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IMPACT OF AI
ON EMPLOYMENT
RESEARCH PAPER PRESENTATION – ANVESH 2020
TEAM – MURPH
OVERVIEW
01
Introduction
03
Methodology
02
Research
Objectives
04
Findings &
Conclusion
INTRODUCTION
01
Artificial intelligence (AI) is the simulation
of human intelligence in machines that are
designed and code to think like humans and
behave in a similar manner. The term
Artificial Intelligence can also be used for
any machine that exhibits characteristics
associated with a human mind such as
learning, thinking and problem-solving.
- Frankenfield, J. (2020, March 13)
WHAT IS AI?
Robots
Virtual Assistants
ChatBots
POPULAR
APPLICATIONS
— JAMES MANYIKA
“It’s natural to wonder if there will be a
jobless future or not. What we’ve
concluded, based on much research, is that
there will be jobs lost, but also gained,
and changed. The number of jobs gained and
changed is going to be a much larger
number, so if you ask me if I worry about a
jobless future, I actually don’t. That’s
the least of my worries.”
RESEARCH OBJECTIVES
02
Sectors with Major AI Deployments
AI and Productivity
Limitations of AI
AI and Jobs – Created and Lost
Predictions for Future
RESEARCH AVENUES
METHODOLOGY
03
METHODOLOGY
Qualitative Research
Data Interpretation
Literature Review
Articles, Essays and Research Papers
Panel Discussions
Economic Times, TOI and IBM
Ethnography
Discord GCC, IBM DSP, CML’20, SkillShop
Observation
Popular VAs and ChatBots
TYPE
FINDINGS AND
CONCLUSIONS
04
SECTORS WITH MAJOR AI DEPLOYMENTS
Diagnosis Algorithms and
Remote Check-Ups
Sales and
Marketing
Virtual Assistants and
Lead Optimization
ChatBots and
Interactive Guides
Customer
Service
Health
Care
AI AND PRODUCTIVITY
Sales Service
24-hour Service – 64%
Instant Responses – 55%
Work-Focus
36% - Optimize operations
72% - Innovation Focus
Big Data
Better Data Quality – 59%
Faster Analytics – 67%
Over 50% increase in leads
40-60% cost reductions
LIMITATIONS OF AI
37% managers don’t
understand use of AI
PERCEPTION
76% CEOs worried
about detecting bias
BIAS
47% managers unable
to integrate AI
COGNITION
HIGH COSTPROTRACTED
Often requires transformation of entire Organizational Hierarchy
as well as several processes which takes time, effort and money.
COMPLEX
AI AND JOBS
CREATED AND LOST
Million jobs likely to be displaced by 2030
- McKinsey Global Institute
400-800
- THE WALL STREET JOURNAL
“Simply put, jobs that robots can replace
are not good jobs in the first place. As
humans, we climb up the rungs of drudgery —
physically tasking or mind-numbing jobs —
to jobs that use what got us to the top of
the food chain, our brains.”
10%
Job Creation Rate
Jobs are not transferrable
Need for extensive training
Transition
New jobs will have higher
skill requirements than the
jobs that will be lost
Higher Skill
77%
CEOs worried about
Vulnerability and Disruption
Probability of erroneous
outputs by AI Projects
85%
Technologists are
unprepared for AI Inclusion
93%
$190B
Industry by 2025
Commercial Apps will
integrate AI
75%
businesses have AI as their
strategic priority
83%
CONCLUSION
AI in 2020 and
preparing for the future
Inescapable
A change is bound to happen
Training Skills
Incorporate appropriate skill training
Developing Phase
AI cannot completely replace humans
Selective Use
Decide on the sectors to use AI in
2020
THANK YOU!
Questions?
IMPACT OF AI ON EMPLOYMENT
Anvesh 2020 – Research Paper Presentation
TEAM – MURPH
Mrudul Manojkumar
Rahil Shah
Samit Nakrani
Ushama Chhipa

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Research Paper Abstract - Impact of AI on Employment

  • 1. IMPACT OF AI ON EMPLOYMENT RESEARCH PAPER PRESENTATION – ANVESH 2020 TEAM – MURPH
  • 4. Artificial intelligence (AI) is the simulation of human intelligence in machines that are designed and code to think like humans and behave in a similar manner. The term Artificial Intelligence can also be used for any machine that exhibits characteristics associated with a human mind such as learning, thinking and problem-solving. - Frankenfield, J. (2020, March 13) WHAT IS AI?
  • 6. — JAMES MANYIKA “It’s natural to wonder if there will be a jobless future or not. What we’ve concluded, based on much research, is that there will be jobs lost, but also gained, and changed. The number of jobs gained and changed is going to be a much larger number, so if you ask me if I worry about a jobless future, I actually don’t. That’s the least of my worries.”
  • 8. Sectors with Major AI Deployments AI and Productivity Limitations of AI AI and Jobs – Created and Lost Predictions for Future RESEARCH AVENUES
  • 10. METHODOLOGY Qualitative Research Data Interpretation Literature Review Articles, Essays and Research Papers Panel Discussions Economic Times, TOI and IBM Ethnography Discord GCC, IBM DSP, CML’20, SkillShop Observation Popular VAs and ChatBots TYPE
  • 12. SECTORS WITH MAJOR AI DEPLOYMENTS Diagnosis Algorithms and Remote Check-Ups Sales and Marketing Virtual Assistants and Lead Optimization ChatBots and Interactive Guides Customer Service Health Care
  • 13. AI AND PRODUCTIVITY Sales Service 24-hour Service – 64% Instant Responses – 55% Work-Focus 36% - Optimize operations 72% - Innovation Focus Big Data Better Data Quality – 59% Faster Analytics – 67% Over 50% increase in leads 40-60% cost reductions
  • 14. LIMITATIONS OF AI 37% managers don’t understand use of AI PERCEPTION 76% CEOs worried about detecting bias BIAS 47% managers unable to integrate AI COGNITION HIGH COSTPROTRACTED Often requires transformation of entire Organizational Hierarchy as well as several processes which takes time, effort and money. COMPLEX
  • 16. Million jobs likely to be displaced by 2030 - McKinsey Global Institute 400-800
  • 17. - THE WALL STREET JOURNAL “Simply put, jobs that robots can replace are not good jobs in the first place. As humans, we climb up the rungs of drudgery — physically tasking or mind-numbing jobs — to jobs that use what got us to the top of the food chain, our brains.”
  • 18. 10% Job Creation Rate Jobs are not transferrable Need for extensive training Transition New jobs will have higher skill requirements than the jobs that will be lost Higher Skill
  • 19. 77% CEOs worried about Vulnerability and Disruption Probability of erroneous outputs by AI Projects 85% Technologists are unprepared for AI Inclusion 93%
  • 20. $190B Industry by 2025 Commercial Apps will integrate AI 75% businesses have AI as their strategic priority 83%
  • 21. CONCLUSION AI in 2020 and preparing for the future Inescapable A change is bound to happen Training Skills Incorporate appropriate skill training Developing Phase AI cannot completely replace humans Selective Use Decide on the sectors to use AI in 2020
  • 22. THANK YOU! Questions? IMPACT OF AI ON EMPLOYMENT Anvesh 2020 – Research Paper Presentation TEAM – MURPH Mrudul Manojkumar Rahil Shah Samit Nakrani Ushama Chhipa