STRATEGIC

Every week brings another announcement. A new AI copilot. A new GenAI platform. A new pilot program with promising early results. And then, mostly, silence. The projects that don't scale are rarely explained honestly. The narrative defaults to AI being immature, the technology not being ready. But that explanation is becoming harder to sustain. Models are improving faster than enterprises can absorb them. The bottleneck has shifted — and most organizations haven't admitted it

One of the more interesting debates emerging in enterprise AI is whether Agentic AI will eventually replace traditional automation platforms such as RPA. The argument sounds compelling at first glance. If AI agents can reason, plan, make decisions, and interact with enterprise applications, why would organizations still need predefined workflows and deterministic automation? Recently, I came across a discussion arguing that deterministic automation cannot be replaced by AI ag

For the last two years, companies have been experimenting with AI everywhere. Every conference, every roadmap, every strategy presentation suddenly became “AI-first.” Organizations rushed into pilots, internal chatbots, copilots, automation projects, and proof-of-concepts. The pressure was huge. Nobody wanted to look like they were falling behind. But the market is slowly changing. The question is no longer:“Can we use AI?” Now the real question is:“Can we actually run busine