Which Jobs Will Survive AI?

Tina Huang
3 Mar 202418:22

TLDRThis video discusses the impact of AI on the job market, predicting which jobs are likely to be automated or eliminated in the next five years. The host analyzes research from credible sources like the World Economic Forum and the International Monetary Fund, identifying high-risk occupations such as bank tellers and clerical workers. The video also offers advice on how to adapt to these changes, suggesting ways to enhance job security by embracing AI technology and upskilling. It encourages viewers to consider transitioning to roles in growing sectors like AI, machine learning, and sustainability, and highlights the importance of self-study and adaptability in the face of technological advancements.

Takeaways

  • 🔍 The video aims to identify jobs likely to be automated or eliminated in the next 5 years based on extensive research.
  • 📊 The methodology includes using data from the Occupational Information Network (O*NET) and considering government intervention.
  • 🤖 AI and humanoid robots are predicted to be the leading causes of job displacement.
  • 🌱 Jobs in big data analytics, climate change mitigation, and environment management are expected to grow.
  • 📉 The World Economic Forum's report highlights a net job loss of 14 million by 2027.
  • 🛡️ Protective factors against job displacement include digital access, energy transition, and green jobs.
  • 📈 The International Monetary Fund (IMF) report discusses AI exposure and complimentarity to determine job vulnerability.
  • 🚀 High-growth jobs include AI and machine learning specialists, sustainability roles, and tradespeople.
  • 📚 For jobs at risk, consider upskilling or transitioning to less vulnerable careers, utilizing online learning and AI tools.
  • 🤝 Networking and reaching out to professionals in desired fields can provide insights and opportunities for career change.
  • 💼 Course careers is mentioned as a platform that helps individuals transition into tech careers without traditional degrees.

Q & A

  • What is the main focus of the video?

    -The video focuses on analyzing and predicting which jobs are likely to be impacted or eliminated by artificial intelligence (AI) within the next 5 years.

  • What is the 'ostrich effect' mentioned in the video?

    -The 'ostrich effect' is a metaphorical term used to describe the behavior of people who ignore or deny the potential impact of AI on their careers, similar to how ostriches are falsely believed to bury their heads in the sand to avoid danger.

  • What are the two major sources of information used in the video to determine job impact?

    -The two major sources used are the 'Future of Jobs Report 2023' from the World Economic Forum and a report by the International Monetary Fund (IMF) on AI and the future of work.

  • Which technologies are expected to create jobs according to the video?

    -The technologies expected to create jobs include big data analytics, climate change mitigation technologies, and environmental management technologies.

  • What are the types of jobs most at risk of being displaced by AI?

    -Jobs most at risk include bank tellers, postal service workers, clerical workers, and roles in finance, insurance, and professional sales.

  • What jobs are projected to have growth in the future according to the video?

    -Jobs related to AI and machine learning, sustainability, environmental roles, hardware such as robotics, and education are projected to have growth.

  • How can individuals adapt to the changes brought by AI?

    -Individuals can adapt by learning new skills, embracing AI tools to enhance their current roles, or transitioning to careers that are less likely to be impacted by AI.

  • What is the role of Course Careers in the video?

    -Course Careers is mentioned as a platform that helps individuals transition into technical careers, particularly those aligned with AI, by providing education and mentorship directly relevant to entry-level positions.

  • What is the importance of self-study in the context of AI and job changes?

    -Self-study is crucial for staying updated with new technologies and incorporating them into one's skillset, allowing for adaptability and the ability to pivot to new career opportunities.

  • How does the video address the potential for AI to complement certain jobs rather than replace them?

    -The video discusses the concept of 'complementarity' from the IMF report, which suggests that some jobs, like those of judges, may be highly exposed to AI but are shielded from displacement due to societal factors, thus AI could complement and enhance these roles instead of replacing them.

Outlines

00:00

🤖 AI's Impact on Future Jobs

The video begins by addressing the inevitability of AI's impact on various jobs, dismissing the 'ostrich effect' where some people ignore the potential changes. The speaker has researched extensively to identify jobs at risk of automation within the next five years. The methodology involves using the Occupational Information Network (O*NET) database and considering government intervention and the rapid pace of technological change. The video aims to confront viewers with the truth about job displacement due to AI and provide a plan for action.

05:01

📊 Analyzing Job Displacement and Creation

The speaker outlines the methodology for analyzing job displacement and creation, focusing on the period up to five years into the future. The discussion includes the use of O*NET data, the impact of technology on job creation and displacement, and the importance of career clusters. The video highlights the World Economic Forum's report on the future of jobs, emphasizing the roles of big data analytics and AI specialists in job creation, while jobs like bank tellers face displacement. The speaker also mentions the International Monetary Fund's (IMF) framework for AI exposure and complimentarity, which predicts the likelihood of jobs being replaced by AI.

