There is a tidy story going around about the end of enterprise software. Call it the SaaSpocalypse. AI and vibe coding have made it cheap enough to rip out your software-as-a-service contracts and build your own replacements. The rush to rebuild carries its own risk, one that surfaces only after the SaaS is gone. Teams…
DetailsA factory can forgive a late email. It won’t forgive a robot arm that arrives three milliseconds after the conveyor. That sounds absurdly small. Three milliseconds barely qualify as waiting. Yet inside operational technology, tiny gaps can carry heavy consequences. A protection relay trips late. A vision system pairs an image with the wrong product.…
DetailsIn July, two frontier labs disclosed cases in which cyber-capable agents crossed the intended boundaries of evaluation environments and reached real production systems at external, unrelated organizations. Most commentary since has focused on which company a court would find liable. There is a more immediate concern for anyone operating agents in production, and it’s not…
DetailsIt’s no surprise that reaping the rewards from AI requires careful guidance, especially in helping staff use tools safely and productively. Yet evidence suggests some CIOs and their executive peers aren’t providing the level of guidance employees require. While three-quarters of IT staff have access to AI tools, one in five technologists are expected to…
DetailsThere is a question that quietly embarrasses more automation projects than any technical failure: How much did it actually save? Ask it a year after launch and watch what happens. The team is confident the new system is better. Everyone remembers how tedious the old way was. And yet nobody can produce a number, because…
DetailsAI agents can go to great lengths to complete the tasks their operators assign, and as a series of recent incidents showed, this can include exploiting third-party systems, manipulating people, and distributing malicious code. But AI agents are not people who can be fired, sued, or criminally prosecuted, and it remains unclear whether responsibility for…
DetailsThere are few professions where part of the job is literally to read the newspaper, watch television or continuously check what is happening across every channel. In a media organization, that is not confined to journalists. Keeping up with events is, in one way or another, part of the work of much of the organization.…
DetailsThe early stages of AI adoption focused primarily on getting organizations to adopt AI-enabled solutions such as copilots, agents, assistants and AI-powered workflows. The priority was demonstrating that AI had the potential to deliver value, not scrutinizing every dollar spent along the way. At the time, this made sense. There were relatively few people using…
DetailsMohan Sankararaman calls the old way of doing transformation a trap. As executive vice president and CIO of First Horizon, a regional bank headquartered in Memphis, he used to have the luxury of big, infrequent technology bets — the kind that land every few years and reshape the organization in one push. Now he funds…
DetailsEvery enterprise AI conversation I hear eventually turns to prompts. Which prompting technique produces the best results? Which large language model reasons more effectively? Which framework generates more accurate answers? These are worthwhile questions, and I understand why they dominate the conversation. Prompt engineering has become one of the most visible aspects of enterprise AI…
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