AI Adoption - Systems Model
Stocks, Flows & Impediments to Rapid Diffusion · 2022–present ↓ Click any stock or resistance node for detail | Flows (dashed orange) show rates of change | Resistance nodes (red) act as governors limiting flow rates STOCK FLOW RESISTANCE REINFORCING LOOP AI Capability Models, APIs, Tools, Research ▲ High & Accelerating Workforce Readiness Skills, Habits, Comfort Institutional Trust Authorization & Confidence Regulatory Clarity Legal Frameworks & Standards ▼ Currently Low AI Adoption Real Workflow Integration ◈ Primary Output Stock Infrastructure Compute, APIs, Tooling ▲ Growing (uneven) capability exposure → training inflow API/service buildout demonstrated competence use cases define rules authorized deployment legal clearance Job Threat Perception ⊖ slows Publicized AI Failures ⊖ erodes trust Legal / Liability Uncertainty ⊖ chills adoption Legacy System Complexity ⊖ slows R+ Early adopter success builds proof cases → trust SYSTEM BOUNDARY: Enterprise AI Adoption B− Balancing loops (resistance nodes) create natural governor on adoption rate — — —