Which Jobs Will Survive AI?
TLDRThis video tackles the impact of AI on the job market, systematically identifying occupations at risk of automation within the next five years. The host delves into research from the World Economic Forum and IMF, highlighting jobs likely to be displaced and those expected to grow, such as AI specialists and sustainability roles. The video concludes with strategies for adapting to these changes, including leveraging AI to enhance current roles or transitioning to emerging careers in technology and sustainability.
Takeaways
- 🔍 The video discusses the impact of AI on various jobs, predicting which may not survive the next 5 years based on extensive research.
- 🦩 The 'ostrich effect' is highlighted, where some people ignore the potential impact of AI on their careers, hoping the issue will pass them by.
- 📊 The Occupational Information Network (O*NET) database is used as a primary source for job information in the analysis.
- ⏳ The analysis is limited to the near future, acknowledging the unpredictability beyond 5 years, especially with rapid technological advancements.
- 🤖 The video mentions that certain technologies, like big data analytics and climate change mitigation, are expected to create jobs, while robots, both nonhumanoid and humanoid, are predicted to displace jobs.
- 📉 Jobs such as bank tellers and postal services are identified as being at high risk of displacement by AI and automation.
- 🛡️ Protective factors for jobs include digital access, energy transition, advanced technology, green jobs, education, and certain roles in healthcare and agriculture.
- 📈 The report from the International Monetary Fund (IMF) introduces the concepts of 'AI exposure' and 'complementarity' to determine job vulnerability to AI.
- 📊 High exposure to AI with low complementarity indicates jobs that are most at risk of being replaced, such as clerical support workers and certain service roles.
- 💼 The video suggests that individuals in at-risk roles should consider upskilling or transitioning to jobs that are less likely to be impacted by AI, such as AI specialists or sustainability roles.
- 🛠️ The importance of self-study and adaptability is emphasized for career longevity, as AI and technology continue to evolve and reshape job landscapes.
Q & A
What is the main purpose of the video?
-The main purpose of the video is to analyze and predict which jobs are likely to be impacted or eliminated due to advancements in AI and technology over the next 5 years, and to provide viewers with a plan and motivation for action.
What is the 'ostrich effect' mentioned in the video?
-The 'ostrich effect' is a metaphorical term used to describe the behavior of people who, like ostriches allegedly do, bury their heads in the sand to avoid facing danger or acknowledging a problem, such as the impact of AI on their careers.
What is the Occupational Information Network (O*NET) and why is it used in the video?
-The Occupational Information Network (O*NET) is a comprehensive database that provides information on various jobs, often used as a reference by researchers. It is used in the video to download tables of occupations and career clusters to help determine which jobs are likely to be impacted by AI.
What are the two major areas of focus in the 'Future of Jobs Report 2023' from the World Economic Forum?
-The two major areas of focus in the 'Future of Jobs Report 2023' are the labor market transformation and the job outlook, which includes the impact of technology adoption on jobs predicted from 2023 until 2027.
What are the technologies expected to create jobs according to the 'Future of Jobs Report 2023'?
-The technologies expected to create jobs include big data analytics, climate change mitigation technologies, and environmental management technologies.
Which jobs are predicted to cause the most job displacement according to the same report?
-The jobs predicted to cause the most job displacement are related to robots, specifically non-humanoid and humanoid robots.
What is the difference between 'job creators' and 'job displacers' in the context of the video?
-In the context of the video, 'job creators' are roles that are expected to generate new employment opportunities, while 'job displacers' are roles that are likely to be replaced or reduced due to automation and AI advancements.
What does the IMF report on 'AI and the Future of Work' focus on?
-The IMF report focuses on AI exposure and complimentarity, which is a framework for determining how likely jobs are to be replaced by AI based on the overlap between AI applications and required human abilities, as well as the degree of shielding from AI-driven job displacement.
What are the three groups of jobs identified in the IMF report based on AI exposure and complimentarity?
-The three groups are: jobs with high AI exposure and high complimentarity (less likely to be replaced), jobs with high AI exposure and low complimentarity (most at risk of displacement), and jobs with low AI exposure (less likely to be impacted by AI).
What advice does the video give to people whose jobs are likely to be impacted by AI?
-The video advises people to either tweak their current job by embracing and integrating AI to make it more productive and future-proof, or to consider transitioning to a new career path that is less likely to be impacted by AI and has growing demand.
What is the role of Coursera in the context of the video?
-Coursera is mentioned as a resource for people looking to change careers or upskill in response to the impact of AI. It offers industry-relevant education that can help individuals compete for jobs in growing sectors, such as tech and AI.
How does the video suggest people stay updated with AI advancements in their field?
-The video suggests keeping up with news in the AI space, trying out new AI tools as they become available, and being open to incorporating these technologies into one's work to enhance productivity and creativity.
