Frameworks, training, resources, and support-pathway context for businesses adapting to the AI transition.

Global landscape

Ecosystem

AI adoption is shaped by a global ecosystem of research institutions, model developers, and infrastructure providers.

Artificial intelligence is supported by a global ecosystem of research institutions, model developers, and infrastructure providers.

AIAC references this ecosystem to help organizations understand the broader landscape of AI development.

Research and policy

Institutions shaping the direction of AI

AI adoption is influenced by research labs, standards efforts, governance bodies, and public-interest organizations.

  • Research institutions and applied AI labs
  • Standards bodies and protocol initiatives
  • Public policy and governance organizations

Model providers

Companies building foundation models

Model providers supply the core systems that power generative AI applications, assistants, and agentic workflows.

  • General-purpose model developers
  • Domain-specific model vendors
  • Open-weight model communities

Infrastructure

Platforms that make AI systems deployable

Cloud providers, data platforms, and operational tooling enable secure, governed, and scalable AI adoption.

  • Cloud and compute providers
  • Vector, data, and orchestration systems
  • Observability and governance tooling