Artificial intelligence is a turning point that forces us to reconsider not only what is a job, but also what it means to be a man at work, according to Linkedin expert.
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Artificial intelligence It interferes with the global industry and labor, but it can also launch a brand new economy.
Although the idea of AI from the mid-1900s, the technology catapulted into a common discourse after the launch of OPENAI’s generative AI Chatbot, Chatgpt, in November 2022.
“But [generative AI] It’s not just another invention, “said Aneesh Raman, a chief economic situation in Linkedin.” It is a turning point, forcing us to reconsider not only what is a job, but what it means to be a man at work. “
‘The knowledge economy is on the way out ’
Similar to the industrial revolution, Ai He pushes us into a new era, Raman said.
“For centuries, work has been on our physical abilities on the farms and then again in factories,” Raman said. “Only a couple of decades have been about our intellectual abilities.”
The new economy is on the way … Innovation economy.
Aneesh Raman
Chief Economic Officer, LinkedIn
Now the increase of AI triggers a new discussion: If automation takes over more physical tasks and artificial intelligence takes over more intellectual, people will be defined by their social capabilities, Raman said.
“The knowledge economy is on the way out, and the new economy is on the way to us people at work,” he said. “I call it an economy of innovation.”
In this new era, “human innovation and our unique human skills, such as social and emotional intelligence,” will be key, he added.
Skills such as creativity, curiosity, courage, compassion and communication – or “5 C” – is what supports innovation, which allows us to come up with new ideas that challenge the status quo, cooperate and eventually build together, said .
AI unlocks innovation
AI also stands for the democratization of innovation the way we have never seen before, Raman said.
“Work systems have a traditionally privileged generator over the potential – very few people in history have real credentials and real connections to get access to the capital they need to convert ideas into inventions,” he said.
Economist’s research work Raj Chetty, along with other researchers, coined the term “Lost Einsteins” describe potential innovators who are limited by their socioeconomic status.
The work, which compared taxes and school records with more than one million patent owners, found that children with their parents in the first 1% income distribution were ten times more likely to become inventors than parents of parents with under the median revenue.
“Where [AI] It is set on the biggest impact on helping people sitting on great ideas and great inventions are finally reviving these ideas, “Raman said.
Not only can technology help automation of routine tasks, but it can also be “your sound plate, your co -founder, your code” and more, he said.
“Consider what happens when a Brazil entrepreneur can prototize a climate technology solution without the need for a full engineering team. Or when a teacher in rural India can build and implement an educational platform without the need to write the code,” he added.
‘Interfere with or be distracted’
In addition to innovation, AI also changes the labor market.
“Jobs are changing so quickly that the pedigree’s signals that we have long relied on, such as the place you went to school or what you have done in the past are no longer useful predictors of future success,” he added.
Instead, skills are more important than ever in this new era of work.
Technical abilities and knowledge have long been categorized as “grave skills”, while social and emotional abilities are marked with “soft skills”. As AI is able to repeat many intellectual aspects of work, our human skills become new “difficult skills,” Raman added.
Therefore, the winners of this new era of work will be those who tend to adapt – or put a different way to “interfere with or disrupt,” Raman said.
Nearly 90% of C-Suit managers say adoption AI is the main priority of 2025, according to Linkedin data collected from 1,991 executives in nine countries. In Asian-Pacific, that number jumps to 94%.
As such, it is important to learn how to use a tools, as well as to sharpen human skills that AI cannot replace, Raman said.
