AI strategist Mohit Rajhans said the functionality and potential benefits of AI agents during a recent interview at the CTV News studio in Canada.
The shift toward agentic AI represents a move from passive tools to active collaborators. This transition could fundamentally change how businesses operate and how public services are delivered by automating complex, multi-step tasks.
Rajhans said AI agents are designed to carry out goals autonomously rather than simply responding to prompts. This capability allows them to provide significant upside to society and business if harnessed correctly. The integration of these tools is already appearing in professional environments, where some experts suggest that future work teams will consist of both humans and agents.
While the potential for efficiency is high, the rollout of these tools varies by sector. In education, K-12 and higher education leaders are using agentic AI for complex tasks, although they remain cautious about granting the tools access to sensitive systems and data. This caution contrasts with other perspectives suggesting agents will become reliable colleagues that can pull their weight in a corporate setting.
Accessibility to these tools has also become a primary point of discussion. The Forbes Business Council said that the tools are real, capable, and almost everyone has access [1]. To capitalize on this, some strategists have offered four specific tips for building an agent-ready company [2].
Beyond internal operations, the infrastructure of the internet is evolving to accommodate these entities. Recent discussions have highlighted that websites originally built for humans now need to be optimized to work for AI agents [3]. This evolution suggests a future where digital environments are designed for both human eyes and machine execution.
“Your next work team will include humans and agents.”
The transition from generative AI to agentic AI marks a shift from content creation to goal execution. While the technical capability to deploy these agents is widespread, the primary barrier to adoption is no longer the technology itself, but the governance of data security and the trust required to grant autonomous agents access to sensitive institutional systems.



