By Samhita R, Co-founder and CEO, Resilience AI
There is an inconclusive debate on infrastructure and productivity. It is the decision myopia.
The degradation of infrastructure due to climate stress is estimated at USD 700 billion globally. More so, the indirect economic impact such as supply chain disruptions, power grid failures, and lost productivity due to damaged transport infrastructure is 7.4 times higher than the initial cost of physical infrastructure repairs.
Infrastructure is relevant if it “remains in use” for the purpose it is designed, constructed and maintained. A road submerged in water, an over-heated transformer during heat stress, inaccessible metro and railway stations during landslide, a non-operational health centre during cyclone is accounted as indirect economic impact. An inaccessible road for the workforce on a factory shopfloor, power shut down for small and medium business, schools, remote workforce, and an unexpected disappearance of a nearby health centre compound to loss of productivity.
The indirect economic impact supersedes the initial cost of physical infrastructure repairs. The inaccessibility impacts productivity. Both indirect economic impact and productivity are underreported. Is it a symptom of overlooking numbers or a series of assumptions?
Infrastructure is not concrete. Infrastructure is accumulated human decisions. Concrete is simply the outcome. Every bridge, transformer, railway, hospital, port and city exists because thousands of decisions were made over decades, about risk, investment, engineering, operations and priorities. The current operating infrastructure is simply the physical expression of those decisions.
Every morning, billions of people expect electricity to flow, trains to run, hospitals to function, water to arrive, supply chains to move and cities to operate. For almost two centuries, this operating system was designed around one quiet assumption, that nature would remain reasonably predictable.
Nature never signed that agreement. 331 days of 365 days behaves differently. The operating conditions have changed while the operating system has not. Perhaps this is the biggest infrastructure challenge. The engineering has not failed, many of the assumptions behind our decisions no longer hold.
At the same time, Artificial Intelligence (AI) has become one of the defining technologies of our decisions. AI is used to write, search, analyse, automate and accelerate work. AI is used to invent the first draft of cure. AI is used to identify the natural disaster blind spots.
Have we underestimated AI’s most important contribution?
For years, the conversation around AI has been dominated by productivity. How much faster can we work? How much cheaper can we operate? How many repetitive tasks can we automate?
Infrastructure has never failed because someone wrote a slow email. It fails because critical decisions arrive too late or are made with incomplete evidence. Somewhere along the way, we began celebrating intelligence as though intelligence itself creates better outcomes.
Intelligence is structured information. Intelligence in silos, across spectrum such as climate, financial, business and across sources such as Artificial intelligence, Satellite intelligence, Geospatial intelligence are not decisions. Decisions is intelligence in action. Decisions determine what changes because of intelligence.
We have built extraordinary intelligence systems. Every year we invest in better climate models, richer satellite imagery, more sophisticated forecasting and increasingly capable AI. Yet, infrastructure is failing and productivity is declining. This is the overlooked operational gap. Consider the decisions infrastructure operators make every day.
A utility cannot strengthen every substation before summer. It must determine which assets deserve investment first. A railway authority cannot reinforce every bridge before the monsoon. It must identify which corridor carries the greatest operational consequence. A city government cannot retrofit every neighbourhood simultaneously. It must understand where limited budgets protect the greatest number of people, livelihoods and essential services.
These are not engineering decisions alone. They are operational decisions. Perhaps that is the shift we have overlooked. The missing decisions combined with a series of assumptions is causing the myopia.
Infrastructure requires dynamic intelligence and continuous decision-making. Technology and science help with better decisions before disruption becomes loss. Technology without science creates speed. Science without technology creates delay. Neither creates better infrastructure. Techno-science does. When artificial intelligence, geospatial intelligence, engineering, multi-variate science and human judgement converge, infrastructure evolves from static concrete into adaptive structures, better prepared for changing operating conditions rather than historical assumptions.
This is the real opportunity for AI. The next generation of AI will quietly change the world, not by producing more information, but by reducing the distance between evidence and action.