The Ontario Auditor General’s AI report is not a warning against adoption. It is confirmation that AI has moved past experimentation and into operational infrastructure. The audit surfaces fragmented governance, inconsistent oversight, no clear inventory of where AI is in use, and procurement processes that have not caught up. These are the same issues showing […]
Apple’s AI Strategy May Be Simpler Than We Think
Apple does not have a frontier model, and most coverage stops there. The more interesting story is that Apple Silicon was quietly engineered for the kind of computing modern AI inference actually needs. Unified memory, high bandwidth, low power, and tight hardware/software integration make Mac Minis surprisingly capable AI appliances, especially for local agents, RAG […]
AI Needs More Than Engineers: Why Tech Companies Are Turning to Spiritual Leaders
Major AI companies are now consulting religious and spiritual leaders to help shape AI ethics and governance through initiatives like the Faith-AI Covenant. The shift signals a recognition the industry has avoided for years: intelligence is not the same thing as wisdom, no model is truly neutral, and once AI starts shaping human judgment at […]
The AI Interview Era Has Arrived
Coding interviews built around scarcity (no internet, no docs, no AI) no longer reflect how software actually gets built. Google is piloting AI-assisted interviews, Canva encourages AI use during technical screens, and Wealthsimple replaced the resume entirely with a one-week prototype-build challenge that drew 1,152 applicants. The skillset has shifted from syntax recall to systems […]
Industrializing AI: Canada’s Next Challenge After Research Leadership
Canada helped invent modern AI but is now at risk of losing the next phase. The global AI race is shifting from research breakthroughs to industrial competition: who can deploy, scale, integrate, and operate AI most effectively across an economy. China is well positioned for this transition. The U.S. is racing to build service layers […]
The AI Stability Crisis: Why Businesses Need Long-Term Support (LTS) Models
Frontier AI models drift. Even with the same prompts, same architecture, and same model name, behavior shifts week to week as labs tune reasoning, tool use, and inference routing underneath production systems. For enterprises building real workflows, predictable performance now matters more than peak intelligence. The industry needs Long-Term Support (LTS) AI models with fixed […]
The Rise of AX: Why Every Website Will Need Agent Experience Analytics
Agent Experience (AX) is the next analytics frontier. As AI bots, retrieval crawlers, and MCP-connected agents become primary visitors to websites, organizations need visibility into which bots access their content, whether agents understand it, and where automated workflows fail. AX analytics measures discovery, comprehension, interaction, trust, and performance for non-human traffic. The sites that start […]
When AI Enters Legal Workflows: The Emerging Crisis Around Attorney-Client Privilege
Attorney-client privilege was built for a human fiduciary relationship and does not extend to consumer AI platforms. In United States v. Heppner, a court treated AI conversations as third-party disclosures, not protected communications. Millions of people are now sharing legal exposure with AI systems that have no fiduciary duty, no confidentiality obligation, and terms of […]
The AI Labs Are Becoming Consulting Firms
OpenAI is partnering with Accenture, McKinsey, and the rest of the Big Four. Anthropic is building its own embedded implementation teams, more like Palantir than Microsoft. Both companies have realized AI adoption is an implementation problem, not a software licensing one. The value is moving up the stack toward integration, governance, workflow redesign, and AI […]
AI, Havel, and ‘AI for All’: Taking Back Some Control
Václav Havel argued that systems persist because people participate in them, often without realizing it. Applied to AI, we are quietly adopting tools we do not control, accepting outputs we cannot explain, and wrapping governance around black boxes. “AI for All” only matters if it means participation, not just access. Canada’s real opportunity isn’t to […]
Mythos Isn’t About Hacking. It’s About Systems.
“Mythos” isn’t a confirmed Anthropic model. It’s shorthand for a real shift: a class of Claude-level models that suddenly got exceptionally good at analyzing complex systems. Security headlines caught the wave first because vulnerabilities are system reasoning problems, but the real story extends to compliance, fraud, supply chains, and any dependency-driven domain. Once a machine […]
AI Is the New Geopolitical Battleground, and We’re Already in It
AI has become a geopolitical narrative battleground, with dark-money campaigns paying influencers thousands per video to shape public perception of a US-China AI Cold War. The deeper problem isn’t foreign influence in any single model. It’s opacity across every AI system, and the fact that compute access, not rhetoric, is the real power layer. Countries […]
Canada’s AI Compute Landscape: What I Found When I Tried to Build on It
Canada committed roughly $890M to AI supercomputing infrastructure, but builders still hit fragmented vendors, opaque pricing, and an unresolved trade-off: the most usable compute in Canada is the least sovereign, and the most sovereign is the least usable. Presence is not sovereignty. Closing that gap will take more than infrastructure spending. It needs transparent pricing, […]
The Next Frontier in AI: Token Efficiency
The AI conversation has been about capability for two years. Now a harder constraint is emerging: token efficiency. As agentic workflows replace simple chat interactions, token usage compounds from single prompts into thousands of tool calls and reasoning steps, breaking the economics of unlimited subscription pricing. The companies that win the next phase of AI […]
From AI Chat to AI That Acts: Why the Next Wave Will Feel Very Different
AI is crossing a critical line: from systems that talk to systems that act. Agentic AI can navigate tools, access data, trigger workflows, and make decisions across connected systems, all without waiting for a human to click the buttons. That shift changes the game from intelligence to control. The organizations that win next will not […]
