Author: Marc Ragsdale

Who gets the surplus value from AI?

Most companies experimenting with AI have yet to see real financial returns. In a recent Reddit discussion, I noted that while AI tools make individuals more capable, they have not made organizations more profitable. Clients and customers expect faster results for the same price, leaving margins unchanged. The real issue is structural: productivity gains are […]

The vanishing value of work delivered

Most companies lose the true value of their work the moment it is done. Deliveries are marked complete, but the quality, acceptance, or rejection of that work is rarely captured or preserved. This loss erases critical learning and insight. Kaamfu is solving this through Workscore, a new feature launching early next year that automatically records, […]

The leadership challenge: focus in an accelerated world

Leadership today is less about scarcity of information and more about managing the flood of distractions. As the final decider, being pulled into low value matters makes it harder to focus on what truly matters. To solve this, Kaamfu built a patent pending central queue that unifies alerts into one control panel, turning chaos into […]

When software creates more decisions than solutions

Microsoft Viva’s pricing page illustrates what is wrong with enterprise software. Three pricing tiers hide fifteen vague features spread across eight apps, forcing leaders to interpret, compare, and align choices across stakeholders. In theory, evaluating every feature means over 32,000 possible combinations before adoption even begins. Instead of simplifying work, this model multiplies complexity and […]

The bubble that will burst

The real AI bubble is not the technology itself but the wave of low value opportunistic offerings that promise instant fixes without addressing core problems. These quick wins inflate hype while data remains fragmented and unresolved. When that bubble bursts, AI will not collapse. It will reveal the durable players solving structural challenges of clarity, […]

The era of oversellers: navigating the hype cycle in AI

Every new technology wave begins with Oversellers who promise instant transformation, but reality demands far more groundwork. True progress unfolds in phases: Pioneers build foundations, Oversellers amplify the story, Builders create lasting value, and Settlers normalize it. Today AI automation sits squarely in the Overseller stage, full of bold claims and fragile demos. Sustainable success […]