Well, Actually: Your Novel Was Never Going to Write Itself, but Now It Practically Can
An excerpt from Richa Lakhera's book Jobs 2.0: The Ultimate Guide to AI-Proof Your Career appears in The Hindu. The passage introduces a framework of human motivation areas, asking readers which aspects of themselves they identify with most strongly before making career decisions.
This teaches you that AI-proofing your career is not about learning Python. It is about understanding which human motivational domains remain difficult to automate. The technique is self-assessment against motivational categories before strategic planning. You must know your own terrain before you fortify it.
Richa Lakhera authored Jobs 2.0: The Ultimate Guide to AI-Proof Your Career. The Hindu published this excerpt. No specific reader outcomes or sales figures appear in the source.
Step 1: On paper or in a notes app, list five tasks you performed this week at work. Label each as 'Information processing,' 'Creative judgment,' 'Emotional labor,' 'Physical coordination,' or 'Social negotiation.' Expected outcome: A visible map of your current task distribution. Step 2: Circle any category that appears three or more times. Ask yourself: 'Which of these could a large language model approximate today?' Expected outcome: Identification of your highest-risk skills. Step 3: Pick one circled item and brainstorm one adjacent skill that requires human presence, such as 'client trust-building' alongside 'data analysis.' Expected outcome: A concrete direction for capability expansion you can research further.