It is already commonly acknowledged that AI is disrupting everything. Industries are changing. Business models are shifting. Entire workflows are being redesigned. I remember years ago reading Marc Andreessen’s famous essay,  “Software Is Eating the World.”  At the time, it felt bold. Today, it feels obvious. Now, some might say something even more ambitious:  AI is eating the world . But AI is not only transforming industries. It is  transforming organizations .  In this pie

One of the quiet but significant shifts happening in the technology industry is this: AI companies are hiring far fewer salespeople than traditional enterprise software companies. In the SaaS era, sales teams were the growth engine. But in the AI era, the center of gravity is shifting toward engineering, product, and developer adoption . Companies like OpenAI, Anthropic, and Hugging Face have demonstrated a very different organizational pattern compared with traditional enter

A few years ago, I worked closely with a large Asian technology company that had made a decisive move. The mandate was bold: Build a world-class AI research and engineering center in Silicon Valley. The logic was sound. Access frontier talent. Accelerate innovation. Strengthen global competitiveness. From a strategic standpoint, the decision was obvious. From an organizational standpoint, it was anything but simple. Phase One: Building the Lab The company moved quickly. Seni

Artificial intelligence continues to reshape industries, driving innovation and efficiency across sectors. Yet, as companies race to adopt AI technologies, they face a significant challenge: finding the right talent. The hardest role to hire in AI is not just one position but a range of specialized roles that require unique skills and experience. This post explores the ten most difficult AI roles to fill, helping CEOs, CTOs, HR leaders, and founders understand where the tale