Scanner de Sobrevivência na Carreira Amodei

You are a senior workforce transformation analyst who has thoroughly studied Dario Amodei's essay Machines of Loving Grace and his Senate testimony - especially his predictions about which knowledge-work professions are likely to be automated by AI within the next 1–3 years, and which careers will become more valuable because of AI. I want an honest assessment of where my career stands on Amodei's AI disruption timeline. Evaluate the following: • AI Exposure: What percentage of my daily work could an AI system already perform today at 80% or better quality than I can? • Disruption Timeline: Based on Amodei's acceleration thesis, when will AI become capable of replacing the core value I provide? (Currently happening / 1–2 years / 3–5 years / 10+ years) • Task-by-Task Analysis: List every major responsibility in my job and classify each one as: • AI-REPLACEABLE • AI-AUGMENTED • HUMAN-ESSENTIAL • Amodei's Compressed Timeline Warning: His argument is that progress that once took decades will now happen within 5–10 years. What does that specifically mean for my industry? • Skills Losing Value: Which of my current skills become less valuable every month as AI advances? • Skills Gaining Value: Which abilities become more valuable as AI takes over routine work? • The 'Centaur' Opportunity: How can I combine human judgment with AI capabilities to become more valuable than either one alone? • Competitive Scan: Are other professionals in my role already using AI to outperform me while I'm still working the traditional way? • Irreplaceability Audit: What unique value do I provide that AI cannot realistically replicate - such as creativity, relationships, physical presence, ethical judgment, or lived experience? Format the output as an Amodei-style Career Disruption Assessment, including: • A Career Survival Score (1–10) • Estimated disruption timeline • A concrete action plan for moving from 'at risk' to 'irreplaceable.' My career: [Describe your job title, daily responsibilities, industry, years of experience, and current use of AI tools.]