That 13% decline is huge, especially for younger workers just entering the workforce. AI adoption is clearly reshaping entry-level jobs faster than people expected, and it raises questions about retraining and future career paths for this group.
PT14_8 on
One of the problems I’ve identified is that 15 years ago, we had entry level jobs that were specific to a defined vertical. So for marketing, we were hiring for someone that was a junior analyst who only looked at demand generation marketing for a specific vertical or product line. Each line would have the same role. They were almost always young girls with degrees in English or Sociology and were analysts in our marketing function that would go up the chain in that vertical.
Today, we have tools that can do all of the analysis faster. The people we need for the role are people with some technical facility and using APIs they can programmatically pull data into systems. Where we needed 20 people before, now we need 5. And the people we’re looking for are people with technical skills.
More broadly, we’re looking less at people with arts and humanities degrees and more for people with business, economics and data/computer science. B-schools are graduating students with technical skills. They’re coming out with certs in everything from Nielsen and Tableau to data science and AI. With these micro-internships, work-integrated learning and a host of other skills, they’re a sure bet. So we’re going in that direction.
Universities are going to need to evolve. Quickly.
Illustrious-Film4018 on
Pulling out the bottom rung of the ladder is only a good idea if AI is going to take over absolutely everything in the near future. And right now, it seems pretty doubtful.
3 Comments
That 13% decline is huge, especially for younger workers just entering the workforce. AI adoption is clearly reshaping entry-level jobs faster than people expected, and it raises questions about retraining and future career paths for this group.
One of the problems I’ve identified is that 15 years ago, we had entry level jobs that were specific to a defined vertical. So for marketing, we were hiring for someone that was a junior analyst who only looked at demand generation marketing for a specific vertical or product line. Each line would have the same role. They were almost always young girls with degrees in English or Sociology and were analysts in our marketing function that would go up the chain in that vertical.
Today, we have tools that can do all of the analysis faster. The people we need for the role are people with some technical facility and using APIs they can programmatically pull data into systems. Where we needed 20 people before, now we need 5. And the people we’re looking for are people with technical skills.
More broadly, we’re looking less at people with arts and humanities degrees and more for people with business, economics and data/computer science. B-schools are graduating students with technical skills. They’re coming out with certs in everything from Nielsen and Tableau to data science and AI. With these micro-internships, work-integrated learning and a host of other skills, they’re a sure bet. So we’re going in that direction.
Universities are going to need to evolve. Quickly.
Pulling out the bottom rung of the ladder is only a good idea if AI is going to take over absolutely everything in the near future. And right now, it seems pretty doubtful.