Which jobs will be replaced in the future? The faster artificial intelligence (AI) and robotics progress, the more brutal the response.

1. WWW.PEOPLEINTECH.US are you prepared
for this shift?
AI Will
Transform
500 Million
White-Collar
Jobs In 5
Years

2. "Which jobs will be replaced in the
future? The faster artificial
intelligence (AI) and robotics
progress, the more brutal the
response."
SOME TECH GUY

3. Medicine
The speciality in which image recognition has
the greatest potential is radiology. Comparing
thousands of chest X-rays, for example, an
algorithm developed by a US research team
correctly detected tuberculosis in 96% of cases.
Another recent study demonstrated that AI can
diagnose health conditions using CT scans with
91% accuracy.
A Google subsidiary has designed
an algorithm that can predict an individual’s
likelihood of developing heart disease using
retinal images.
CHALLENGESANDOPPORTUNITIES

4. Financial algorithms are now used
to manage portfolios, assess
investment risk and oversee
compliance with regulations.
A study by the auditing firm
Deloitte reported that 32% of
financial institutions currently use AI,
while another 40% are considering
it.
The CEO of UBS has stated that the
Swiss bank could cut staff by 30%
within the next 10 years thanks to
“technological advances”.
Finance

5. Recruitment
Trying to impress someone in a job interview will
soon be a thing of the past. More and more
companies are opting for algorithms like HireVue to
select the best candidates.
HireVue’s software uses AI to assess video interviews
of applicants. The programme then draws up a profile
based on more than 200,000 criteria, such as tone
and the words chosen in certain situations.
Only after this first selection process is complete do
human recruiters come in. More than 600 large firms
already use this service, including Goldman Sachs.

6. Law
A 2018 STUDY SHOWED THAT AI COULD
DETECT ERRORS IN SEVERAL CONTRACTS
SIMULTANEOUSLY IN JUST 26 SECONDS,
ACHIEVING 94% ACCURACY.
IT TOOK A GROUP OF 20 US LAWYERS
92 MINUTES TO PERFORM THE SAME TASK
– WITH AN ACCURACY RATE OF ONLY
85%.
WHEN THE JOB INVOLVES REVIEWING
LARGE AMOUNTS OF TEXT BASED ON
SPECIFIC CRITERIA, HUMANS CANNOT
COMPETE WITH ALGORITHMS THAT USE
MACHINE LEARNING.

7. What do
you think?
CALEB KING
Tech Guy
www.PeopleInTech.us