10:01

📉 Jobs at Risk and Growth Opportunities

The video presents a list of jobs that are likely to be eliminated or reduced in number, including various clerks, finance roles, and sales representatives. It contrasts these with jobs that are projected to grow, such as AI and machine learning specialists, sustainability experts, and those in environmental services. The speaker encourages viewers to adapt their careers by embracing AI and upskilling, and provides advice on how to pivot to more secure roles. The video also promotes Course Careers as a platform for career transformation, emphasizing its alignment with industry needs and the potential for job seekers to outcompete traditional college graduates.

15:03

🚀 Embracing AI for Career Advancement

The video concludes with strategies for individuals whose jobs may be affected by AI. It suggests ways to enhance current roles by integrating AI tools and technologies, and emphasizes the importance of self-study and adaptability. The speaker encourages viewers to explore new opportunities in AI and technology sectors, and to leverage online learning platforms like Course Careers to acquire relevant skills. The video ends with a call to action for viewers to take control of their career paths in the face of AI-driven changes.

Mindmap

Keywords

💡AI-proof jobs

Refers to occupations that are not likely to be replaced by artificial intelligence (AI) due to their complexity or the human touch they require. In the video, the speaker discusses the importance of identifying these jobs to prepare for the future job market, where AI is expected to impact many careers.

💡Ostrich effect

A metaphorical term used to describe the tendency of people to avoid acknowledging or confronting unpleasant realities, akin to the myth that ostriches bury their heads in sand. The video uses this term to highlight the denial some people have about the potential impact of AI on their jobs.

💡Occupational Information Network (O*NET)

A comprehensive database that provides detailed information on various occupations, including job descriptions, required skills, and potential career paths. In the video, the speaker uses O*NET to analyze job data and predict which jobs are likely to be affected by AI advancements.

💡Job displacement

The process by which jobs are eliminated or significantly reduced due to technological advancements, such as AI. The video discusses the concept of job displacement, particularly focusing on how AI and automation could lead to a decrease in certain job roles.

💡AI exposure and complimentarity

A framework used to assess the potential impact of AI on jobs. 'AI exposure' measures the overlap between AI applications and human tasks, while 'complimentary' refers to the degree to which a job is shielded from AI-driven displacement. The video uses this framework to analyze which jobs are most at risk of being replaced by AI.

💡Job creation

The process of generating new job opportunities, often as a result of technological advancements or changes in market demand. The video highlights certain fields, such as AI and machine learning, as areas where job creation is expected to grow in the coming years.

💡Digital access and digital trade-enabled jobs

Jobs that are facilitated or created by digital platforms and technologies. The video suggests that these types of jobs are less likely to be impacted by AI, as they often require human oversight and management, which AI cannot replicate.

💡Sustainability specialist

A professional who focuses on environmental sustainability, often working to mitigate climate change and promote eco-friendly practices. The video mentions this role as one of the jobs that is expected to grow, reflecting a societal shift towards prioritizing environmental concerns.

💡Self-study

The ability to independently learn and adapt to new information or skills. The video emphasizes the importance of self-study as a key skill for staying relevant in a rapidly changing job market, particularly in the context of AI and technological advancements.

💡Course Careers

A platform mentioned in the video that offers career-focused education and training, potentially replacing traditional college education. The video suggests that Course Careers can help individuals transition into tech-related careers, which are less likely to be automated and offer growth opportunities.

Highlights

The video aims to systematically eliminate jobs predicted to not survive the next 5 years based on AI impact.

The speaker has researched extensively on AI-proof and non-AI-proof jobs.

The term 'ostrich effect' is used to describe the denial of AI's impact on careers and life.

The methodology includes using the Occupational Information Network (O*NET) database for job information.

The speaker will focus on job displacement and creation from 2023 to 2027.

Government intervention in technology impact is not considered in the analysis.

The video discusses the expected impact of technology adoption on jobs, with big data analytics and climate change mitigation technologies as job creators.

Robots, both nonhumanoid and humanoid, are predicted to cause the most job displacement.

The speaker uses Chat GPT to combine data sets for analysis, humorously acknowledging the potential for AI to take over jobs.

The video references the World Economic Forum's report on the future of jobs and the impact of AI.

Jobs like AI machine learning specialist and sustainability specialist are expected to grow.

The International Monetary Fund's report on AI in the future of work is used as a source, focusing on AI exposure and complementarity.

Jobs with high AI exposure and low complementarity are most at risk of being replaced.

The speaker provides a list of jobs that are expected to decline significantly, including clerks and finance roles.

Jobs in environmental services, construction, teaching, and health care are not significantly declining and may increase.

The video offers advice for those whose jobs may be impacted, suggesting ways to adapt or change careers.

Course Careers is mentioned as a platform for learning tech skills and starting careers in AI and machine learning.

The video emphasizes the importance of self-study and adaptability in the face of AI advancements.