Traditional career advancement models may become obsolete as AI transforms the workplace. If AI is handling more execution, what does meaningful work look like now?
I question whether productivity-focused work metrics remain valid when automation handles routine tasks. Future value lies in skills like problem-solving and strategic thinking rather than output volume.
My transition from entrepreneurship to corporate employment prompts reflection on what progress means organizationally. Career growth may shift from hierarchical ladder-climbing to an ecosystem-based model emphasizing adaptability and cross-disciplinary integration.
Rather than optimizing for traditional markers—promotions, salaries, titles—workers might pursue creative fulfillment, impact, or work-life balance alignment.
What truly constitutes meaningful work when machines handle execution? The answer involves decision-making capability and generating insights machines cannot replicate.