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AI Is Not a Technology Problem. It Is a Leadership Opportunity.



86% of boards have no regular, structured AI strategy discussions with management. Yet the directors in those same rooms are using AI tools almost every day. That is not a technology gap. It is a leadership gap, and it is one boards can close.


I attended the Australian Institute of Company Directors AI governance webinar in February, and I have been sitting with one question ever since.

Why are we treating AI primarily as something to manage rather than something to lead?


AICD Chair Naomi Edwards has described the most important quality a director can possess as ‘being alive to the future.’ AI is the test of whether boards actually are.


New Canadian research published this January, a national study of 123 board directors by The Directors College at McMaster University puts the gap in stark terms. 86% of boards report AI is not yet part of regular, structured strategy deliberations. Only 11% receive ongoing AI training. And 60% believe their existing risk frameworks do not adequately account for AI risks.

(Hartmann & Hartmann, Canada's AI Adoption Gap, January 2026)


These are governance gaps. But I am learning that the more urgent gap is a leadership one.


The Bolt-On Problem


One insight from the AICD session stopped me. The recommendation was clear: do not create separate AI teams. Do not treat AI as a bolt-on function measured in isolation. Embed AI considerations into all KPIs across the whole enterprise, linked directly to organisational strategy and growth aspirations.


I recognised this immediately because it is exactly what I learned about innovation.


Early in my career, the instinct was to measure innovation in one or two functions and call it a strategy. What actually worked was embedding innovation across the entire enterprise across value chains, with every function accountable. Not innovation as a department. Innovation mindset as a way of operating.

AI demands the same thinking. When it sits in a separate workstream with its own committee, it becomes a compliance exercise. When it is embedded in how the whole organisation thinks, plans and measures performance, it becomes a competitive capability.


The Restriction Reflex


The Australian data reinforces the pattern. Research from the Diligent Institute and Governance Institute of Australia shows that 61% of Australian organisations restrict employee AI use more than double the rate of their Asian counterparts. Meanwhile Asian boards are more than twice as likely to appoint directors with AI expertise.

(Diligent Institute / Governance Institute of Australia, November 2025)

We are managing down when the opportunity calls for leading up.


The Canadian research offers one genuinely encouraging signal: boards that reach a critical mass of three or more AI-literate directors show measurably stronger strategic engagement and risk oversight. The data confirms what many of us sense, a single voice in the room is not enough to shift board culture. Critical mass matters. (Hartmann & Hartmann, 2026)


The Human Advantage


Having created more than $500 Million from innovations commercialised globally, I have seen which organisations capture the most value from transformative technology. It is never the ones with the best policies. It is the ones where leaders ask better questions.


The AICD session offered three that I am taking back to my boards: 


  • How would you 10x the top line with new technology? 

  • Which parts of this business could be reimagined? 

  • How would a competitor starting today do this AI-enabled?


These are not technology questions. They are leadership questions. And they reflect something the McMaster research articulates well: AI should not be a tool picked up or put down at will. Used well, it becomes a co-pilot that enhances human judgment rather than replacing it.


Director accountability cannot be delegated to AI. But the quality of director thinking can be significantly elevated by it. The progression the AICD session described resonates with me: mindset first, then skill set, then tool set. In that order.


Boards that jump straight to tools without shifting the leadership mindset are repeating a mistake I observed in innovation adoption for decades.


How is your board embedding AI across strategy, not just managing it from the edges? Are you seeing the mindset shift happen in your boardroom?


 Sources

  1. Hartmann, M. & Hartmann, D. (January 2026). Canada's AI Adoption Gap and How Boards Can Help Close It. The Directors College, McMaster University.

  2. Diligent Institute / Governance Institute of Australia (November 2025). APAC Governance Outlook 2026.

  3. AICD (February 2026). AI Use by Directors and Boards: Early Insights.

 
 
 

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