Job Data?
You walk in the door after 45 minutes of bumper-to-bumper traffic and a day of an endless stream of meetings that accomplished virtually nothing, and the wife is at the door, usually not a good sign…
“We have a problem.”
“What now? Did someone get arrested?”
“No, but it looks like Josh won’t be going to Harvard”
You are actually relieved in a way, considering the tuition, but you have to bite.
“What did he do?”
“He didn’t do anything, that seems to be the problem. We just got a call from his guidance counselor with the results of the Strong test that they gave the whole 9th grade class.”
“What’s a Strong Test?”
“It’s a ‘career inventory’, sort of interests that they use to assess potential career paths for students.”
“It doesn’t sound like something he could fail, so what is the problem?”
“ You can’t fail but based on what he said on the test he was about as far away from a high paying job as you can get, at least according to his guidance counselor. Based on his love of the outdoors, his love of motorized equipment, and his appreciation of nature, the test suggested a career as an ‘industrial truck and trailer operator’!”
“You mean a big rig driver?”
“I think so. We didn’t get into details, but he said Josh seemed very happy with the results.”
“So where is the problem?”
“Our son is going to be a truck driver”
“It could be worse…”
OK so Harvard was out of the question, but a semi driver? You had a bit more hope for your progeny, but at least it’s an honest living. In the new reality it might prove to be a far more valuable profession than you might realize, even though it might not seem so now, and that is because of AI. A recent Microsoft (MSFT) study took over 200,000 conversations between users and Microsoft Bing Co-Pilot (anonymized & privacy scrubbed) and derived the most common work activities that people seek AI assistance for, and the most common activities that AI itself is performing. By combining this data they were able to complete a new set of data that gave an AI applicability score for each.
What this translates to is a list of jobs most and least likely to be replaced by AI over the next few years and includes addition study information from previous works. The descriptions are simplified here, but they are in order, starting with jobs most likely to be replaced by AI (Highest AI Applicability Score) to those with the lowest chance of being replaced, and blue-collar jobs seem to be the safe bet. We highlighted a few. Here are the lists:
“We have a problem.”
“What now? Did someone get arrested?”
“No, but it looks like Josh won’t be going to Harvard”
You are actually relieved in a way, considering the tuition, but you have to bite.
“What did he do?”
“He didn’t do anything, that seems to be the problem. We just got a call from his guidance counselor with the results of the Strong test that they gave the whole 9th grade class.”
“What’s a Strong Test?”
“It’s a ‘career inventory’, sort of interests that they use to assess potential career paths for students.”
“It doesn’t sound like something he could fail, so what is the problem?”
“ You can’t fail but based on what he said on the test he was about as far away from a high paying job as you can get, at least according to his guidance counselor. Based on his love of the outdoors, his love of motorized equipment, and his appreciation of nature, the test suggested a career as an ‘industrial truck and trailer operator’!”
“You mean a big rig driver?”
“I think so. We didn’t get into details, but he said Josh seemed very happy with the results.”
“So where is the problem?”
“Our son is going to be a truck driver”
“It could be worse…”
OK so Harvard was out of the question, but a semi driver? You had a bit more hope for your progeny, but at least it’s an honest living. In the new reality it might prove to be a far more valuable profession than you might realize, even though it might not seem so now, and that is because of AI. A recent Microsoft (MSFT) study took over 200,000 conversations between users and Microsoft Bing Co-Pilot (anonymized & privacy scrubbed) and derived the most common work activities that people seek AI assistance for, and the most common activities that AI itself is performing. By combining this data they were able to complete a new set of data that gave an AI applicability score for each.
What this translates to is a list of jobs most and least likely to be replaced by AI over the next few years and includes addition study information from previous works. The descriptions are simplified here, but they are in order, starting with jobs most likely to be replaced by AI (Highest AI Applicability Score) to those with the lowest chance of being replaced, and blue-collar jobs seem to be the safe bet. We highlighted a few. Here are the lists:
Here is the bottom of the list, essentially those jobs with the least chance of being replaced by AI:
In a more general way, here’s the data sorted by groups (High is bad):
Tomlinson, Kiran, et al. Microsoft, Working with AI: Measuring the Occupational Implications of Generative AI.
RSS Feed