What is the importance of self-studying according to the video?
-Self-studying is important as it enables individuals to keep up with technological advancements, allowing them to pivot to new opportunities or incorporate new technologies into their current roles, thus securing their careers in the face of AI advancements.
Outlines
🔍 Future Job Elimination by AI
The video begins with a direct approach to discussing the impact of AI on jobs, aiming to eliminate misconceptions and confront the reality of job displacement. The speaker has conducted extensive research, referencing various sources to identify which jobs are AI-proof and which are not. The 'ostrich effect' is mentioned, highlighting the tendency of some to ignore the potential impact of AI on their careers. The speaker introduces the methodology, which includes using the Occupational Information Network (O*NET) database and focusing on the near future, with disclaimers about the unpredictability beyond five years and the assumption of minimal government intervention. The process involves downloading and combining data sets to categorize jobs and analyze their susceptibility to AI automation, referencing the World Economic Forum's 'Future of Jobs Report 2023' for its rigorous methodology.
📉 Analyzing Job Displacement and Creation
This paragraph delves into the specifics of job displacement and creation, using data from the World Economic Forum. The speaker discusses the expected impact of technology adoption on jobs from 2023 to 2027, highlighting the roles of job creators and displacers. The focus is on the net effect of these technologies, with big data analytics, climate change mitigation, and environmental management technologies being job creators, while humanoid and non-humanoid robots are the main displacers. The speaker also examines the projected job creation and displacement, noting an estimated reduction of 14 million jobs, representing a 2% decrease in employment. The video aims to eliminate jobs from the list that are predicted to be significantly impacted, using career clusters for a more accurate assessment.
🛠️ AI Exposure and Complimentarity in Job Roles
The speaker introduces a framework from the International Monetary Fund report on AI and the future of work, focusing on AI exposure and complimentarity. AI exposure refers to the overlap between AI applications and human job requirements, while complimentarity indicates how likely an occupation is to be shielded from AI-driven displacement. The framework helps identify jobs that are highly exposed to AI with low shielding, making them more susceptible to replacement. Conversely, jobs with high exposure but high shielding are less likely to be replaced and may see increased productivity. The speaker uses this framework to infer which jobs are most at risk, such as clerical support workers, technicians, and service and sales workers, and contrasts them with those less likely to be impacted.
🚀 Navigating Career Transitions in the AI Era
The final paragraph addresses the implications for individuals whose jobs are likely to be impacted by AI. The speaker suggests two main strategies: adapting existing roles to integrate AI for increased productivity and exploring new career paths in growing fields. For those passionate about their current roles, the speaker encourages learning AI tools to enhance creativity and productivity. For those open to change, the speaker advises self-reflection to identify new career interests, especially in fields least impacted by AI, such as technology and education. The speaker also promotes self-study as a crucial skill for adapting to technological changes and pursuing new opportunities. The video concludes with a call to action for viewers to embrace AI and continuous learning to future-proof their careers.
Mindmap
Keywords
💡AI-proof
💡Ostrich effect
💡Occupational Information Network (O*NET)
💡Job displacement
💡Future of Jobs Report
💡AI exposure and complimentarity
💡Job creators and displacers
💡Career clusters
💡Sustainability specialist
💡Self-study
💡Coursera
Highlights
The video systematically eliminates jobs predicted not to survive the next 5 years based on extensive research.
The 'ostrich effect' is discussed, where people avoid acknowledging AI's impact on their careers.
The methodology uses data from the Occupational Information Network (O*NET).
Government intervention in technology's impact on jobs is assumed to be minimal.
The video acknowledges the exercise's limitations and potential to trigger viewers.
Two data sets from O*NET are combined using Chat GPT to streamline the process.
The World Economic Forum's 'Future of Jobs Report 2023' is cited for its rigorous methodology.
Technology adoption until 2027 is expected to create and displace jobs, with a net effect detailed.
AI and machine learning specialist roles are predicted to grow, while bank tellers and clerks face decline.
Jobs in protective factors like digital trade, energy transition, and education are less likely to be impacted.
The IMF's report on AI exposure and complimentarity provides a framework for job replacement likelihood.
High exposure and low complimentarity jobs are most at risk of being replaced by AI.
Clerks, finance and insurance roles, and human services are identified as clusters with significant job decline.
Environmental services, construction, teaching, and health care jobs are not significantly impacted by AI.
For jobs at risk of automation, the video suggests adapting roles by embracing AI to increase productivity.
Career changers are advised to reflect on their interests and target careers least impacted by AI.
Course Careers is recommended for those seeking to start or change careers in tech, with a focus on software engineering.
The importance of self-study and keeping up with technology for career longevity is emphasized.
Transcripts
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