When a goal goes in during a tournament quarter-final and a hundred million people watch it at the same time, what they feel is the goal. The roar, the replay, the disbelief. They do not feel the contribution feeds traversing private media networks across continents, or the edge nodes absorbing a traffic spike that appeared…
DetailsThe biggest and loudest prediction about AI is that it will eliminate millions of jobs. It is dramatic and easy to repeat. But from what I’ve seen, inside most enterprises the more immediate problem has turned out to be something else entirely: a growing mass of tools, agents, models and usage costs spreading faster than…
DetailsThe emergence of artificial intelligence is beginning to expose a profound weakness in the way modern enterprises measure performance. For decades, business evaluation systems have been built around the logic of the industrial and transactional economy. Revenue growth, operating margins, earnings per share, labor productivity, return on investment and market share became the dominant indicators…
DetailsCIOs remain at the forefront of setting the course for AI adoption in their organizations. In fact, 82% of CIO respondents to CIO.com’s 2026 State of the CIO survey are responsible for researching and evaluating AI products, with 78% of IT leaders saying their IT departments are driving AI adoption efforts, with business units aligning…
DetailsEnterprise AI is entering a new phase. While the first wave of generative AI focused on human productivity and content creation, the next wave — agentic AI — will fundamentally change how organizations operate. Agentic AI systems are capable of reasoning, planning, making decisions and executing actions across applications, workflows and business processes with minimal…
DetailsFor diversified enterprises, few operating model questions are as persistent or polarizing as centralization versus decentralization. Decentralization promises speed, ownership, and local responsiveness. Centralization promises efficiency, standardization, and leverage. Both can be right. Both can be wrong. The challenge is that many organizations end up with both models operating at once, without enough clarity about…
DetailsSomewhere in the last eighteen months, “AI agent” stopped being a useful term. CIOs may even be afraid to ask what “agent” truly means, as it now seems to describe everything from a chatbot that answers HR questions to an autonomous research system that plans its own week of work. When a single phrase carries…
DetailsIn one ransomware response I observed, the master operational dashboard remained green while the underlying environment told a very different story. It was a classic example of what we in the IT audit profession call the “watermelon effect”—green on the outside, red on the inside. Beneath that dashboard sat an unmapped web of legacy technical…
DetailsChina has created an international organization to set standards and introduce regulation for AI, inviting 28 other countries to join — but the US, a leading AI powerhouse is not part it. The World Artificial Intelligence Cooperation Organization (WAICO) was established by 29 countries, including China, Russia and Brazil, at a ceremony in Shanghai, China,…
DetailsWe are inundated with promises that artificial intelligence will save us and that the next governance framework will protect us. Buy this platform, adopt that model and the hard part finally gets easier. After 15 years in this field, I have wanted that shortcut as much as anyone. But both promises are downstream of something…
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