Dear CEO – Canada is collecting names instead of building an implementation engine
We have an implementation gap in AI Governance and a missed opportunity for global responsible AI leadership.
Prestige is not a strategy.
A council of Canadian stars is useless if no one knows how to land the plane.
Canada recently announced a high profile AI advisory council led by Mark Carney.
The list of names is impressive.
It includes the giants of research and the heavyweights of venture capital.
But there is a massive blind spot in this group.
The council is heavy on thinkers and investors but remarkably light on the people actually tasked with the operational reality of AI.
To move business adoption from 12% to 60% by 2034, Canada needs more than academic consensus and capital.
It needs the implementation layer.
This means the people on the ground who manage generative & agentic AI, machine learning, computer vision, and natural language processing in live production environments.
It also means the architects preparing for the shift from generative models to agentic AI systems.
The argument for a top down approach is that consensus among research and capital creates the necessary market stability.
Stability does not equal adoption.
If the policy focuses only on the frontier models and ignores the messy reality of enterprise data governance and infrastructure, the target will remain out of reach.
Evan Solomon please do not forget:
1. To mandate representation from the implementation layer to include practitioners who govern live models.
2. To expand the strategic scope beyond generative hype to include the full spectrum of other "AI" architectures such as machine learning and computer vision.
3. To focus on the specific data readiness required for the transition to agentic AI enterprises.
Is your organization waiting for government guidance or are you building the internal governance required to actually use the technology?
#AI AIGovernance hashtagCanada