AI may be changing your job, but critical thinking is still important.
That's according to Bluesky CEO Jay Graber. She told Business Insider that developing critical skills is “very necessary” for the day and age.
“AI can automate many important seasonal tasks. If you outsource your reasoning entirely, it's not really enough to do it in an automated way.” I said Graber has founded a social network focused on an event previously known as Happdaping Inc.
If you're a student, that might mean writing your essay by hand, Guber said. The idea is to build “the muscles for critical thinking” and continue to grow it, the CEO said.
“You can't outsource your thoughts or essays entirely to AI,” she said.
Graber said that Bluesky uses AI in areas such as moderation and curation, but cannot operate autonomously. She said employees will check and correct the output and use critical thinking to determine what will actually be implemented.
“When you do it autonomously, you don't have the real context, intelligence, or much of what you need as a human to make the right decisions,” Glover said. “And it actually produces what appears to be correct even if it's not right.”
Develop a variety of skills
Graber advises to embrace the generalist thinking. By providing AI with “packaged expertise,” it lies in identifying the real value that matters.
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“You need to make a good judgment about how to use it, and you need to have the flexibility to take that knowledge and do something useful with it,” Glover said.
While learning these new skills is important, Graber believes job seekers need to have a solid understanding of the fundamentals of the industry.
“I think it's still very necessary to learn all of these skills whether it's writing or coding or using AI support,” Graber says.
Just because AI can write essays doesn't mean people shouldn't learn to write anymore, she said. The same applies to skills like coding, Graber said. While AI can help you insert structures, grasp bugs, and generate code, Graber said there is still a solid foundation needed.
“If you don't know what good code looks like, if you don't know how to actually build a system, you can't evaluate the output,” Graber says.
