Living Within the Lie
What AI, Sustainability and Global Supply Chains Have in Common
We are not in a transition. We are in a rupture.
We are not facing separate challenges in AI, sustainability, and global supply chains. We are facing a single systems problem. We are trying to operate and scale in a world that no longer behaves predictably, using models designed for stability.
Trade is no longer neutral. Climate volatility has become an operating condition. Technology and data now function as sources of power as much as productivity. Policy and capital are increasingly being used to shape regional priorities, while many organizations continue to plan as if continuity will return.
It will not.
That distinction is starting to surface in parts of the global policy and financial system. Earlier this year in Davos, Mark Carney described the current moment not as a gradual transition, but as a rupture, arguing that the old order is effectively over, even as the new one has yet to fully take shape.
That framing matters. Transitions can be managed with roadmaps. Ruptures cannot.
The moment we are actually in
Across AI, sustainability, and global supply chains, a similar pressure is starting to surface. Not pressure to grow faster or innovate more, but pressure to hold. To absorb volatility. To continue functioning under conditions these systems were never designed for.
AI is being pushed out of pilots and into everyday enterprise decisions, with the expectation that it will deliver real business value at speed. Sustainability is being pulled out of targets and disclosures and into the structure of value chains, where circularity is expected to work end to end. Supply chains are moving away from predictable cycles toward more demand-driven and personalized models, while still being expected to remain resilient.
The expectation has changed. These systems are now meant to operate reliably in a world that no longer behaves predictably, while our ways of organizing, leading, and governing still assume stability.
Access to critical technologies and inputs is uneven and increasingly shaped by who controls rapid technological advancement. Climate-related instability has become structural rather than episodic. Supply chains are shaped by sanctions, tariffs, alliances, and industrial policy. Regulation is increasingly used to steer markets, not merely to correct them.
Under these conditions, outcomes are shaped less by efficiency alone and more by leverage, influence, and the ability to remain flexible and adapt as conditions shift.
The lie of continuity
The most comforting lie we are telling ourselves is that the systems that scaled the last era can simply be extended into the next.
AI strategies assume that better models will compensate for fragmented data, unclear ownership, and siloed decision-making. Sustainability strategies assume that targets and reporting will translate into structural change, even when value chains remain opaque and incentives misaligned. Global supply chains assume that efficiency-first architectures can absorb geopolitical pressure, climate shocks, and regulatory fragmentation without fundamentally changing shape.
They cannot.
What appears to be three separate challenges is in fact one systemic mismatch. We are applying yesterday’s logic to today’s reality.
This is not new
This is not the first time societies have faced a break of this kind. Before the industrial revolution, many of the technologies that later transformed society already existed. What delayed transformation was not the absence of innovation, but the absence of enabling systems. Infrastructure, capital markets, labor organization, legal frameworks, and new forms of management had to be built alongside technology before scale was possible.
The winners of that era were not those with the best machines alone. They were those willing to build the infrastructure around them. Railways came before mass production. Standards before scale. Institutions before efficiency. We tend to romanticize technological breakthroughs. History shows that transformation becomes viable only when leaders act as system builders and create the conditions that allow new technologies to matter.
Today’s failure is not technical.
Most organizations still operate as machine bureaucracies, with siloed mandates, narrow KPIs, and local optimization. This structure worked when the environment was stable and trade-offs were limited. It breaks down in a world where decisions must be made across functions, time horizons, risks, and competing objectives at the same time.
Scale is no longer constrained mainly by technical capability, but by how decisions are made and trade-offs are governed. The economic system most organizations operate within was designed for growth, efficiency, and optimization under stable conditions. It struggles to account for systemic risk, long-term resilience, and non-linear impacts. Climate risk remains underpriced. Nature and social systems remain largely external to value creation. New forms of value and power created through data accumulation are poorly captured. Volatility is still treated as a deviation rather than a baseline.
The result is that even leaders who recognise the need for change are often pushed back toward decisions that reinforce fragility rather than reduce it.
We perform stability while risk accumulates underneath.
What this moment actually demands
If this moment is a rupture rather than a transition, incremental fixes will not be enough. Leadership in this decade is about making decisions under uncertainty. It is about holding competing objectives without pretending they can be solved sequentially. It requires the ability to govern trade-offs rather than optimize them away.
This moment also exposes a growing gap at the top. Executives are increasingly expected to make decisions shaped by AI systems they do not fully understand, climate risks they were never trained to assess, and geopolitical dynamics they still treat as external or temporary. In many organizations, these forces remain delegated to specialist functions rather than integrated into core decision-making.
Strategy can no longer be built function by function. It must be built systemically, with explicit choices between resilience, efficiency, sustainability, and sovereignty. That requires new governance models, not just new tools.
Inside the in-between
The most dangerous lie we are living with is not that change is hard. It is that the old system can still be made to work with enough effort, data, or ambition. History suggests otherwise. When the world changes this deeply, success belongs to those who stop performing continuity and start building what the new era requires. Not just technologies, but the organizational, institutional, and economic infrastructure that allows those technologies to matter.
We are not waiting for the future. We are already inside it, without the systems needed to make it work.
That is the challenge of the in-between, and the opportunity for leaders willing to act before certainty returns
.