Can we create a clear understanding of what agentic AI is and does?
OECD definitional work on agentic AI could anchor how Australian agencies define scope in AI governance frameworks and procurement criteria.
Key points
- OECD is working to establish a clear definitional framework for agentic AI and AI agents.
- Agentic AI is increasingly cited in Australian governance discussions - OECD framing may influence local definitions.
- Extracted text is a preview only; full content and analytical depth cannot be assessed from this excerpt.
Summary
The OECD AI Wonk Blog has published a piece examining whether a clear, shared understanding of agentic AI can be established. The item notes that LLM-based AI agents are becoming more autonomous and capable of operating across physical and virtual environments, and frames this as a potential driver of innovation and investment. The extracted content is a truncated preview, so the full argument and any proposed definitional criteria are not available for assessment. OECD definitional work in this space is relevant to Australian agencies developing AI governance policies that need to scope agentic systems.
Implications for Australian agencies
- Monitor Policy and governance teams may want to monitor OECD's emerging definitional work on agentic AI for potential alignment with Australian Government AI frameworks.
- Consider Agencies developing AI governance policies or procurement criteria could consider whether OECD definitions of agentic AI are suitable reference points for scoping agentic system risks.
Implications are AI-generated. Starting points, not advice.
"Can we create a clear understanding of what agentic AI is and does?" Source: OECD AI Wonk Blog Published: 3 March 2026 URL: https://wp.oecd.ai/what-agentic-ai-is-and-does/ The OECD AI Wonk Blog has published a piece examining whether a clear, shared understanding of agentic AI can be established. The item notes that LLM-based AI agents are becoming more autonomous and capable of operating across physical and virtual environments, and frames this as a potential driver of innovation and investment. The extracted content is a truncated preview, so the full argument and any proposed definitional criteria are not available for assessment. OECD definitional work in this space is relevant to Australian agencies developing AI governance policies that need to scope agentic systems. Implications for Australian agencies: - [Monitor] Policy and governance teams may want to monitor OECD's emerging definitional work on agentic AI for potential alignment with Australian Government AI frameworks. - [Consider] Agencies developing AI governance policies or procurement criteria could consider whether OECD definitions of agentic AI are suitable reference points for scoping agentic system risks. Retrieved from SIMS, 18 May 2026.