The jobs will lose to machines- and the ones we won't

Watch the video and fill in the gaps. Use between one and three words in each one. Check your answers in "comments".

 A research at Oxford University concluded that one in every two jobs have a high risk of being ____________________________________ (1). 

 Machine learning is a powerful branch of artificial intelligence that allows machines to learn from ____________________________________(2) and mimic what humans can do. 

The speaker’s company, Kaggle, knows a lot about the jobs machines might automate or ____________________________________(3). 

Machine learning started in the early 90s with simple tasks such as assessing credit risks from ____________________________________ (4) but now it’s capable of far more difficult challenges. Last year scientists built algorithms able to match ____________________________________ (5) given by human ophthalmologists. 

Humans have no chance of ____________________________________ (6) on frequent, high-volume tasks. However, machines can’t handle novel situations without learning from ____________________________________(7) data- something humans can do. For instance, the physicist Percy Spencer did it when he invented ____________________________________(8). 

Therefore, the future of any single job will depend on to what extent that job is reducible to frequent, high-volume tasks or it involves tackling ____________________________________(9). 

Humans will be the ones creating marketing campaigns and developing ____________________________________(10).