LinkedIn: AI Turns Career Ladder into a Climbing Wall

The Impact of AI on Careers According to LinkedIn

Aneesh Raman, head of economic opportunities at LinkedIn, recently emphasized that artificial intelligence (AI) is transforming the way careers develop. He describes this transformation as a shift from a "career ladder" to a "climbing wall," where professional paths become non-linear. According to him, traditional careers, which followed a predictable progression path, are disappearing under the influence of AI.

Raman illustrated this idea by sharing his own journey, which saw him transition from war correspondent to speechwriter for Barack Obama, before joining LinkedIn. He recounted his shift from a correspondent in the Middle East for CNN to an unpaid intern during Barack Obama's presidential campaign in 2008, which he described as "one of the riskiest" moves he ever made.

Non-Linear and Adaptive Careers

In their book "Open to Work: How to Get Ahead in the Age of AI," Raman and LinkedIn CEO Ryan Roslansky delve deeper into the concept of the "climbing wall." This model suggests that careers no longer follow a vertical path but move in various directions, depending on individual skills and choices. "When you climb, sometimes you go sideways," Raman stated. "It's not just, 'Go to the next step in front of you and above you.'"

Raman highlighted that this approach allows workers to have better control over their career paths, relying on their unique skills and personal interests. He also mentioned that this transition can be stressful, but it offers individuals more freedom. "On the wall, you have much more control over your career," he added.

Rethinking the Use of AI at Work

Raman explained that to adapt to this new model, it is crucial to break down one's work into tasks and consider how to use AI to automate some of them. "What can I delegate to AI?" he asked. "What is the quick synthesis or first draft that [AI] can do?" This frees up time for more creative and collaborative activities.

He stressed that no one will come knocking on your door to tell you, "We figured out what your job is in the age of AI." "You will have to figure it out," he stated. LinkedIn data indicates that by 2030, 70% of the skills required in most jobs will have changed, primarily due to AI. Raman advises focusing on continuous adaptation rather than long-term career plans. "Don't worry about solving the problem over 10 years because that's not even possible," he said. "Just worry about building your tomorrow today."

A New Vision of Careers

Ryan Roslansky, during Microsoft's "Tools and Weapons" podcast, also stressed the importance of focusing on skill evolution rather than job titles. He encourages workers to explore what they can achieve by fully embracing AI. "What did I think I couldn't do that now, if I truly embrace AI, I can actually do more?" he questioned.

According to Roslansky, this approach redefines what it means to have a career, emphasizing learning and adaptability rather than linear progression. "It's a rethinking of what we have historically thought it meant to be in a career, or what a career was made of," he concluded.