Artificial Intelligence is increasing in demand by the minute. But various experts say that it will create more jobs than they replace and we couldn’t agree more!

1. HOW AI
WILL CREATE JOBS

2. AI will create
more jobs
than they
replace
75 million
Jobs Displaced
133 million
Jobs Created
58 million
Net new jobs created by 2022

3. There would be significant
shifts in the quality,
location and format of new
rolesFull-time, permanent employment may potentially fall
Companies could choose to use temporary workers,
freelancers and specialist contractors, while others may
automate many of the tasks
Machines are expected to perform a higher percent of
current tasks in the workforce
Source: Future of Jobs Report 2018, World Economic Forum
Human Machine
2018
2022
2025
71
58
48
29
42
52

4. Employees need to upskill
themselves to catch up with
the demand for digital
skills
Percentage of employees of large companies that would
need to up-skill in order to fully harness these growth
opportunities
54%
Fall in jobs requiring low digital skills
Rise in jobs requiring high digital skills
40%
30%
50%
40%

5. Business leaders
expect several
benefits due to AI
Business leaders who expect AI
to enhance decision-making90%
Business leaders who expect AI to
facilitate team “composition”,
“organization”, and “communication”
Business leaders who believe AI will
enhance employee engagement by
helping managers better assess skills
and suggest activities that can spark
creative thinking
80%
93%

6. THREE STRATEGIES THAT COMPANIES
PLAN TO USE TO COPE WITH THESE
CHALLENGES
Hiring completely new permanent staff
with skills around new technologies
Completely automating certain work tasks Retraining existing employees
A smaller number of companies are expecting to allocate the work to
freelancers and temporary workers.

7. RETRAINING EMPLOYEES IS A KEY
PART OF THEIR STRATEGY
Percentage of employees of large
companies who would need to up-skill in
order to fully harness the AI growth
opportunities
Companies that are planning to train at-risk
workers
Companies that plan to train only
employees in key roles
54% 50%33%

8. The waves of
automation that might
unfold over
the next 20 years and
it’s impact
• Wave 1 (to early 2020s): algorithmic
• Wave 2 (to late 2020s): augmentation
• Wave 3 (to mid-2030s): autonomy
Automation risks low for all education levels in short term, but less well educated
workers much more vulnerable in the long run
% of existing jobs at potential risk of automation
Wave 1
(to early-2020s
Wave 2
(to late-2020s
Wave 3
(to mid-2030s
Low education Medium education High education
Source:PwC estimates based on OECD PIAAC data (median values for 29 countries
0 10% 20% 30% 40% 50%

9. • In the short term, the largest impacts could be on
sectors like financial services where algorithms can
lead to faster and more efficient analysis and
assessments.
• In the longer term, however, the development of
autonomous driverless vehicles could mean that the
largest impacts are seen in the transport sector.
• In contrast, while no sector will be unaffected by these
technologies, areas like health may be relatively less
affected due to a greater reliance on social skills and
the human touch. AI and robots will have an important
role in health care in future, but more working
alongside human doctors and nurses than replacing
them.
Automation will vary
significantly by industry
sector % of existing jobs at potential risk of automation
Source:PwC estimates based on OECD PIAAC data (median values for 29 countries
Wave 1
(to early-2020s
Wave 2
(to late-2020s
Wave 3
(to mid-2030s
0
10%
20%
30%
40%
50%
Health
All Sectors
Financial
Services
Transport

10. FASTEST GROWING JOB
OPPORTUNITIES
FASTEST GROWING JOB OPPORTUNITIES
ACROSS ALL INDUSTRIES
• Data analysts
• Software developers
• Social media specialists
REQUIRING HUMAN SKILLS
• Sales and Marketing
• Innovation
• Customer Service

11. • The earliest roles to be handed to the machines
will involve low-skill tasks that are repetitive
and predictable. Manufacturing, basic labor and
construction work are all probable areas for
near-term automation.
• However, other jobs, some of which involve
higher level skills, are also being targeted for
automation including driverless cars and virtual
assistant technology which could soon lead to
the replacement of many clerical workers.
• Beyond that, any role that involves moving,
sorting and analyzing data could soon be filled
by an algorithm.
Jobs at risk of
being
automated
• Cleaners
• Laborers
• Construction and
manufacturing workers
LOW-SKILL WORK
• Transportation
• Warehousing
• Clerical work
AREAS OF FOCUS FOR AI
DEVELOPMENT
• Morgage originators
• Paralegais
• Accountants
DATA-INTENSIVE ROLES

12. Sources
• https://www.cnbc.com/2018/09/17/wef-machines-are-going-to-perform-more-tasks-than-humans-by-2025.html
• https://venturebeat.com/2018/09/07/ai-weekly-contrary-to-current-fears-ai-will-create-jobs-and-grow-gdp/
• https://www.forbes.com/sites/amitchowdhry/2018/09/18/artificial-intelligence-to-create-58-million-new-jobs-by-2022-says-report/#28012e2d4d4b
• https://eandt.theiet.org/content/articles/2018/09/rise-of-ai-and-robots-predicted-to-create-more-jobs-than-they-replace-report-proclaims/
• https://searchenterpriseai.techtarget.com/feature/AI-and-jobs-collide-as-automation-looms
• https://channels.theinnovationenterprise.com/articles/ai-and-robotics-predicted-to-create-58-million-more-jobs-they-will-destroy
• https://www.pwc.co.uk/services/economics-policy/insights/the-impact-of-automation-on-jobs.html