contents will serve as a guideline for your future learning and reskilling.
One final note at the end of this post. As you may have guessed, the majority of the articles in this NOTE are AI-generated content in response to my questions, utilizing ChatGPT (GPT4 engine). While some of the content itself may have been convincing, I do not know the true source of the list of occupations and discussion of required skills, so please do not use it as the basis for your important documentation or decision-making. Please do not take offense if you read this as an experimental effort using generative AI.
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