AI probably won’t replace you just yet, Wharton professor says

For many Americans, AI is changing our way of working rapidly.
Increased number of workers now use artificial intelligence in their work. According to A LAST GALLUP SURVEY40% of us workers use AI at least several times a year, and 19% of the workers use several times a week. Since last year, both statistics have increased from 21% and 11% to almost double, respectively.
At the same time, more than half of American workers are worried about AI’s impact on labor force, Pew Research Center Survey. Fears have value: A World Economic Forum report 48% of US employers published in January found that they planned to reduce their labor due to artificial intelligence.
Naturally, AI’s rapid growth in the workplace asked many questions. How will AI reshape our business? Which new skills will we need to develop? Which industries will be most affected by AI?
There are no easy answers to these questions, he says Ethan Mollick and his writer who is an associate professor in Wharton “Common Intelligence: Living with AI and working.”
Mollick is also the co -director of Wharton Productive AI LaboratoriesAI is about the replacement of concerns about human affairs.
“The idea that you can reduce as artificial intelligence for people seems naive to me, or he says. Nevertheless, while AI continues to develop, he says “effects may be for workers.”
Here is what Mollick said about artificial intelligence and the future of the work.
Make CNBC: There is a lot of concern about the replacement of human affairs about AI; Bill Gates. What are you getting about it?
AI agents are not there yet. Currently, AI is good in some things, it is bad in some things, but in general it does not replace human business.
He does things very well, but the purpose of laboratories [to create] In the next 3 years, completely autonomous agents and machines are smarter than human. Do we know they can achieve this? We don’t do it, but that’s their bet. That’s what they aim. They expect and target mass unemployment. This is what they tell us to prepare for us.
As for them to believe in them, we don’t know, right? At least you have to take it as a possibility, but we’re not there yet. Many are also the choice of organizational leaders who decide how these systems are actually used, and organizational change is slower than all laboratories and technology people think.
Most of the time, technology creates new jobs. This is also possible. We just don’t know the answer.
What skills will we need to develop in the labor force as AI usage becomes more common?
If you ask about artificial intelligence skills a year ago, I would say ask about skills. It doesn’t matter anymore. We do a lot of research and it turns out that the requests are not as important as before.
So, you know, what’s that leaving us? Judiciary, taste, deep experience and knowledge. However, despite AI, you should build them somehow rather than AI.
It also helps to have curiosity and agency, but these are not really skills. I don’t think using AI will be a hard thing for most people.
Then what is “hard thing”?
I think he develops enough expertise to control these systems.
The expertise is won by the apprenticeship, that is, to do some Ai levels [tasks that current AI models can do easily] Over again, you learn how to do something right. Why would he do this once again? And this becomes a real difficulty. We need to find out how to solve this with an education and training mixture.
How do you think AI’s entry -level will affect the labor market?
I think people jump to the result [AI is] Why do we see young unemployment? I don’t think it’s a problem yet, but I think it’s a great concern.
Companies will have to see the entry -level jobs as a chance to get people who will be senior employees, but also as a chance to educate them in this way, which is very different from how they have seen the job before.
Are your students concerned about AI’s influence on jobs?
I think everyone is worried about that, right? Consultancy and banking, analyst roles and marketing roles – all of them are tasks touched by AI. The more educated you are, the higher if you are paid, the more your job overlap with AI.
I think everyone is very worried and I don’t have easy answers for them. The advice that I tend to give people to people is to choose as many ‘packaged’ tasks as possible.
Think of doctors. Someone has a job that should be good in empathy and [surgical] dexterity and diagnosis and executing an office and keeping up with the last part of the research. AI helps you in some of these things, this is not a disaster.
If artificial intelligence can do one or two of these things better than you, it does not destroy your job, changes what you do, and hopefully allows you to focus on what you love most.
Therefore, packaged jobs are more likely to be flexible from single thread works.
How can artificial intelligence be played at the workplace?
For me, the problem is not to really build these tools as productivity tools. They are built as chat boots, so they work really well at the individual level, but this does not turn into something that can be stamped very easily throughout the team.
People still understand how to operate as teams with these things. Do you bring it to every meeting and ask the AI questions in the middle of each meeting? Does everyone have their own AI campaigns?
The piece I continue to do a lot is unfair to ask the employees to understand it. I see that leadership and organizations say it is urgent to use AI, people will be fired without it, and then they have no joints about what the future looks like.
I want to attract that point home, so where do we go without expressing a vision? And this is the missing piece. Understanding this is not just everyone.
Trainers and university professors need to take an active role in shaping how AI is used. The leaders of the organizations need to take an active role in shaping how AI is used. Not just, ‘Everyone will dissolve and will be magic.’
This interview was concentrated and organized in terms of clarity.
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