Lots of insightful and sobering interactive resources on this topic of job automation (see here, here and here for additional NGPF resources on this topic). Here’s another from Bloomberg (hat tip to Hari of NGPF and Big Picture Blog):

Quick orientation: 

• This chart is static, click on the Bloomberg link to use its interactive features
• X axis is the probability that job will be automated in the future
• Y axis is the average annual salary for a given job
• Size of bubble is number of employees in a given job (larger = more employees)
• Color of the bubble corresponds to level of education (e.g. red is no formal education)
• Type in jobs that you are interested in within the box: Search by occupation

Questions:

• Find jobs that fit into each of these categories:
  • Low paid, likely to be automated
  • Low paid, not likely to be automated
  • High paid, likely to be automated
  • High paid, not likely to be automated
• Is there a relationship between level of education for a given job and the likelihood it will be automated?
  • Find a low education job that is not likely to be automated.
  • Find a high education job that is likely to be automated.
• Select three jobs that you are interested in and find following data points:
  • Avg. wage
  • Number employed
  • Computerization probability
  • Level of education
• Were you surprised about the results of your research? What surprised you?
• After analyzing this graph,
  • What do you think are the attributes of a given job that make them likely to be automated?
  • Will this make you reconsider what careers you would like to pursue?

About the Author

Tim Ranzetta

Tim's saving habits started at seven when a neighbor with a broken hip gave him a dog walking job. Her recovery, which took almost a year, resulted in Tim getting to know the bank tellers quite well (and accumulating a savings account balance of over $300!). His recent entrepreneurial adventures have included driving a shredding truck, analyzing executive compensation packages for Fortune 500 companies and helping families make better college financing decisions. After volunteering in 2010 to create and teach a personal finance program at Eastside College Prep in East Palo Alto, Tim saw firsthand the impact of an engaging and activity-based curriculum, which inspired him to start a new non-profit, Next Gen Personal Finance.

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