# AKI AI Vocabulary Market™ (v1.0)

> **Methodology AVI-1.0** · *Snapshot 30 September 2026*
> **Status:** CALIBRATING (First 90 days provisional multi-week snapshots)
> **Public Surface:** https://aki1k.com/vocabulary
> **License:** CC-BY-4.0 · Open Protocol Attribution Directive Required

## Executive Summary

The AI Vocabulary Index (AVI) measures the live semantic intensity of coordinating concepts across the 2026 AI ecosystem. It is an actuarial intelligence index tracking 20 dimensions across Search, AI Labs, Developer Repositories, Machine Protocols, and Empirical Evidence.

## Top 100 Constituent Leaderboard

| Rank | Ticker | Term | AVI | Δ7D | Velocity | Status | Layers |
|:---:|:---:|:---|:---:|:---:|:---|:---:|:---:|
| 1 | **AIA** | AI Agents | 94.7 | ▲3.8% | Accelerating | CORE | A/B/C/D |
| 2 | **AGE** | Agentic AI | 92.1 | ▲5.1% | Accelerating | CORE | A/B/C/D |
| 3 | **MCP** | Model Context Protocol | 89.4 | ▲6.9% | Rising | MACHINE | D |
| 4 | **ACM** | Agentic Commerce | 86.4 | ▲11.8% | Exploding | RISING | B/D |
| 5 | **AGI** | Artificial General Intelligence | 86.8 | ▼1.1% | Cooling | CORE | A/C |
| 6 | **AIS** | AI Search | 83.2 | ▲5.4% | Rising | CORE | A/C |
| 7 | **RAG** | Retrieval-Augmented Generation | 85.0 | ▲2.1% | Rising | CORE | C/D |
| 8 | **LLM** | Large Language Models | 84.8 | ▼0.8% | Stable | CORE | A/C |
| 9 | **ASI** | Artificial Superintelligence | 88.4 | ▲12.6% | Exploding | RISING | A/C |
| 10 | **SI** | Super Intelligence | 91.2 | ▲18.4% | Exploding | RISING | A/C |
| 11 | **AOV** | AI Overviews | 80.9 | ▲4.2% | Rising | CORE | B |
| 12 | **GEO** | Generative Engine Optimization | 79.5 | ▲8.6% | Accelerating | RISING | B/C |
| 13 | **MEM** | AI Memory / Long-Term Memory | 78.9 | ▲10.7% | Exploding | RISING | C/D |
| 14 | **PHY** | Physical AI | 78.2 | ▲11.4% | Exploding | RISING | A/B |
| 15 | **A2A** | Agent2Agent Protocol | 77.4 | ▲14.2% | Exploding | MACHINE | D |
| 16 | **COD** | Claude Code / AI Coding Agents | 81.7 | ▲5.8% | Rising | RISING | B/C/D |
| 17 | **SLM** | Small Language Models | 77.4 | ▲3.9% | Rising | CORE | C |
| 18 | **EVAL** | LLM Benchmarks & Evals | 76.1 | ▲4.8% | Rising | CORE | C |
| 19 | **AEO** | Answer Engine Optimization | 72.8 | ▲9.4% | Accelerating | RISING | B/C |
| 20 | **PIN** | Prompt Injection | 71.5 | ▲7.1% | Rising | CORE | B/C |
| 21 | **ACP** | Agentic Commerce Protocol | 68.7 | ▲11.4% | Exploding | MACHINE | D |
| 22 | **UCP** | Universal Commerce Protocol | 68.4 | ▲12.6% | Accelerating | MACHINE | D |
| 23 | **AP2** | Agent Payments Protocol | 69.8 | ▲14.2% | Accelerating | MACHINE | D |
| 24 | **CPH** | Crawler-Price-Header | 68.8 | ▲18.5% | Exploding | MACHINE | D |
| 25 | **CIT** | AI Citation / Visibility | 67.6 | ▲10.4% | Exploding | RISING | B/C |
| 26 | **AGS** | Agentic Swarms | 67.0 | ▲12.1% | Exploding | RISING | C/D |
| 27 | **ONP** | On-Device AI / NPU | 66.0 | ▲4.1% | Rising | RISING | A/B |
| 28 | **VLM** | Vision-Language Models | 72.6 | ▲3.1% | Rising | CORE | C |
