At the evening event of the PMI Asia Pacific Summit Series in Manila last year, we had just presented on Real Options as a tool for better decision-making in agile environments, when someone asked me: “What’s next? What comes after agile?” I said: “Honestly? I don’t know.

It was an honest answer. But before we can answer what comes after agile, we need to be clearer about what agile is, because a lot of the confusion starts there.

Agile is not Scrum

This is perhaps the most important distinction in the entire discussion. Agile is a mindset, a set of values and principles first articulated in the Agile Manifesto in 2001:

Individuals and interactions over processes and tools
Working software over comprehensive documentation
Customer collaboration over contract negotiation
Responding to change over following a plan

Scrum is one specific framework with sprints, standups, and ceremonies.

Somewhere along the way, the two became “one” in the same way that ‘tissue’ became ‘kleenex’, making it a brand-neutral term. Teams that struggled with Scrum declared agile dead. However, abandoning Scrum is not the same as abandoning agility. Kanban, SAFe, Shape Up, continuous delivery, and dozens of other approaches are all expressions of the same agile mindset.

So, when someone asks “is agile still relevant?”  the honest answer depends entirely on which agile they mean.

AI is Agility

Here is what makes the current moment so fascinating: AI-driven ways of working are deeply agile. AI is an expression of the agile mindset. Machine learning models don’t follow a fixed plan: they iterate, learn from feedback, and continuously improve based on new data. AI systems are built around experimentation: hypotheses are tested, results are measured, and the model adapts. That is exactly what the Agile Manifesto called for, just running at machine speed. In this sense, AI doesn’t threaten agility, it defends it. AI doesn’t replace agility; it amplifies it, making organizations more responsive and flexible.

However, AI does not run stand-ups. It does not do sprint reviews. It does not need a Scrum Master. This is not agile dying; it is agile evolving. The principles win and the ceremonies are optional.

This is also why we presented on Real Options at the summit. Preserving optionality, making small, reversible commitments while keeping larger choices open, is a natural complement to both agile thinking and AI-augmented decision-making. In fast-moving environments, the ability to have options is a competitive advantage.

Is Agile Still Relevant?

Yes, we believe more than ever. But only if we stop considering agile a single framework. Scrum may be challenged by AI-driven ways of working. The agile mindset is not. We should be evaluating, adopting, and governing AI in an agile way. We don’t know exactly what comes next. But we are confident it will be adaptive, iterative, and human-led, which sounds a lot like agile to us.