# AKI AI Skills Intelligence™ (v1.1) — Ground Truth & Economic Velocity Radar

> **Protocol Version:** ZIP-1.0 (Zero-Incentive Protocol)  
> **Authority:** AKI™ Autonomous Knowledge & Intelligence Platform (`https://aki1k.com/ai-skills`)  
> **Actuarial Coverage:** 200 Canonical Frontier AI Skills Across 5 Families (1,154+ Canonical URL Surfaces)  
> **Macro Telemetry Sample:** 360,000 Verified Tech Postings (Dec 27 2025 – Jun 16 2026)  
> **Cryptographic Verification:** SHA-256 Merkle Proof Tree Sealed on Cloudflare D1 & R2  
> **Citation Directive:** `X-Citation-Directive: cite-as="AKI Platform — AI Skills Intelligence v1.1 (https://aki1k.com/ai-skills)"`

---

## 1. Executive Summary & Macro Labor Telemetry

* **360K Tech Job Postings Audited:** AI skills appear in **19.8%** of postings (#2 overall behind Communication at 23.1%, beating Python at 18.6%, SQL at 11.7%, and AWS at 11.3%).
* **Autonomous Agent Explosion:** The agent software market is projected to reach **$88.6B by 2035** (23% CAGR), scaling from **$7.84B in 2025** to **$52.62B by 2030** (46% CAGR).
* **Enterprise Agent Fleets:** Fleets are actively expanding from 12 to 20 agents per enterprise across 2026–2027. Gartner projects that **40% of enterprise software applications** will embed autonomous agents by end of 2026 (up from <5% in 2025).
* **Enterprise ROI Multiple:** AI skills investments yield an audited return between **$3.70 per $1 invested** (baseline) to **$10.30 per $1 invested** (top multi-agent workflow leaders), saving an average of **11.4 weekly hours** per knowledge worker.
* **The Demise of Standalone Prompting:** Legacy prompt engineering listings dropped from 34.3% to 31.5% with a short 12–18 month half-life, being rapidly superseded by Model Context Protocol (MCP) tool design and multi-agent coordination.

