TED: The jobs we'll lose to machines -- and the ones we won't | Anthony Goldbloom

The video discusses the future of work in the context of automation and machine learning. It highlights how jobs are changing due to technological advancements, particularly in machine learning, which is capable of performing high-volume tasks. However, it emphasizes the limitations of machines in handling novel situations and the importance of human creativity. The video suggests that future job security lies in roles that involve tackling new challenges and leveraging human ingenuity.

What did the Oxford University study conclude about the future of jobs?

• Only manual labor jobs will be automated.

• No jobs will be affected by automation.

• Almost half of the jobs are at high risk of automation.

• All jobs will be automated by machines.

Which task was NOT mentioned as one that machine learning has successfully tackled?

• Diagnosing diabetic retinopathy

• Reading handwritten ZIP codes

• Grading high school essays

• Conducting complex tax structuring

What is a fundamental limitation of machine learning according to the transcript?

• It requires human intervention for every task.

• It struggles with tasks it hasn't encountered before.

• It cannot process large volumes of data.

• It is too expensive to implement.

Why are humans still needed in fields like marketing and business strategy?

• Machines are not allowed to work in these fields.

• Machines cannot create engaging content or find market gaps.

• Humans are cheaper than machines.

• Machines can only handle repetitive tasks.

What advice is given to stay ahead of machines in the workplace?

• Embrace daily challenges and novel situations.

• Avoid learning new skills.

• Rely solely on machine assistance.

• Focus on repetitive tasks.