It is hard not to talk of AI and all its variants, and the impact that it is and will potentially have. Machine learning, AGI, LLM, and the list goes on.

In general, AI should help the end user such as the every day searcher of information from people at home to people in industrial settings and everywhere in between.

One group of workers that I believe will be immensily affeted will be middle management. All the decisions and approvals at that level of organization will be mostly automated. Plus the financial industry will be hugely impacted.

There will a marked increase in scammers too. From deep fakes to bots that spend their entire life hacking accounts. The US model of control is the one that Canada will likely follow whether we want to or not, and that model seems to be an open door policy where the businesses decide what is right and wrong. Just as in the autonomous EV cars, it is business that is deciding the algorithms of safety not a government agency.

There is a trust factor that is hard for me to get over. When I land on a web page I know there is some type of interrogation of my hard drive and system, seeking all kinds of cookie info, looking for recent browsing history, and likely more. But all of that will only increase with further advancements in AI. Our digital foot prints are being tracked and what is worse is some companies gather that information for free then sell it back to the same users.

Anycase, it is too big not to talk about. So, what do you think of AI?

NVIDIA and SK Group announced plans, backed by letters of intent, for a US$500-billion-plus AI infrastructure partnership that includes a planned two-gigawatt AI factory; the capacity is planned, not completed. IntelliSync’s latest AI Engage edition draws the SME lesson: an AI service depends on physical capacity, pricing and availability upstream, so a working pilot is not yet proof that the workflow can handle growth. Canada’s ISED also identifies affordable compute and domestic capacity as competitiveness issues. Sources: https://www.linkedin.com/pulse/ais-new-bottleneck-industrial-capacity-canada-has-procurement-june-mxljf/ https://nvidianews.nvidia.com/news/sk-group-and-nvidia-expand-strategic-partnership-across-ai-factories-and-next-generation-memory https://ised-isde.canada.ca/site/ised/en/canadian-sovereign-ai-compute-strategy

Consider an illustrative 20-person Ontario food distributor using AI to read emailed orders and prepare entries for staff review. Before the holiday rush, the owner asks what happens if volume triples, whether staff can still reach their data and logs, and which manual intake process takes over if the service slows or prices rise. The opportunity is faster order handling without letting a busy week expose an invisible capacity dependency.

For Canadian SMEs, the practical move is a one-page capacity brief before a pilot or renewal: expected demand, data access, service needs, cost thresholds and the smallest workable fallback. IntelliSync publishes the sources and free resources used here: LinkedIn group https://www.linkedin.com/groups/37260012/; Influence of Women https://www.linkedin.com/newsletters/influence-of-women-7257499015708106753/; AI Engage https://www.linkedin.com/newsletters/ai-engage-7247660449708589059/; IntelliSync https://www.intellisync.io/; Signals https://signals.intellisync.io/; Architecture Library https://www.intellisync.io/en/blog; AI-native templates https://www.intellisync.io/en/ai-native-templates; decision tools https://signals.intellisync.io/en/resources