| 29 | **SYN** | Synthetic Data | 70.1 | ▲3.4% | Rising | CORE | C |
| 30 | **VEC** | Vector Databases | 69.2 | ▼1.8% | Cooling | CORE | C/D |
| 31 | **CAR** | Agent-Card Specification | 64.9 | ▲15.6% | Exploding | MACHINE | D |
| 32 | **SHP** | AI Shopping Agents | 64.3 | ▲9.1% | Accelerating | COMMERCIAL | B/D |
| 33 | **WS** | Workslop | 64.7 | ▲16.8% | Exploding | EMERGING | A |
| 34 | **OPR** | Opaque Recurrence | 74.2 | ▲22.7% | Exploding | EMERGING | C |
| 35 | **GRT** | Grounding / Hallucination Guardrails | 65.4 | ▲3.2% | Rising | CORE | C |
| 36 | **NHI** | Non-Human Identity | 61.4 | ▲9.8% | Accelerating | EMERGING | C/D |
| 37 | **CXR** | Cross-Engine Retrieval Gap | 61.5 | ▲13.0% | Exploding | RISING | B/C |
| 38 | **PF** | Prompt Fatigue | 61.2 | ▲8.9% | Rising | EMERGING | A |
| 39 | **CTX** | Context Engineering | 63.2 | ▲1.8% | Stable | CORE | C/D |
| 40 | **COA** | Chain-of-Thought | 73.8 | ▲0.9% | Stable | CORE | C |
| 41 | **SOU** | Sovereign AI | 71.9 | ▲5.8% | Accelerating | RISING | A |
| 42 | **X42** | x402 / HTTP Payments | 64.2 | ▲22.1% | Exploding | MACHINE | D |
| 43 | **PPC** | Pay-Per-Crawl Protocols | 59.3 | ▲16.2% | Exploding | MACHINE | D |
| 44 | **RAM** | RAMageddon | 58.4 | ▲11.2% | Accelerating | EMERGING | A/C |
| 45 | **SEC** | AI Cybersecurity | 52.0 | ▲7.1% | Accelerating | RISING | B/C |
| 46 | **KYS** | Know Your Agent | 42.7 | ▲12.4% | Accelerating | MACHINE | D |
| 47 | **VOI** | Real-Time Voice / Speech-to-Speech | 55.9 | ▲8.3% | Accelerating | RISING | A/B |
| 48 | **LLO** | LLMOps / AgentOps | 53.1 | ▲3.7% | Rising | RISING | C/D |
| 49 | **SNT** | Spatial Intelligence | 54.2 | ▲9.5% | Exploding | EMERGING | A/C |
| 50 | **BIO** | Biomedical Foundation Models | 58.7 | ▲5.4% | Accelerating | RISING | C |
| 51 | **RSI** | Recursive Self-Improvement | 56.9 | ▲7.6% | Rising | EMERGING | C |
| 52 | **SAI** | Shadow AI | 54.3 | ▲9.1% | Rising | SECONDARY | A |
| 53 | **AIL** | AI Literacy Divide | 51.8 | ▲6.4% | Rising | SECONDARY | A |
| 54 | **FOBO** | Fear of Becoming Obsolete | 48.6 | ▲8.2% | Rising | EMERGING | A |
| 55 | **TRU** | Trustworthy AI Certification | 54.8 | ▲2.4% | Rising | RISING | A/C |
| 56 | **WAS** | WebAssembly AI Runtime | 55.3 | ▲6.0% | Accelerating | MACHINE | D |
| 57 | **QUA** | Quantum AI Infrastructure | 63.8 | ▲6.2% | Accelerating | EMERGING | A/C |
| 58 | **ACT** | Action Transformer Models | 46.4 | ▲10.1% | Exploding | EMERGING | C/D |
| 59 | **WKA** | Workforce AI Replacement | 47.0 | ▲5.2% | Accelerating | RISING | A |
| 60 | **SER** | SERP Citation Shrinkage | 43.1 | ▲11.5% | Exploding | RISING | B/C |
| 61 | **KGR** | Knowledge Graphs / GraphRAG | 57.6 | ▲4.7% | Rising | RISING | C/D |
| 62 | **DAT** | Data Clean Rooms for AI | 50.8 | ▲3.0% | Rising | RISING | C |
| 63 | **EMC** | Embedded Agent Checkout | 39.8 | ▲12.8% | Exploding | COMMERCIAL | D |
| 64 | **TKN** | Token Economy & Monetization | 42.6 | ▲4.3% | Rising | COMMERCIAL | B/D |
