The document discusses predictions for artificial intelligence (AI) and its impact on jobs by 2030. It notes that 63% of experts believe most individuals will be better off due to AI, but 47% of US jobs are at high risk of automation. Over 800 million non-revenue generating jobs could be lost to machines by 2030. Self-driving cars alone could eliminate 1.3 million deaths from human error. The solution discussed is training governments to work with cyborgs in a partnership of human and artificial intelligence to manage social manipulation, perception, transactions, iteration, prediction and adaptation.

1. 2030 ARTIFICAL INTELLIGENCE
P E E R O R R E P L A C E M E N T ?

2. The father of Artificial Intelligence Common-Sense Knowledge
JOHN McMARTHY
THE OBJECTIVE:
SAVE MONEY SAVE TIME SAVE LIVES

3. 63%Experts are hopeful most
individuals will be better off in 2030
Pew Research Center Study

4. 47%Total US Employment in High Risk
Automation Category
Oxfordmartin Study

5. 72%Workers believe AI replacement
rather than peer.

6. SOCIAL INFLUENCERS
More than 800 million non-revenue
generating jobs gone by 2030.
Self-driving cars will eliminate
1.3 million deaths due to human error.
24/7 machine learning conducting
market research for B2C.

7. THE SOLUTION?
TRAINING GOVERNMENT CYBORG

8. VISION
LEAD
CREATE
SOCIAL
MANIPULATION
PERCEPTION
TRANSACT
ITERATE
PREDICT
ADAPT
TRANSACT
ITERATE
PREDICT
ADAPT
HUMAN INTELLIGENCE
ARTIFICIAL INTELLIGENCE

9. HUMAN
WORKER
MACHINE
LEARNING

10. willrobotstakemyjob.com

11. CREATIVE THOUGHT. THANK YOU.
Email: pptbestofshow@gmail.com

12. https://www.oxfordmartin.ox.ac.uk/downloads/academic/futur
e-of-employment.pdf
REFERENCES
https://willrobotstakemyjob.com/
https://www.pewresearch.org/search/automation
https://youtu.be/Z6UZ4uN-cwg
https://youtu.be/r211u89eUaY
Various images-noncommercial use