“The greatest threat from artificial intelligence is not that machines will become smarter than we are. It is that intelligent people will become so comfortable with what they already know that they refuse to learn what comes next. Experience may earn us a seat at the table, but curiosity, courage, and adaptability will determine whether we remain there.” – MJ Martin
The Real Threat Is Refusing to Adapt
I have never believed that intelligence alone guarantees professional success. Experience matters. Education matters. Judgment matters. But none of these qualities excuses anyone from adapting when the world changes.
Artificial intelligence is not simply another technological advancement. It is fundamentally changing how knowledge is applied, how decisions are made, and how organizations create value.
My position is straightforward. AI will not necessarily displace the smartest people. It will, however, expose those who mistake yesterday’s expertise for tomorrow’s relevance.
A brilliant professional who refuses to learn can become less effective than a capable colleague who embraces new tools. Intelligence without adaptability is like owning a powerful engine while refusing to learn how to drive.
Canada Cannot Afford Intellectual Complacency
Canada has considerable intellectual capital, respected institutions, and highly skilled professionals. Yet possessing these advantages does not guarantee we will capitalize on the AI revolution.
Statistics Canada reported that 35.9% of Canadian workers used generative AI at work during the year preceding March 2026. Nevertheless, only 19.2% of Canadian businesses reported using AI to produce goods or deliver services in the second quarter of 2026.
That gap should concern every Canadian business leader.
I see an important distinction between knowing AI exists and understanding how to use it responsibly. Whether in engineering, public administration, infrastructure management, or professional services, the competitive advantage increasingly belongs to those who combine technological capability with practical experience.
Adaptability Is Essential, Not a Guarantee
I would caution against suggesting that embracing AI makes anyone indispensable. Technological disruption can eliminate positions regardless of individual talent.
The International Labour Organization estimated that one in four workers worldwide occupied jobs exposed to generative AI in 2025. Most affected occupations are more likely to be transformed than eliminated.
Meanwhile, the World Economic Forum projects that 39% of existing skill sets will change or become outdated between 2025 and 2030.
These findings reinforce my central argument. Continuous learning is no longer optional professional development. It is an essential element of remaining relevant.
Leadership Must Set the Example
I believe leaders have a particular responsibility. We cannot demand innovation from employees while remaining personally resistant to change.
Organizations must provide training, establish appropriate safeguards, and encourage responsible experimentation. Professionals must challenge assumptions, verify AI-generated conclusions, and recognize where human judgment remains irreplaceable.
AI should strengthen our thinking, not replace it.
The Choice Is Ours
My greatest concern is not that machines will become more intelligent. It is that capable people will become intellectually complacent.
Canada’s future competitiveness will depend on whether we treat AI as a threat to defend against or an opportunity requiring disciplined adaptation.
The smartest person in the room may no longer be the one with the most answers. It may be the one willing to ask better questions, challenge established practices, and keep learning.
So I leave you with this question: Are we preparing ourselves to lead through this transformation, or are we relying on credentials, experience, and past accomplishments to protect us from a future that will not stand still?
About the Author:
Michael Martin is the Vice President of Technology with Metercor Inc., a Smart Meter, IoT, and Smart City systems integrator based in Canada. He has more than 40 years of experience in systems design for applications that use broadband networks, optical fibre, wireless, and digital communications technologies. He is a business and technology consultant. He was a senior executive consultant for 15 years with IBM, where he worked in the GBS Global Center of Competency for Energy and Utilities and the GTS Global Center of Excellence for Energy and Utilities. He is a founding partner and President of MICAN Communications and before that was President of Comlink Systems Limited and Ensat Broadcast Services, Inc., both divisions of Cygnal Technologies Corporation (CYN: TSX).
Martin served on the Board of Directors for TeraGo Inc (TGO: TSX) and on the Board of Directors for Avante Logixx Inc. (XX: TSX.V). He has served as a Member, SCC ISO-IEC JTC 1/SC-41 – Internet of Things and related technologies, ISO – International Organization for Standardization, and as a member of the NIST SP 500-325 Fog Computing Conceptual Model, National Institute of Standards and Technology. He served on the Board of Governors of the University of Ontario Institute of Technology (UOIT) [now Ontario Tech University] and on the Board of Advisers of five different Colleges in Ontario – Centennial College, Humber College, George Brown College, Durham College, Ryerson Polytechnic University [now Toronto Metropolitan University]. For 16 years he served on the Board of the Society of Motion Picture and Television Engineers (SMPTE), Toronto Section.
He holds three master’s degrees – in business (MBA), communication (MA), and education (MEd). As well, he has three undergraduate diplomas and seven major certifications in business, computer programming, internetworking, project management, media, photography, and communication technology. He has completed over 80 next generation MOOC (Massive Open Online Courses) [aka Micro Learning] continuous education programs in a wide variety of topics, including: Economics, Python Programming, Internet of Things, Cloud, Artificial Intelligence and Cognitive systems, Blockchain, Agile, Power BI, Big Data, Design Thinking, Security, Indigenous Canada awareness, and more.
Martin is a volunteer, a photographer, a pilot, a learner, a technologist, a philosophizer, and a romantic optimist.