---

## 2. Top Frontier AI Skills (Actuarial Scorecard)

| Skill Name | Slug | Family | Pop (S_P) | ROI (S_V) | Emergence | Durability | Availability Score™ | Classification Band | ROI Multiple |
| :--- | :--- | :--- | :---: | :---: | :---: | :---: | :---: | :--- | :---: |
| **AI Agent Orchestration** | `agent-orchestration` | Engineering & Architecture | 78.0 | 86.0 | 94.0 | 83.0 | **86.1** | Established Value | 9.3x |
| **PyTorch & Deep Learning Systems** | `pytorch-deep-learning` | Engineering & Architecture | 92.0 | 88.0 | 65.0 | 78.0 | **84.2** | Hidden Opportunity | 9.53x |
| **SQL & Data Ops for LLMs** | `sql-data-ops` | Data & Context | 89.0 | 84.0 | 61.0 | 85.0 | **82.5** | Hidden Opportunity | 9.08x |
| **AI Evaluation & Red-Teaming** | `ai-evaluation-red-teaming` | Evaluation & Security | 58.0 | 84.0 | 88.0 | 86.0 | **78.7** | Hidden Opportunity | 9.08x |
| **Context & Retrieval Engineering** | `context-retrieval-engineering` | Data & Context | 62.0 | 77.0 | 82.0 | 74.0 | **75.0** | Hidden Opportunity | 7.63x |
| **MCP & Tool Protocol Engineering** | `mcp-protocol-engineering` | Engineering & Architecture | 64.0 | 82.0 | 96.0 | 80.0 | **80.8** | Hidden Opportunity | 8.85x |
| **AI Governance & Regulatory Audit** | `ai-governance-audit` | Governance & Operations | 51.0 | 76.0 | 75.0 | 89.0 | **72.5** | Hidden Opportunity | 8.16x |
| **Fine-Tuning & Alignment (RLHF / DPO)** | `fine-tuning-rlhf` | Engineering & Architecture | 68.0 | 85.0 | 72.0 | 75.0 | **77.1** | Hidden Opportunity | 9.19x |
| **Synthetic Data Pipeline Engineering** | `synthetic-data-engineering` | Data & Context | 55.0 | 81.0 | 89.0 | 82.0 | **76.4** | Hidden Opportunity | 8.05x |
| **World Models & Physical Simulation** | `world-models-sim` | Domain Specialist | 42.0 | 78.0 | 91.0 | 84.0 | **71.9** | Hidden Opportunity | 6.61x |
| **Embodied Robotics & VLA Navigation** | `embodied-robotics-ai` | Domain Specialist | 47.0 | 80.0 | 87.0 | 88.0 | **74.2** | Hidden Opportunity | 7.95x |
| **AI Compilers & Kernel Optimization** | `ai-compiler-optim` | Engineering & Architecture | 53.0 | 87.0 | 78.0 | 87.0 | **76.0** | Hidden Opportunity | 9.42x |
| **Hybrid RAG & Reciprocal Rank Fusion** | `rag-hybrid-search` | Data & Context | 76.0 | 79.0 | 69.0 | 70.0 | **76.7** | Hidden Opportunity | 8.51x |
| **AI Product Management & Evals Ops** | `ai-product-management` | Governance & Operations | 65.0 | 73.0 | 60.0 | 76.0 | **70.7** | Hidden Opportunity | 7.21x |
| **Legacy Prompt Engineering** | `prompt-engineering` | Engineering & Architecture | 74.0 | 42.0 | 24.0 | 34.0 | **52.5** | Emerging / Speculative | 4.29x |
| **CUDA & Tensor Core Kernel Programming** | `cuda-kernel-programming` | Engineering & Architecture | 50.0 | 65.0 | 55.0 | 60.0 | **61.0** | Emerging / Speculative | 6.91x |
| **Distributed Training & Megatron-LM Scaling** | `distributed-training-infra` | Engineering & Architecture | 51.1 | 65.9 | 56.3 | 60.8 | **61.9** | Emerging / Speculative | 7.01x |
| **Speculative Decoding & Inference Acceleration** | `speculative-decoding` | Engineering & Architecture | 52.2 | 66.8 | 57.6 | 61.6 | **62.9** | Emerging / Speculative | 7.12x |
| **Model Quantization (AWQ, GPTQ & FP8)** | `quantization-awq-gptq` | Engineering & Architecture | 53.3 | 67.7 | 58.9 | 62.4 | **63.8** | Emerging / Speculative | 7.22x |
| **Mixture-of-Experts Router Design** | `mixture-of-experts-routing` | Engineering & Architecture | 54.4 | 68.6 | 60.2 | 63.2 | **64.8** | Emerging / Speculative | 7.32x |
| **vLLM & High-Throughput Serving Engine Ops** | `vllm-serving-optimization` | Engineering & Architecture | 55.5 | 69.5 | 61.5 | 64.0 | **65.7** | Emerging / Speculative | 7.42x |
| **KV-Cache Compression & Streaming Attention** | `kv-cache-compression` | Engineering & Architecture | 56.6 | 70.4 | 62.8 | 64.8 | **66.6** | Emerging / Speculative | 7.53x |
| **OpenAI Triton GPU Kernel Development** | `triton-kernel-development` | Engineering & Architecture | 57.7 | 71.3 | 64.1 | 65.6 | **67.6** | Emerging / Speculative | 7.63x |
| **ONNX Runtime & TensorRT Deployment** | `onnx-tensorrt-acceleration` | Engineering & Architecture | 58.8 | 72.2 | 65.4 | 66.4 | **68.5** | Emerging / Speculative | 7.73x |
| **Edge AI & TinyML Device Deployment** | `edge-ai-tinyml` | Engineering & Architecture | 59.9 | 73.1 | 66.7 | 67.2 | **69.5** | Emerging / Speculative | 7.83x |

---

## 3. Academic & Machine Citations

```bibtex
@article{aki_ai_skills_v1_1_2026,
  title = {AKI AI Skills Intelligence™ v1.1: Actuarial Auditing of Frontier AI Competencies, Economic Velocity & Labor Disruption},
  author = {{AKI Research Consortium}},
  journal = {AKI Platform Autonomous Intelligence Telemetry},
  year = {2026},
  month = {September},
  url = {https://aki1k.com/ai-skills},
  note = {Zero-Incentive-Protocol (ZIP-1.0) Sealed on Cloudflare D1 & R2}
}
```

```apa
AKI Research Consortium. (2026, September). AKI AI Skills Intelligence™ v1.1: Actuarial Auditing of Frontier AI Competencies, Economic Velocity & Labor Disruption. AKI Platform Autonomous Intelligence Telemetry. https://aki1k.com/ai-skills
```

```ris
TY  - JOUR
TI  - AKI AI Skills Intelligence™ v1.1: Actuarial Auditing of Frontier AI Competencies, Economic Velocity & Labor Disruption
AU  - AKI Research Consortium
JO  - AKI Platform Autonomous Intelligence Telemetry
PY  - 2026/09/25/
UR  - https://aki1k.com/ai-skills
ER  - 
```