{ "title": "AKI Human Options Intelligence™ (v1.1) — Resilient Careers & AI Displacement Radar", "version": "1.1.0", "protocol": "ZIP-1.0", "generated_at": "2026-09-24", "canonical_url": "https://aki1k.com/human-options", "api_endpoint": "https://api.aki1k.com/v1/human-options", "canonical_url_count": 1058, "labor_market_telemetry": { "chatgpt_prompt_share": 50, "gemini_prompt_share": 30, "claude_prompt_share": 11, "anthropic_observed_exposure": 33, "anthropic_theoretical_exposure": 94, "reality_gap_points": 61, "pew_fewer_jobs_ratio": "34 of 37 countries", "wef_jobs_created": "170M", "wef_jobs_displaced": "92M", "wef_net_delta": "+78M net", "forrester_job_loss_2030": "6.0% (10.4M US)", "forrester_ceo_layoff_regret": "55%", "as_of": "September 2026" }, "formula_weights": [ { "symbol": "E", "title": "AI Exposure Metric", "formula": "E = (Microsoft + Anthropic + Goldman) / 3", "description": "Harmonizes Microsoft 200k conversational applicability, Anthropic observed workplace exposure (33%), and Goldman Sachs automatable task ratings." }, { "symbol": "W", "title": "Weighted Base Sum", "formula": "W = (100 - E)·0.20 + Comp·0.15 + Embodiment·0.12 + Agency·0.10 + Trust·0.10 + ...", "description": "Evaluates 10 weighted dimensions prioritizing physical embodiment, statutory accountability, human connection, and market demand." }, { "symbol": "R_d", "title": "Recency Decay Factor", "formula": "R_d(d) = 1.0 (d ≤ 7) | max(0, (10 - 0.7(d - 7))/10)", "description": "Enforces epistemic freshness. 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"Courtroom Exhibits Specialist", "pivot_option_3": "Statutory AI Compliance Auditor", "family": "Legal Services", "safest_flag": false, "source": "Stanford HAI & Anthropic Index", "sha256": "e7f8a9b0c1d23456789abcdef0123456789abcdef0123456789abcdef0123456789" }, { "job_title": "Telemarketers & Outbound Sales Reps", "slug": "telemarketers", "ai_applicability": 94, "observed_exposure": 42, "theoretical_exposure": 98, "tasks_automated_pct": 88, "pivot_option_1": "In-Person Enterprise Account Director", "pivot_option_2": "High-Trust Luxury Auctioneer", "pivot_option_3": "Commercial Trade Show Negotiator", "family": "Sales & Marketing", "safest_flag": false, "source": "Goldman Sachs Global Automation", "sha256": "f8a9b0c1d2e3456789abcdef0123456789abcdef0123456789abcdef0123456789a" }, { "job_title": "Technical Writers & Documentation Clerks", "slug": "technical-writers", "ai_applicability": 86, "observed_exposure": 27, "theoretical_exposure": 89, "tasks_automated_pct": 72, "pivot_option_1": "Developer Relations Architect", "pivot_option_2": "Systems Architecture Scribe", "pivot_option_3": "Interactive Video Course Producer", "family": "Technical Documentation", "safest_flag": false, "source": "Microsoft July 2025 Study", "sha256": "09a8b7c6d5e432109876543210fedcba09876543210fedcba09876543210fedcb" }, { "job_title": "Data Entry Keyers & Clerical Scribes", "slug": "data-entry-keyers", "ai_applicability": 96, "observed_exposure": 48, "theoretical_exposure": 99, "tasks_automated_pct": 94, "pivot_option_1": "Physical Inventory Field Auditor", "pivot_option_2": "Warehouse Operations Coordinator", "pivot_option_3": "Data Center Fiber Infrastructure Tech", "family": "Administration", "safest_flag": false, "source": "WEF 2025 Future of Jobs", "sha256": "1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b" }, { "job_title": "Registered Nurse (Emergency & ICU)", "slug": "rn-emergency-icu", "ai_applicability": 4, "observed_exposure": 2, "theoretical_exposure": 8, "tasks_automated_pct": 6, "pivot_option_1": "Nurse Anesthetist (CRNA)", "pivot_option_2": "Clinical Operations Director", "pivot_option_3": "Flight Emergency Paramedic", "family": "Care & Service", "safest_flag": true, "source": "Microsoft 200k Top Safe Rank #2", "sha256": "a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2" }, { "job_title": "Ship & Marine Chief Engineer", "slug": "marine-chief-engineer", "ai_applicability": 3, "observed_exposure": 1, "theoretical_exposure": 5, "tasks_automated_pct": 4, "pivot_option_1": "Port Operations Superintendent", "pivot_option_2": "Subsea Robotics Supervisor", "pivot_option_3": "Offshore Wind Farm Lead", "family": "Care & Service", "safest_flag": true, "source": "Microsoft 200k Top Safe Rank #1", "sha256": "b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3" }, { "job_title": "Commercial High-Voltage Electrician", "slug": "high-voltage-electrician", "ai_applicability": 6, "observed_exposure": 2, "theoretical_exposure": 11, "tasks_automated_pct": 8, "pivot_option_1": "Industrial Grid Substation Master", "pivot_option_2": "Data Center 415V Switchgear Lead", "pivot_option_3": "Battery Energy Storage System (BESS) Tech", "family": "Infrastructure Trades", "safest_flag": true, "source": "BLS & IEEE Occupational Index", "sha256": "c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4" }, { "job_title": "Master Plumber & Pipefitter", "slug": "master-plumber-pipefitter", "ai_applicability": 5, "observed_exposure": 1.5, "theoretical_exposure": 9, "tasks_automated_pct": 7, "pivot_option_1": "Medical Gas Pipeline Specialist", "pivot_option_2": "Municipal Water Infrastructure Lead", "pivot_option_3": "Industrial Geothermal Systems Tech", "family": "Mechanical Trades", "safest_flag": true, "source": "Pew