Artificial Intelligence

Stop Resetting to Zero: How Professionals Can Make AI Compound Their Expertise

May 13, 2026 OZ Artificial Intelligence, Technology

Professionals often struggle with AI that behaves like every request is the first time it has seen the problem. In this article, I share a real scenario from a conversation with a friend who performs appliance inspections and relies on AI to identify make, model, and year from photos. Despite correcting the AI and documenting the right information, the system never reuses his prior knowledge. This post explains why that happens, how grounding solves it, and how Copilot can turn AI into a continuously learning analyst. It also includes a consolidated prompt and a full agent instruction specification for those ready to operationalize a grounded workflow.

AI Skepticism vs AI Reality (Part II): It’s Not a Bubble — It’s the Largest Infrastructure Upside Since the Cloud

May 4, 2026 OZ Artificial Intelligence, Technology

AI skepticism is collapsing under the weight of real data. Microsoft’s latest quarterly results show that AI demand is accelerating, capacity is filling faster than it can be built, and AI revenue is already material at scale. This is not a speculative bubble. It is the largest infrastructure expansion since the cloud and the early signs point to a long cycle of growth that skeptics failed to see. The upside is structural and only beginning.

AI Skepticism vs. AI Reality: What You See From the Inside Is Not What Wall Street Sees

March 30, 2026 OZ Artificial Intelligence, Technology

Preamble AI is at a crossroads where public perception and operational reality are moving in opposite directions. While headlines focus[…]

AI Isn’t Reducing Work—It’s Reshaping It. Are We Ready for What Comes Next?

February 16, 2026 OZ Artificial Intelligence

AI was expected to reduce workload, but emerging research shows the opposite. Generative AI accelerates tasks, expands responsibilities, and blurs the boundaries between work and rest, creating a quiet intensification of daily demands. After attending Tech Connect 2026, it’s clear that the next phase of AI adoption requires more than new tools. It requires intentional practices that protect focus, preserve judgment, and ensure sustainable productivity as organizations integrate AI into their operating rhythm.