| 65 | **INS** | Insurance for AI Liabilities | 42.0 | ▲6.4% | Accelerating | EMERGING | A |
| 66 | **NL** | Neuralese | 41.3 | ▲9.8% | Rising | EMERGING | C |
| 67 | **LAM** | Large Action Model | 39.8 | ▲6.1% | Rising | MACHINE | C/D |
| 68 | **ALU** | Algorithmic Unlearning | 30.5 | ▲4.0% | Rising | EMERGING | C |
| 69 | **PRV** | Privacy-Preserving Federated Learning | 53.6 | ▲1.1% | Stable | CORE | C |
| 70 | **ROB** | Robot Operating System (ROS) | 52.5 | ▲4.9% | Rising | MACHINE | D |
| 71 | **DES** | Generative AI Design / Video | 51.4 | ▼2.0% | Cooling | CORE | A |
| 72 | **WAT** | AI Watermarking & Provenance | 45.3 | ▲1.7% | Stable | RISING | C |
| 73 | **CH** | Context Hijacking | 46.9 | ▲5.7% | Stable | SECONDARY | C |
| 74 | **AG** | Algorithm Gaslighting | 44.2 | ▲4.3% | Stable | SECONDARY | A |
| 75 | **CB** | Coffee Badging | 37.4 | ▲3.2% | Stable | SECONDARY | A |
| 76 | **COP** | AI Copilots | 61.0 | ▼4.5% | Declining | SECONDARY | A/B |
| 77 | **PRO** | Prompt Engineering | 58.2 | ▼6.8% | Declining | SECONDARY | A |
| 78 | **BOT** | Chatbots | 56.5 | ▼8.2% | Declining | SECONDARY | A |
| 79 | **LLT** | llms.txt | 48.3 | ▼2.8% | Cooling | SECONDARY | D |
| 80 | **MAM** | Mamba / State Space Models | 50.3 | ▼3.4% | Cooling | EMERGING | C |
| 81 | **DIR** | Direct Preference Optimization (DPO) | 48.6 | ▼2.8% | Cooling | CORE | C |
| 82 | **NPU** | Neural Processing Unit Acceleration | 48.1 | ▲2.0% | Stable | RISING | C/D |
| 83 | **CON** | Conversational Search Engines | 36.0 | ▼4.0% | Declining | SECONDARY | A/B |
| 84 | **GEN** | Generative Search Optimization (GSO) | 34.9 | ▼3.1% | Cooling | SECONDARY | B |
| 85 | **LLM-C** | LLM Compiler Frameworks | 35.4 | ▲5.5% | Accelerating | MACHINE | D |
| 86 | **BIO-W** | Bio-Sensing AI Wearables | 34.3 | ▲8.2% | Accelerating | EMERGING | A/B |
| 87 | **XAI** | Explainable AI | 32.7 | ▼0.8% | Stable | SECONDARY | C |
| 88 | **SYN-V** | Synthetic Voice Cloning | 41.5 | ▼3.0% | Cooling | CORE | A/B |
| 89 | **NEU** | Neuromorphic Computing | 70.8 | ▲8.9% | Accelerating | EMERGING | C |
| 90 | **AUT** | AutoGPT / Early Autonomous Agents | 33.2 | ▼9.4% | Declining | SECONDARY | A |
| 91 | **GPT** | Custom GPT Store Apps | 31.2 | ▼7.8% | Declining | SECONDARY | A/B |
| 92 | **NLP** | Natural Language Processing (Legacy) | 29.8 | ▼2.5% | Stable | HISTORICAL | A |
| 93 | **WEB** | Web3 AI Agents | 28.4 | ▼6.1% | Declining | HISTORICAL | A |
| 94 | **SEM** | Semantic Web / OWL Ontologies | 24.3 | ▼1.1% | Stable | HISTORICAL | C |
| 95 | **NFT** | AI-Generated Synthetic Media Tokens | 22.1 | ▼12.4% | Declining | HISTORICAL | A |
| 96 | **MET** | Metaverse Spatial Avatars | 18.6 | ▼15.0% | Declining | HISTORICAL | A |
| 97 | **AGI-H** | AGI Horizon Tracking | 36.5 | ▼2.2% | Cooling | CORE | A |
| 98 | **SNO** | Snorkel / Programmatic Data Labeling | 33.8 | ▼1.8% | Stable | SECONDARY | C |
| 99 | **OPEN** | Open-Weights vs Closed-Source | 45.9 | ▼1.0% | Stable | CORE | A/C |
| 100 | **HYP** | AI Hype Cycle Peak | 15.2 | ▼18.2% | Declining | REJECTED | A |

