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“The future belongs to the curious, and seniors have been curious longer than anyone.” – MJ Martin

The New “Neighbour” on the Block

Artificial Intelligence has arrived like a new neighbour who moved in overnight, painted the house a bold colour, and introduced themselves with a megaphone.  Suddenly, everyone is talking about them.  Some people are thrilled.  Some are suspicious.  Most are simply trying to figure out what this neighbour actually does for a living.

For seniors, that curiosity is not only normal, it is wise.  You have seen many “next big things” come and go.  You remember when the internet sounded like a fad, when email felt impersonal, and when smartphones seemed unnecessary.  AI belongs in that same category of major change, but the goal is not to worship it or fear it.  The goal is to understand it well enough to use it safely, practically, and with a little laughter when it gets things delightfully wrong.

The Best Way to Learn AI Is to Learn It Like a Tool

The most effective way to learn AI is not by trying to absorb everything about it.  Learn it the way you would learn any useful tool in the home.  You do not read a 400 page manual before using a blender.  You start with something simple, you watch what happens, and you learn what settings to avoid when you value a tidy kitchen.

AI learning works best when it begins with real needs.  Pick a small task you already do, and invite AI to help.  Ask it to rewrite a message so it sounds more polite.  Ask it to summarize an article that feels too long.  Ask it to create a checklist for a trip, a family gathering, or a medical appointment.  Then read the result carefully.  Keep what is useful.  Discard what is not.  Ask for a second attempt if needed.  This practice builds confidence quickly, because you are learning by doing, not by collecting abstract information.

A gentle routine beats a heroic weekend of studying.  Ten or fifteen minutes a few times a week is enough to build comfort without frustration.  Seniors often learn best with steady repetition, and AI rewards steady repetition because it teaches you how to ask clearer questions over time.

Dodging the Marketing Circus and Finding Credible Learning

Because AI is fashionable, the advertising around it can be loud and slippery.  Some courses are excellent, but many are designed to sell excitement rather than build skill.  Credible learning has a few signs that are easy to spot.  It explains what AI cannot do, not just what it can do.  It demonstrates real examples you can test.  It encourages verification and privacy.  It avoids promises like “master AI in one day” or “replace your income in a week.”  When a course sounds like a late night infomercial, it usually teaches like one.

A smart approach is to learn from sources that benefit when you become informed, not when you become dependent.  Libraries, community colleges, senior centres, and reputable universities often offer introductions that focus on practical understanding rather than hype.  Many public institutions also provide workshops that teach digital literacy, online safety, and misinformation awareness, which are essential skills in the AI era.

If you do use online courses, choose ones that are regularly updated, clearly authored, and focused on outcomes rather than buzzwords.  The best teachers will tell you, with a smile, that the field changes fast and that no single course will “finish” your learning.  That honesty is a red flag.

The Field Changes Rapidly, So Learn the Parts That Last

Yes, AI changes quickly.  New tools appear, old ones rename themselves, and features move around like furniture in a store that enjoys confusing you.  The solution is to learn the durable skills, the ones that remain valuable even when the interface changes.

The durable skills are asking good questions, checking answers, and understanding limits.  AI can sound confident while being mistaken.  It can mix true information with errors in a way that looks convincing.  The best defence is a simple habit.  When the information matters, verify it.  Ask for sources.  Cross check with reliable websites.  If the topic is health, money, legal matters, or safety, treat AI as a helper for understanding, not as a final authority.

Another durable skill is knowing what you should never share.  Avoid entering passwords, banking details, personal identification numbers, or sensitive medical information.  Treat AI like a helpful stranger at the coffee shop.  Friendly, interesting, and not entitled to your private life.

What Seniors Should Focus On

Seniors benefit most from AI when it reduces friction in daily life.  Communication is a big one.  AI can help draft emails, write thank you notes, respond to confusing messages, and adjust tone so you sound warm instead of rushed.  It can also translate text and explain jargon, which is useful when dealing with technology, services, or paperwork.

Information management is another strong area.  AI can summarize long articles, compare options, and turn scattered thoughts into a tidy plan.  It can help you prepare questions for an appointment, organize a travel itinerary, or create a grocery list based on dietary preferences.  It can also support hobbies, helping with recipe variations, gardening tips, photography ideas, book recommendations, and explanations of topics that feel overly technical.

Used wisely, AI becomes a tool for independence.  Not because it replaces human relationships, but because it makes everyday tasks less exhausting, leaving more time for the people and activities that matter.

Lessons to Avoid

The biggest lesson to avoid is treating AI as a person who knows you deeply.  It can imitate conversation, but it does not have judgement, lived experience, or responsibility.  Do not rely on it for emergency advice, medical diagnosis, or financial decisions without professional guidance.  Do not use it as the only source for sensitive information.  Do not assume that an answer is correct because it sounds polished.

Another trap is chasing every new tool out of fear of being left behind.  You do not need to catch them all.  Pick one or two reputable tools, learn them well, and build your habits.  That is how you stay current without feeling overwhelmed.

Is Learning AI Different for Seniors Than for Younger Students

In some ways, yes.  Seniors often learn best through practical goals, patient pacing, and social support.  Younger students may explore AI through coding, experimentation, and rapid feature hopping.  Seniors can focus on everyday value, safety, and confidence, which are arguably the most important outcomes for most people anyway.

Seniors also bring an advantage that cannot be downloaded.  Life experience.  You have strong instincts for nonsense, exaggeration, and empty promises.  In the AI era, that skill is golden.  Learning AI as a senior is not about catching up to youth.  It is about using wisdom to adopt a new tool without surrendering common sense.

AI is not a test you pass.  It is a new appliance in the kitchen of modern life.  Learn the buttons you actually use, keep your hand on the safety switch, and do not be surprised if it occasionally makes a mess.  That is not failure.  That is simply learning in a world that keeps reinventing itself, and seniors have been doing that brilliantly for decades.

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 certifications in business, computer programming, internetworking, project management, media, photography, and communication technology. He has completed over 60 next generation MOOC (Massive Open Online Courses) continuous education in a wide variety of topics, including: Economics, Python Programming, Internet of Things, Cloud, Artificial Intelligence and Cognitive systems, Blockchain, Agile, Big Data, Design Thinking, Security, Indigenous Canada awareness, and more.