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Phil_Britt
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Phil_Britt,
User Rank: Light Sabre
9/25/2017 | 8:26:01 PM
Re: Study methodology
Everyone should not necessarily have anxiety but should at least be aware that AI and robotics are becoming more prevalent everywhere -- there is even AI that reads earnings reports and then "writes" articles for distribution about the results.
kq4ym
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kq4ym,
User Rank: Light Sabre
9/25/2017 | 7:52:32 AM
Re: Study methodology
It might be interestingto study the anxiety levels of the employees who fear being layed off or changes in the workplace due to automation. The possible physical or mental results might have a larger than thought bearing on corporate and societal well being
Michelle
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Michelle,
User Rank: Light Sabre
9/20/2017 | 2:49:18 PM
Re: Study methodology
I think you're right about that. Manufacturing is undergoing a major shift. I think we'll see very surprising results in the future.
danielcawrey
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danielcawrey,
User Rank: Light Sabre
9/20/2017 | 12:42:41 PM
Re: Study methodology
There is going to be wrenching change as we move towards a more advanced economy. The old paradigm of manufacturing is likely over. What's taken its place is advanced robotics-based manufacturing. This is the reality today. 
Joe Stanganelli
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Joe Stanganelli,
User Rank: Light Sabre
9/20/2017 | 10:04:58 AM
Study methodology
> "A vast majority -- 97% -- believe that automation will have some benefit to the company."

An important point, of course, is that this is not the same thing as believing that automation will have a net benefit (or, for that matter, will not have a net harm) to the respondent.


Separately, I seriously question the methodology/relevance of the study. 1,000 people is a nice number for a study...but "information worker" is WAY too broadly defined.

Per the study: "Information workers were defined as individuals over 18 years old who spend at least half their day at the computer and use at least one category of business software in their jobs on a regular basis."


That's a VERY broad definition. It puts IT people, programmers, engineers, "cube farmers", receptionists/admins, cashiers, non-field journalists, and licensed professionals like CPAs and (non-courthouse) lawyers in the same category.

Moreover, the study gives no indication as to career level. People higher up the management food chain are far more likely to be pro-automation than the front-liners who would be the first to be replaced.
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