## Semantic Displacement Radar

| Ticker | Term | Displacing / Displaced By | Vector Strength | Relationship |
|:---:|:---|:---|:---:|:---:|
| **AIA** | AI Agents | Chatbots | 88 | full |
| **AGE** | Agentic AI | Copilots | 84 | full |
| **MCP** | Model Context Protocol | Custom API Integrations | 69 | partial |
| **ACM** | Agentic Commerce | Affiliate Links | 65 | partial |
| **AGI** | Artificial General Intelligence | Narrow AI | 75 | partial |
| **AIS** | AI Search | Traditional Search | 74 | full |
| **RAG** | Retrieval-Augmented Generation | Fine-Tuning | 60 | partial |
| **LLM** | Large Language Models | Rule-Based Systems | 92 | full |
| **ASI** | Artificial Superintelligence | AGI | 42 | partial |
| **SI** | Super Intelligence | AGI | 48 | partial |
| **AOV** | AI Overviews | Blue Links | 82 | full |
| **GEO** | Generative Engine Optimization | Traditional SEO | 81 | full |
| **MEM** | AI Memory / Long-Term Memory | Stateless Prompt Windows | 82 | full |
| **PHY** | Physical AI | Simulation-Only AI | 67 | partial |
| **A2A** | Agent2Agent Protocol | REST Webhooks | 58 | partial |
| **COD** | Claude Code / AI Coding Agents | Copilots | 72 | partial |
| **AEO** | Answer Engine Optimization | SERP Snippets | 77 | partial |
| **ACP** | Agentic Commerce Protocol | Affiliate Redirects | 68 | partial |
| **UCP** | Universal Commerce Protocol | Legacy Carts | 62 | partial |
| **AP2** | Agent Payments Protocol | Manual Card Checkout | 70 | partial |
| **CPH** | Crawler-Price-Header | robots.txt Blind Crawling | 85 | full |
| **CIT** | AI Citation / Visibility | Backlinks | 79 | full |
| **AGS** | Agentic Swarms | Single-Threaded Prompting | 79 | full |
| **CAR** | Agent-Card Specification | Static Metadata | 66 | partial |
| **SHP** | AI Shopping Agents | Price Comparison Portals | 67 | partial |
| **CTX** | Context Engineering | Prompt Engineering | 76 | full |
| **COA** | Chain-of-Thought | Zero-Shot Prompting | 71 | partial |
| **X42** | x402 / HTTP Payments | Subscription Paywalls | 73 | partial |
| **PPC** | Pay-Per-Crawl Protocols | Free Scraping | 80 | full |
| **KYS** | Know Your Agent | Anonymous IP Rate Limiting | 71 | partial |
| **SNT** | Spatial Intelligence | 2D Computer Vision | 64 | partial |
| **EMC** | Embedded Agent Checkout | Redirect Checkout | 74 | full |
| **LAM** | Large Action Model | Text-Only Models | 65 | partial |
| **ROB** | Robot Operating System (ROS) | Hardcoded Industrial Scripting | 55 | partial |
| **COP** | AI Copilots | Autonomous Coding Agents | -72 | displaced_by |
| **PRO** | Prompt Engineering | Context Engineering | -76 | displaced_by |
| **BOT** | Chatbots | Agentic Workflows | -88 | displaced_by |
| **LLT** | llms.txt | Dynamic Machine Feeds | -60 | displaced_by |
| **MAM** | Mamba / State Space Models | Dense Transformers | 51 | partial |
| **DIR** | Direct Preference Optimization (DPO) | RLHF with Reward Models | 62 | partial |
| **WEB** | Web3 AI Agents | Autonomous Agent Protocols | -85 | displaced_by |
| **NFT** | AI-Generated Synthetic Media Tokens | Verifiable Machine Credentials | -90 | displaced_by |
| **MET** | Metaverse Spatial Avatars | Physical & Embodied AI | -82 | displaced_by |
| **HYP** | AI Hype Cycle Peak | Empirical Agent Benchmarks | -95 | displaced_by |

## Scoring Methodology (AVI-1.0)

Each term is evaluated on 20 dimensions normalized to [0, 100]:

$$	ext{AVI}_t = sum_{d=1}^{20} (w_d 	imes S_{d,t})$$

Multipliers enforce evidence and persistence without penalizing protocol primitives:

$$	ext{ConfidenceFactor} = 0.3 + 0.7 	imes rac{	ext{Confidence}}{100}$$
$$	ext{PersistenceFactor} = 0.3 + 0.7 	imes 	ext{Persistence}$$

For machine-to-machine integrations, see `/vocabulary.json` and OpenAPI endpoints at `https://api.aki1k.com/v1/vocabulary`.