The story of productivity has always been a story of what we measure, how we think, and how we manage. Productivity matters — rising productivity drives economic growth and raises standards of living, while boosting corporate profits and return on investment.

We are now on the cusp of a reshaping of productivity­ — what drives it, how it’s measured, and what the term even means. Artificial intelligence (AI) is in the spotlight as the main force driving this reshaping, but it is not the only force. It converges with regulatory and sovereignty shifts, geopolitics and supply chain rewiring, energy and compute constraints, capital and cost-of-risk pressures, demographic change and talent expectations, and the climate transition. Together they make productivity a dynamic system property rather than a standard factory setting.

In the coming years, productivity may no longer be captured solely by the traditional ratio of quantity of output to units of input. What has so far been a relentless race for increased quantity may flip on its head, as we enter an era in which machines can generate seemingly infinite quantities of content. The focus will instead shift to quality and creativity, driven by the increasingly critical capacity of organizations to convert information, insight and innovation into sustained economic value. The challenge will be how to quantify and incentivize gains that occur not on production lines, but within digital ecosystems, in the speed of decision-making, the adaptability of autonomous systems, and utilizing the creativity unlocked through human-machine collaboration.

Yet even as much changes, the essence of productivity will continue to be about using resources, whether human, material, financial or computational, to achieve higher quality, better and faster outcomes.

For business leaders, the implications are profound. In the age of AI, real productivity will come not from incremental automation, but from re-architecting how organizations operate, decide and learn.

Productivity will move from the traditional dimensions of how to do tasks faster and cheaper to one where work is better, smarter, resilient and more strategic.

For governments and policymakers, the rise of AI in business demands more than a rethink of productivity metrics — it calls for education systems that prioritize digital, analytical, and adaptive skills. Governments will also need to consider the impact of AI on their industrial strategies, sustainability agendas and the planning of labor and immigration policies to support a reshaped workforce.

The leaders of tomorrow, in both business and government, will be those who treat AI not merely as a technological revolution but as a human one. In some cases, AI will evolve from a tool to becoming a part of the workforce, redefining performance, purpose and progress for a new era. In this future, productivity will no longer be about doing more of the same but about imagining and delivering what was previously impossible.

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