What are the fastest growing jobs through 2035?

TL;DR

Management analysts, nurses and data scientists are among the fastest growing careers through 2035, even with rising AI exposure. The video ranks ten growing occupations by median salary, explains AI augmentation versus replacement risk, and highlights five shrinking jobs, plus a practical exercise to rebalance repetitive tasks with AI to reclaim time and grow higher value work.

Transcript

More than 750,000 office and administrative support [music] jobs are projected to disappear from the US economy by 2035. And at the same time, some professions are projected to grow by more than 40%. So if you're choosing what to study, think about changing careers or wondering whether your skills will still be valuable in 5 years, this video will ... Read More

Key Insights

• AI exposure does not equal job elimination; many high exposure roles continue to grow.
• Nurse practitioners are identified as the fastest growing occupation due to aging and healthcare demand.
• Healthcare management roles combine clinical and operational skills and offer a nonclinical path with strong growth.
• Data scientists remain in demand because AI automates middle tasks but leaves ends like question framing and trust assessment.
• Software development remains strong with AI, but workers must adapt and upskill to leverage AI effectively.
• Constructions managers connect AI-driven projects to real world builds, showing AI affects physical infrastructure as well.
• Information security analysts grow as AI raises new risks and attackers become more capable.
• The video promotes a simple exercise to test AI on a repetitive task to redefine one’s role and time allocation.

Questions & Answers

Q: A real search query question about the video (e.g. 'How to...', 'What is...', 'Why does...'). Question 1

What jobs are projected to grow the most through 2035 and how does AI exposure influence that growth? The video explains that ten occupations with high growth are ranked by median salary and that AI exposure measures how much a job can be augmented by AI. Importantly, high AI exposure does not imply future decline; many of these roles still expand as AI handles routine steps while humans focus on higher value tasks.

Q: Question 2

How does the video describe the relationship between AI and job replacement risk versus augmentation risk? It emphasizes that AI can automate repetitive middle tasks but cannot replace human ends like judgment, patient interaction, or complex decision making in fields such as healthcare. The takeaway is to use AI to enhance productivity and reallocate time to high-skill activities.

Q: Question 3

Why are nurse practitioners highlighted as the fastest growing occupation and what factors contribute to this trend? The video notes aging populations and the healthcare demand driving growth, plus regulatory and education pathways that enable nurse practitioners to take on expanded roles. It also stresses that physician shortages amplify the need for advanced nursing providers.

Q: Question 4

What role do data scientists play in the AI era according to the video, and why does demand stay high? Data scientists grow because AI shifts the middle of the workflow toward automation, but the ends of the process—question formulation and trust evaluation—remain human tasks. This keeps demand high for practitioners who can design, validate, and interpret models.

Q: Question 5

How does the video describe the nonclinical route into healthcare management and why is it valuable? It explains that medical and health services managers oversee operations in clinics and hospitals, require a bachelor’s degree, and sit at the intersection of clinical and operational needs. They benefit from expanding healthcare demand and regulatory complexity.

Q: Question 6

What does the video say about information security analysts and why this field grows? It points to AI increasing attack surfaces and risk complexity, creating steady openings with relatively accessible entry points compared to other high paying roles. The field blends technical skills with risk management and policy awareness.

Q: Question 7

How is construction management connected to AI-driven growth in the video? The speaker notes AI-generated projects like data centers and chip fabs require skilled construction managers to coordinate budgets, schedules, and subcontractors, illustrating that AI expansion also means real world labor demand.

Q: Question 8

What practical exercise does the video offer for viewers to apply AI to their own work, and what is the expected outcome? The suggested exercise is to split the last two weeks of work into define, execute, and evaluate, pick a repetitive task, test it with AI, and then decide how to grow the remaining time into higher impact responsibilities. This helps identify where AI adds value and where to expand human effort.

Summary & Key Takeaways

• The video analyzes the Bureau of Labor Statistics projections through 2035 and explains AI exposure as a measure of how much work could be aided by AI. It ranks ten growing careers by median salary and discusses why several high exposure roles still grow due to human end tasks.

• It highlights five rapidly shrinking occupations and explains that AI can augment many tasks rather than replace entire jobs, emphasizing the need for strategic skills development.

• A practical takeaway is the exercise: split two weeks of work into define, execute, and evaluate, test one repetitive task with AI, and decide which responsibilities to expand over time.