Case Switzerland: How does the average Waste Management annual salary compare with that of Switzerland as a whole country (see attached images)? Further Information: - Currently, it is estimated that 3% of roles could be entirely automated using the technology we have available to us now.  - By 2025 this will have risen to around 35%, by 2030 it will be at 50% and by 2080 scientists are predicting advanced AI technologies will have replaced 85% of current jobs. - A more astonishing figure is the 42% of roles which could be made more efficient, more productive, and more enjoyable through automating individual tasks within the wider role.  - Waste Management industry has a CHF 48 billion slaary bill in Switzerland with the highest potential for automation.  - Swiss people work for an average of 20.3 hours a week when holidays are taken into account.  - Switzerlands average weekly earning is CHF 1,615 and has an unemployment rate of 3.3% with 264,000 people. - 50% of current jobs will be lost in the next 7 to 8 years. Population increases year on year of 0.8%.   Multiple Choice: *only one answer is correct A) Waste Management between CHF 11,000 and CHF 13,000 less than average B) Waste Management between CHF 9,000 and CHF 11,000 less than average  C) Waste Management between CHF 7,000 and CHF 9,000 less than average D) Waste Management between CHF 5,000 and CHF 7,000 less than average E) Waste Management between CHF 3,000 and CHF 5,000 less than average

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Case Switzerland:

How does the average Waste Management annual salary compare with that of Switzerland as a whole country (see attached images)?

Further Information:

- Currently, it is estimated that 3% of roles could be entirely automated using the technology we have available to us now. 

- By 2025 this will have risen to around 35%, by 2030 it will be at 50% and by 2080 scientists are predicting advanced AI technologies will have replaced 85% of current jobs.

- A more astonishing figure is the 42% of roles which could be made more efficient, more productive, and more enjoyable through automating individual tasks within the wider role. 

- Waste Management industry has a CHF 48 billion slaary bill in Switzerland with the highest potential for automation. 

- Swiss people work for an average of 20.3 hours a week when holidays are taken into account. 

- Switzerlands average weekly earning is CHF 1,615 and has an unemployment rate of 3.3% with 264,000 people.

- 50% of current jobs will be lost in the next 7 to 8 years. Population increases year on year of 0.8%.

 

Multiple Choice: *only one answer is correct

A) Waste Management between CHF 11,000 and CHF 13,000 less than average

B) Waste Management between CHF 9,000 and CHF 11,000 less than average 

C) Waste Management between CHF 7,000 and CHF 9,000 less than average

D) Waste Management between CHF 5,000 and CHF 7,000 less than average

E) Waste Management between CHF 3,000 and CHF 5,000 less than average

Likelihood of industries becoming automated in the future
Proportion of jobs and their risk of automation. Note: the graph shows a linear decrease in the proportion of jobs at risk of full automation.
60%
55%
50%
45%
40%
35%
30%
25%
20%
15%
10%
5%
0%
Waste Management Transportation and
Storage
Manufacturing
Retail
Administration
Finance and
Insurance
Employment Share of Total Jobs
Proportion of Jobs at Risk of Full Automation
Electricity and Gas
I
Other
Transcribed Image Text:Likelihood of industries becoming automated in the future Proportion of jobs and their risk of automation. Note: the graph shows a linear decrease in the proportion of jobs at risk of full automation. 60% 55% 50% 45% 40% 35% 30% 25% 20% 15% 10% 5% 0% Waste Management Transportation and Storage Manufacturing Retail Administration Finance and Insurance Employment Share of Total Jobs Proportion of Jobs at Risk of Full Automation Electricity and Gas I Other
Technical feasibility of job automation
Likelihood of automating job tasks
Predictable
Physical
Work
Data
Processing
Data
Collection
Unpredictable
Physical
Work
Stakeholder
Interactions
Applying
Expertise
with
Clients
Managing
Others
0%
5%
10%
15%
20%
25%
30%
% of Tasks which could be Automated
35%
40%
45%
50%
55%
60%
65%
% of Time Spent on Tasks in all Swiss Occupations
70%
75%
80%
Transcribed Image Text:Technical feasibility of job automation Likelihood of automating job tasks Predictable Physical Work Data Processing Data Collection Unpredictable Physical Work Stakeholder Interactions Applying Expertise with Clients Managing Others 0% 5% 10% 15% 20% 25% 30% % of Tasks which could be Automated 35% 40% 45% 50% 55% 60% 65% % of Time Spent on Tasks in all Swiss Occupations 70% 75% 80%
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