There is no debate about the role technology plays in Australia’s future. But the productivity dividend is not flowing as broadly or as quickly as it could.That tension is evident in CEO sentiment. Business leaders remain optimistic about AI and digital investment, but they are equally clear about the constraints. Regulation struggles to keep pace, skills shortages persist, data is fragmented and infrastructure is uneven. What is clear is that the pilot phase is over; execution at scale is now the determinant of value.Artificial intelligence brings this into sharp focus. Estimates suggest AI could add between $160 billion and $235 billion to Australia’s GDP over the next decade. Realising this opportunity depends on sustained investment, coordinated action and a deliberate uplift in data, architecture and governance capability. This is not a technology constraint; it is a system design challenge – spanning data, governance, skills, operating models and discipline.Over recent years, AI has been trialled through pilots and innovation hubs. That phase delivered valuable learning. The question now is whether organisations can move from experimentation to industrial-scale deployment.The next phase will likely be defined by scaling AI into core operations and by building trusted, well governed data foundations. Digital investment must now be held to the same governance and return thresholds as any other form of capital investment, embedding cost discipline and measurable ROI, while designing operating models that support continuous reinvention.This work is less visible than pilot announcements or lab demonstrations, but it is far more consequential. The gap between leaders and laggards will not be defined by who experimented first, but by who industrialised fastest.There is a tendency to assume the $250 billion ambition will be delivered by market forces alone. Markets will do much of the heavy lifting, but history shows that major economic shifts require alignment across industry, government, education and infrastructure. Digital transformation is no different.In practical terms, execution demands clearer priorities, better co-ordination and sustained commitment beyond election cycles and budget horizons. It requires treating data, skills and digital platforms as foundational capability, not discretionary spend. For business and technology leaders, this demands a shift from sponsoring innovation to owning execution.The question Australia should be asking is no longer whether we can reach a $250 billion digital economy. The next phase will be likely defined by whether our systems are designed to sustain it – and to convert scale into productivity, competitiveness and long-term national advantage.Ambition is not our problem. Execution at scale is.Nicholas Flood is managing director, IBM A/NZ.