$100 million in annualized cost savings. Over 3,200 opportunities influenced. Those are the kinds of outcomes leaders everywhere are hoping AI will deliver. But in conversations with CEOs this year, one thing was clear: very few companies can point to results at this level yet. Many organizations made progress using AI to improve efficiency in...
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...
By Keith Ferrazzi, Wendy Smith, and Dan Roberts According to the now well publicized MIT-affiliated research and reporting, fewer than 5% of enterprise AI pilots ever deliver measurable business value. The other 95%? They’re still stuck in what we call AI Purgatory: exciting demos, scattered pilots, and vanishing trust. For the past couple of years, corporate leaders have been...
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...
Companies in most industries are investing heavily in artificial intelligence: 88% of companies reporting regular AI use. Yet many leaders report familiar frustrations. AI adoption stalls. Performance gains plateau. Employees experiment with new tools but don’t integrate them deeply into how work actually gets done, leaving executives increasingly concerned about ROI. Our research suggests this is...
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...
Across large enterprises, AI is moving quickly from experimentation into daily work. That shift is forcing leaders to confront issues they can’t delegate to technology: how performance is measured, how people are supported through change, and how values show up when machines start doing more of the work. Not every company is approaching those questions...
If you’re using AI only to automate, you’re already behind. The real winners are rebuilding work itself with systems designed to learn. Every CEO I talk to has an AI task force. Most have pilots underway. A few have even launched “AI Centers of Excellence”. Many think they’re deploying AI to automate work. In reality,...
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...
When generative AI entered the enterprise, many companies correctly identified the chief information officer–chief human resources officer (CIO–CHRO) partnership as the power team for the AI era. The logic made sense. AI was new technology. It would change skills, roles, and how people worked. Surely the leaders of technology and talent, working hand-in-hand, were the right stewards to drive the transformation....
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...
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