For most companies, the issue is not whether they have enough AI. It is that the work is still scattered across too many places. Over the past two years, enterprises have invested heavily in data platforms, copilots, and now agents. But those systems rarely operate in the same place. Customer data lives in the CRM....
Slack is starting to show what that actually looks like For a few years, workplace AI has promised the same thing: faster answers, better productivity, less busywork. But most of it hasn’t delivered. Not because the technology isn’t powerful, but because it hasn’t been tied to how work actually gets done. Today, every company is...
When tools like Claude went mainstream, many knowledge workers felt uneasy. For freelance copywriter Leigh Ann Shelton, the impact was immediate and financial. Shelton’s job was to do what good copywriters have always done: translate a client’s voice into persuasive marketing language. Websites. Campaigns. Brand messaging. The kind of work that depends on tone, clarity,...
For the past two years, many conversations about AI in the workplace have revolved around productivity. How do we get more output? How do we automate tasks? How do we reduce cost? All important questions. But they’re still focused on efficiency while the real performance breakthroughs in organizations don’t come from speed alone. They come...
By any conventional startup logic, LumberFi should already be slowing down. In just two years, the construction-tech platform has gone from zero to more than 70 employees, 5× annual growth, and recognition from both NASDAQ and the NYSE as one of the fastest-growing companies in its category. But founder and CEO Shreesha Ramdas is already operating in...
Companies everywhere are introducing AI at a pace that outstrips how quickly people can adapt. The pressure to modernize is real, and so is the strain it puts on established ways of working. At Ingka Group, the largest IKEA retailer in 32 countries, leaders recognized that tension early and set out to adopt AI in...
AI adoption is accelerating how fast companies build software—but the real crisis is running what they’ve built. As AI multiplies code, apps, and complexity, most organizations are hitting an invisible “glass wall”: their people and operations can’t keep up. The leaders who win won’t just ship faster—they’ll redesign how software is operated, or risk being crushed by their own AI success....
This is a continuation of my series spotlighting the companies that are truly AI native: organizations rethinking work at its core, not just bolting algorithms onto legacy processes. Each profile explores how these pioneers treat AI as an operating system for execution rather than a surface-level add-on. Notch represents one of the boldest examples. Instead of...
AI is the new electricity, but for CIOs, the real power lies not just in plugging into it, but in understanding the grid. Vendors will say they’re “powered by AI.” But ask a few deeper questions, and you’ll uncover a wide range of capabilities. Some built for lightweight automation, others trained to solve complex industry-specific...
Over the past several months, I’ve been chasing a question that feels central to our time: What does it really mean to be an AI-first company? Not the buzzword version, but the lived reality. What do these organizations see that others don’t? How do they operate differently? Not simply because they use AI, but because AI...
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