b2agi/physical-ai-white-paper-2027

B2AGI | EPAI
Embodied Physical Agentic Intelligence
The Reference Behind the Decision.
B2AGI develops research and reference frameworks for understanding how intelligence, industry, capital and governance shape one another.
EPAI is an integrated intelligence framework proposed by B2AGI, connecting Embodied AI, Physical AI, and Agentic AI across technology, industry, capital, and governance.
One ecosystem. Across borders. In your language.
Research & publications · White paper chapter guide · Industry Atlas & methodology
Read Henry Chan Jung’s EPAI essay: One ecosystem. Across borders. In your language.
Preview EPAI 2027: four publication spreads for the new six-part, 21-chapter edition
#B2AGI #EPAI #transoperability #EmbodiedPhysicalAgenticIntelligence #EmbodiedAI #PhysicalAI #AIAgent #AgenticAI
Illustrated chapter guide · Five parts · 46 chapters
Industry, Capital, Security & Global Cooperation
English · 한국어 · 简体中文 · Español · Français · العربية
What separates a successful demonstration from work a customer can rely on?
Five parts and 46 chapters follow Physical AI from models and machines to customer operations, financing, security and coexistence. Read by chapter, or start with the question closest to your work.
B2AGI · Atlas · Instagram
## Contents
### 1. Intelligence
01 — Physical AI in 2027
02 — Choosing the Right Body
03 — From Models to Action
04 — The Robot Learning Industry
05 — Physical AI Value Chain
06 — From Demonstration to Deployment
### 2. Physical
07 — Who Needs Physical AI?
08 — Reading the Field
09 — China: Building an Industry
10 — China’s Industrial Clusters
11 — China: Companies and Customers
12 — America: Models, Capital, and Customers
13 — America’s Industrial Clusters
14 — Korea: From Manufacturing Strength to New Markets
15 — Korea’s Industrial Clusters
16 — Manufacturing and Logistics: Where Automation Pays
17 — Intelligence in Motion
18 — Physical AI in Everyday Life
19 — Comparing China, America, and Korea
20 — From Global Examples to Local Deployment
### 3. Capital
21 — Public Funding: From Policy to Practice
22 — Who Finances Physical AI?
23 — Why Customers Buy Again
24 — The True Cost of a Task
25 — Revenue, Margins, and Value Capture
26 — Reading the Financial Statements
27 — Financing Robot Assets
28 — Robot Assets, RWA, STO, and Tokenization
29 — The Agent Transaction Economy
30 — What Makes an Investment Work?
### 4. Trust
31 — Safety and Accountability
32 — Securing Physical AI
33 — Industrial Sovereignty, National Security, and Cooperation
34 — Identity, Delegation, and Authority
35 — The Regulatory Landscape
36 — Standards, Certification, and Assurance
37 — TRACE: Records of Action and Change