Your job is evolving—even if you're not. That's the reality Aneesh Raman, LinkedIn's chief economic opportunity officer, wants workers to understand as artificial intelligence reshapes the modern workplace.
While many fear being left behind by not adopting AI, Raman argues the greater risk lies on the opposite end of the spectrum: over-relying on it.
The Autopilot Trap
Picture this: Your manager asks a question. You paste it into an AI tool. You copy the response. You send it back. Simple, efficient—and potentially career-limiting.
"You're going to run into your boss in a week, and they're going to say, 'Hey, that was a great idea,' and you won't even remember because you're not clued into what you're doing," Raman told MarketWatch.
The deeper issue? When you outsource your thinking to AI, you erode the very skills that make you irreplaceable: critical judgment, creative problem-solving, and human insight. "If you're overusing AI, that means you're not doing anything unique as a human in that process," Raman warns. "Which means you're going to be even more afraid of AI taking your job."
A Three-Bucket Framework for Smarter AI Use
Raman, co-author of Open to Work with LinkedIn CEO Ryan Roslansky, recommends a balanced approach. Divide your tasks into three categories:
- AI-Only Tasks: Routine work like summarizing documents or conducting baseline research. Let AI handle these efficiently.
- AI-Assisted Tasks: Areas where AI augments your capabilities—closing knowledge gaps, exploring new product ideas, or drafting initial concepts. Here, you remain the driver; AI is your co-pilot.
- Human-Only Tasks: Activities that demand original thought, ethical judgment, or collaborative creativity—challenging assumptions, brainstorming with teammates, or navigating nuanced stakeholder conversations. These stay firmly in your domain.
Soft Skills Become Your Competitive Edge
As AI absorbs more technical execution, the value of distinctly human capabilities rises. Coders may worry about AI programming assistants, but software engineers who can communicate with customers, evaluate ethical implications, and prototype with a design mindset remain essential.
The challenge? Soft skills like empathy, adaptability, and emotional intelligence aren't learned from a textbook the way Python or accounting principles are.
Workplace performance expert Henna Pryor offers guidance: Start by ensuring your personal brand—your résumé, cover letter, interview presence—reflects authentic character, not AI-polished platitudes.
"We are in a full-blown crisis of believability," Pryor says. "Interviewers have seen so much AI-generated everything that they are default skeptics."
Your stories must demonstrate not just what you achieved, but how you achieved it. Claiming "I really care about my team" rings hollow if your example centers solo credit. Saying "I'm a great listener" while interrupting the interviewer undermines your message.
Hiring managers now scrutinize consistency: Are you kind to the receptionist? Does your follow-up email reflect the persona you presented? In an AI-saturated hiring landscape, authenticity is your differentiator.
Show, Don't Just Tell, Your AI Fluency
Demonstrating technical proficiency in tools like Python or data management is no longer enough when AI can execute those tasks. Forward-thinking employers—LinkedIn included—are shifting evaluation methods. For some entry-level roles, the company no longer requests résumés; instead, candidates showcase recent projects.
But for roles still using traditional hiring processes, how do you signal you're an effective AI collaborator without seeming like you've delegated your thinking?
Thomas A. Kochan, professor at MIT Sloan School of Management, advises against labeling yourself an AI "expert"—it can imply over-delegation. Instead, emphasize discernment:
"The most important thing for candidates is to emphasize they have worked with AI tools and they have done it in a responsible and careful fashion."
Since AI tools can hallucinate or generate inaccurate information, demonstrate that you verify outputs and avoid over-reliance on any single platform. "Get familiar with the range of tools," Kochan adds. "Some are better for presenting, some for research—but all have to be used with caution."
Reframe Change as Opportunity
AI is transforming nearly every facet of work. That can feel unsettling. But Raman invites a different perspective:
"Your job is changing on you, even if you aren't changing jobs. In some ways that's scary, but it could also be liberating."
Employees who proactively reshape how they work—using AI to amplify, not replace, their human strengths—position themselves not just to survive the shift, but to lead it.
The goal isn't to compete with AI. It's to collaborate with it—while doubling down on what no algorithm can replicate: your judgment, your creativity, and your humanity.