""The skills we need in the AI age are fundamentally different from before,""
""There's a greater emphasis on data literacy," Mahajan said. "And it's not just about being an advanced data professional.""
""the emphasis and premium on creativity, thinking outside the box, and being able to be innovative have become really important.""
""You don't find yourself hard-pressed for technology, because you have models and technology agents available to you,""
AI is accelerating job change faster than workers can retrain, driving a shift in required skills. Core technical ownership is becoming less important as models and technology agents become widely available. Essential capabilities now include data literacy, fluency with agents and robotics, and effective human-machine collaboration. Employers are prioritizing creativity, inventive problem-solving, and cross-disciplinary perspectives over traditional coding or STEM credentials. Hiring increasingly values younger or nontraditional backgrounds that bring creative approaches. The competitive advantage arises from people who can apply prompt engineering, provide human intervention, and use technology creatively to generate value.
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