Thoughts on Artificial Intelligence

What’s coming in 2026 is not another marketing tactic but a speed reckoning for industrial companies. Buyers now complete most of their evaluation before first contact, and the advantage goes to those that can respond in hours rather than days. AI is not the strategy itself, but the multiplier that makes this pace possible, removing friction so expertise can actually be applied. Companies that move now will pull ahead quietly, while those that wait will spend years trying to understand how their competitors got so fast.

AI assistants are rapidly becoming everyday business tools, but the convenience comes with a hidden cost: every prompt is a potential data exposure. From high-profile incidents like Samsung’s 2023 code leak to rising regulatory pressure, organizations are learning that AI privacy is not a single toggle, but a system of deliberate choices. This guide breaks down the controls, policies, and practical frameworks required to use AI confidently without surrendering sensitive information.

As vendors race to add AI features, your data risks fragmentation. This article explains how to build a central “source of truth” to align systems, insights, and strategy in 2026.

AI isn’t plug-and-play, it takes discipline and refinement. Studies show that while models like GPT-5 and Claude 4.1 are advancing fast, real success comes from continuous training, structure, and ongoing adaptation.

OpenAI has launched ChatGPT-5, a quiet release with transformative impact. This new model redefines what’s possible in AI performance and capability.