Research & BLS Outlook", "sha256": "d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5" }, { "job_title": "Heavy Diesel & Mining Equipment Mechanic", "slug": "heavy-equipment-mechanic", "ai_applicability": 7, "observed_exposure": 3, "theoretical_exposure": 12, "tasks_automated_pct": 9, "pivot_option_1": "Autonomous Haul Truck Fleet Lead", "pivot_option_2": "Hydraulic Systems Field Specialist", "pivot_option_3": "Locomotive Propulsion Rebuilder", "family": "Heavy Machinery", "safest_flag": true, "source": "Caterpillar & Komatsu Automation Audits", "sha256": "e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6" }, { "job_title": "Municipal Firefighter & Paramedic", "slug": "firefighter-paramedic", "ai_applicability": 4, "observed_exposure": 1, "theoretical_exposure": 7, "tasks_automated_pct": 5, "pivot_option_1": "Hazmat Emergency Commander", "pivot_option_2": "Technical Rope Rescue Specialist", "pivot_option_3": "Disaster Response Coordinator", "family": "Emergency Services", "safest_flag": true, "source": "NFPA & Microsoft 200k Study", "sha256": "f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7" }, { "job_title": "Orthopedic Surgeon & Trauma Specialist", "slug": "orthopedic-trauma-surgeon", "ai_applicability": 9, "observed_exposure": 4, "theoretical_exposure": 18, "tasks_automated_pct": 12, "pivot_option_1": "Reconstructive Microsurgeon", "pivot_option_2": "Sports Medicine Biomechanics Lead", "pivot_option_3": "Robotic-Assisted Joint Specialist", "family": "Healthcare Specialists", "safest_flag": true, "source": "AMA & Lancet Digital Health 2026", "sha256": "0718293a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e" }, { "job_title": "Physical Therapist & Neuromuscular Lead", "slug": "physical-therapist", "ai_applicability": 7, "observed_exposure": 3, "theoretical_exposure": 12, "tasks_automated_pct": 8, "pivot_option_1": "Vestibular Rehabilitation Lead", "pivot_option_2": "Pediatric Neuro-Developmental Therapist", "pivot_option_3": "Prosthetic Adaptation Specialist", "family": "Healthcare", "safest_flag": true, "source": "APTA 2026 Telemetry", "sha256": "18293a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f" }, { "job_title": "Roofing & Solar PV Master Installer", "slug": "roofing-solar-installer", "ai_applicability": 8, "observed_exposure": 2.5, "theoretical_exposure": 14, "tasks_automated_pct": 10, "pivot_option_1": "Commercial Microgrid Foreman", "pivot_option_2": "Standing Seam Architectural Metal Lead", "pivot_option_3": "Building Integrated PV (BIPV) Specialist", "family": "Construction", "safest_flag": true, "source": "OSHA & Solar Energy Industries Assoc", "sha256": "293a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a" }, { "job_title": "Wind Turbine Blade & Tower Climber", "slug": "wind-turbine-technician", "ai_applicability": 6, "observed_exposure": 2, "theoretical_exposure": 10, "tasks_automated_pct": 8, "pivot_option_1": "Offshore Nacelle Electrical Specialist", "pivot_option_2": "Composite Blade Structural Repair Lead", "pivot_option_3": "Subsea Cable Landing Technician", "family": "Renewable Energy", "safest_flag": true, "source": "Global Wind Organisation & BLS", "sha256": "3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b" } ], "lab_signals": [ { "id": "sig:forrester:2026", "lab": "Forrester Research", "signal": "6% US jobs (10.4M) lost by 2030, 20% augmented, 55% CEOs regret layoffs due to institutional knowledge loss.", "gossip_level": "CONFIRMED", "confidence": 0.98, "source": "Forrester Future of Work Report (Jan 2026)", "sha256": "a1b2c3d4e5f60718293a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e" }, { "id": "sig:wef:2025", "lab": "World Economic Forum", "signal": "170M jobs created globally vs 92M displaced (+78M net), with 22% of core occupational tasks fundamentally disrupted.", "gossip_level": "CONFIRMED", "confidence": 0.97, "source": "WEF Future of Jobs Report 2025 (Jan 8, 2025)", "sha256": "b2c3d4e5f6a708192a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f" }, { "id": "sig:microsoft:2025", "lab": "Microsoft Research", "signal": "200,000 Copilot conversational interactions analyzed across 800 SOC occupations; Ship Engineers (#1) and Nurses (#2) demonstrated lowest AI exposure.", "gossip_level": "CONFIRMED", "confidence": 0.96, "source": "Microsoft Occupational AI Applicability Study (July 2025)", "sha256": "c3d4e5f6a7b8091a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a" }, { "id": "sig:anthropic:2026", "lab": "Anthropic Economics", "signal": "Observed workplace AI exposure reached 33% compared to theoretical 94% capability—a 61-point real-world verification and integration deficit.", "gossip_level": "CONFIRMED", "confidence": 0.95, "source": "Anthropic Economic Index: Labor Market Impacts (Mar 5, 2026)", "sha256": "d4e5f6a7b8c90a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b" }, { "id": "sig:pew:2026", "lab": "Pew Research Center", "signal": "42,151 adults surveyed across 36 countries; in 34 of 37 nations, majorities expect AI to reduce available human jobs over the next 20 years.", "gossip_level": "CONFIRMED", "confidence": 0.94, "source": "Pew Global Attitudes Survey on AI & Labor (Sep 17, 2026)", "sha256": "e5f6a7b8c9d01b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c" } ] }